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Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact. The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels. Responsibilities As a Strategic product analyst at Aidoc’s Analytics group, you will play a critical role in expanding our data-driven vision and building analytics capabilities that create value for both our customers and internal teams. Your work will include: Building scalable customer-facing analytics and data-sharing products, transforming complex data and customer needs into reliable, intuitive, and standardized solutions. Partnering with Customer Success and Product teams to understand how customers use our products, identify opportunities to improve adoption and demonstrate value, and translate site needs into scalable analytical solutions. Leading strategic analyses across products, workflows, and clinical domains, connecting data from multiple parts of Aidoc’s ecosystem to uncover insights and support business and product decisions. Designing product KPIs and measurement frameworks, monitoring trends, and working with key stakeholders to translate findings into actionable insights. Conducting decision-support analyses for Product, Customer Success, development, and operational initiatives. Designing and improving scalable data models and analytics infrastructure that support customer-facing products, internal analytics, and repeatable analytical capabilities. Continuously expanding our analytics knowledge base, improving data quality and reliability, and documenting learnings to strengthen the team’s collective expertise. The role is all about collaborating with stakeholders to craft their questions into tangible metrics and captivating visuals, empowering them to uncover insights and make informed decisions through the power of data. Plus, you get to dive deep into learning opportunities and document your discoveries, enriching our collective intelligence and fueling continuous improvement. Requirements 5+ years of experience in Product Analytics, Data Analytics, Business Analytics, or a similar analytical role. Strong technical orientation and eagerness to understand data models, pipelines, and analytics infrastructure. Demonstrated ability to work independently, navigate ambiguity, and collaborate effectively across multiple functions and stakeholders. Excellent verbal and written communication skills as well as presentation skills B.Sc or equivalent studies with extensive hands-on projects A Master's degree - An advantage Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Investigating 770 Million User Interactions Across a 100TB Data Lake When a platform serves 770 million users, every optimization from reward mechanics to SDK integrations needs to be grounded in data. The Rewarded Analytics team builds the internal dashboards, alerting systems, and data pipelines that monitor the user funnel, traffic engagement, and reward consistency. SQL and Python power deep-dive investigations and automated 100 terabyte-sized data analyses queried through Trino. Using Tableau as the main visualization tool, stakeholders have access to real-time insights on the product performance. Airflow orchestrates the pipelines that keep everything up to date. This team provides the data that turns questions into answers: every A/B experiment the product team runs, every anomaly a publisher flags, and every new SDK integration. These answers guide all the business decisions. Your Mission & Who We Are Looking For: - Data analyst with an exceptional technical foundation. You have 7+ years as a Data Analyst or Analytics Lead in the AdTech domain, with mastery in SQL and Python for processing multi-terabyte ad impression, bidding, and conversion event streams. - Focused on data quality and anomaly detection. You have extensive experience building anomaly detection frameworks using clustering, distribution analysis, and cross-population comparison to catch data drift, tracking drops and discrepancies before they create severe impact. - You own the systems, not just your slice. You hold a technical helicopter view of the full AdTech data stack: tracking specs, API integrations, data lake architecture, and event pipelines. You can evaluate technical tradeoffs and guide engineering on infrastructure improvements. - Automation-minded across the stack. You establish team-wide technical standards, building production-grade data quality suites, automated monitoring pipelines, and reusable analytics modules. Hands-on experience with dbt and Airflow is required. - Technical leader and strategic advisor. You elevate the entire team's technical bar, drive cross-functional alignment between engineering, product, and commercial stakeholders, and turn complex data telemetry into clear strategies that level up our ad tools and operations.   🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Almaty, Kazakhstan; Astana, Kazakhstan; Belgrade, Serbia; Bengaluru, India; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Odesa, Ukraine; Remote.BG, Bulgaria; Remote.GE, Georgia; Remote.KZ, Kazakhstan; Remote.PL, Poland; Riga, Latvia; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Senior Business Analyst with experience in tax-related processes and e-invoicing to support solutions involving VAT electronic handling and invoice compliance. In this role, you will work closely with business and technical teams to analyze requirements, define processes, and ensure the solution aligns with regulatory and operational needs. Now the team is working on the development of a modern toolbox that provides companies with a digital personal travel agent to quickly and inexpensively book all of their employees' travel. Gather, analyze, and document business requirements related to tax and e-invoicing processes Work with stakeholders to understand VAT electronic handling requirements Analyze and support invoice-related workflows and compliance needs Translate business needs into clear functional specifications for technical teams Collaborate with cross-functional teams to support solution design and delivery Ensure alignment of business processes with regulatory and invoicing standards Support testing, validation, and implementation of e-invoicing features Proven experience as a Business Analyst in enterprise or finance-related projects Strong understanding of tax processes Experience with e-invoicing solutions Knowledge of VAT electronic handling Familiarity with UBL (Universal Business Language) Strong analytical and communication skills Strong accounting/audit background and VAT treatment understanding Ability to work effectively with both business and technical stakeholders Knowledge of laws and requirements for e-invoicing in France, Spain, Filipines Experience with compliance or regulatory-driven projects Background in finance, accounting, or tax systems Knowledge of invoice exchange standards or document workflows

Location: Ho Chi Minh City, Vietnam Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 4 years of experience as Business Analyst A degree in Business, IT or any relevant field Previous experience working in the insurance industry is required (Insurtech or health insurance experience is preferred) Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Currently based in Vietnam Why You'll Love Working Here Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Annual Health Check-up CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are currently hiring a Junior Data Analyst to join our Event Analysis and Insight team. Candidates must have a passion for data manipulation and visualization and the ability to think both independently and collaboratively. They will work on the analysis of post event data, reports and providing insight. Candidates must be comfortable working within a fast-paced, and at times highly demanding environment. They must possess a keen sense of enthusiasm and attention to detail, as well as a sense of commitment and dedication to both teams. You’ll feel right at home if you: Have at least 1 year of relevant experience. Have exceptional attention to detail and data gathering skills Are great at finding patterns Are great at presenting findings Love digging through data in search of clues Strong desire to leverage the use of AI Are able to balance several time sensitive requests Have effective communication skills (oral and written) Are extremely organized Are willing to learn and adapt to a quickly-changing environment Have completed a Bachelor’s degree in a related field - economics, finance, commerce, Information Technology or computer science Have a good knowledge of Python for data manipulation and visualization Thrive in environments where multitasking is routine and can prioritize tasks effectively. Thrive in a fast-paced working environment Ability to work off hours when necessary What you’ll be working on: Analyzing non-financial post event data in order to gain insight and discover potential issues. Creating reports and visualizations to help bring forward relevant information to the stake holders. Collaborating with the development team to improve and/or create the necessary analysis tools. Creating issue tickets and following up with the appropriate teams. Participating in the research effort revolving around the trade strategies. Developing necessary scripts for data gathering and manipulation. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LD1]

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an Analytics Engineer at OnePay, you'll own the analytics foundation (dbt models, testing, and Databricks BI) so the business can move fast on trusted data. We build for humans and AI, so you’ll use AI tools (Claude Code, Cursor) daily to move faster and design models, metrics, and documentation that agents and analysts can both rely on.   WHAT YOU’LL DO - Design and build production dbt models on Databricks that the organization uses as the source of truth for what’s happening in the business - Support external reporting with accurate, governed data that stakeholders and partners can trust - Own data quality: testing, CI/CD, documentation, and patterns the team follows - Build and evolve Databricks dashboards and semantic metrics for self-service across the business - Partner with Data Engineering, Analytics Engineering, and analytics stakeholders to turn messy business problems into durable data products - Drive AI-native workflows: Cursor/Claude (or equivalent) in daily development; model and doc design that works for LLM consumers   YOU BRING - 3+ years in analytics engineering or equivalent: you’ve owned production models end-to-end, not just ad hoc analysis - Expert SQL and deep dbt experience (architecture, incremental models, tests, macros, CI/CD) - Strong Databricks BI (or equivalent semantic layer) delivery - AI-savvy in practice: you already use AI coding tools daily, validate outputs rigorously, and design data for both humans and agents - Proven ability to execute in ambiguity: startup pace, incomplete specs, bias toward shipping - Clear communicator across technical and non-technical audiences - Owner mentality: you see what’s broken, fix it, and raise the bar for others   TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly.     WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. The Data team works across Linear, supporting Product, Engineering, and GTM. We own our data pipelines, warehouse, dashboards, analysis, and integrations with third-party tools. As a small team, we focus on building systems that make data accessible and useful across Linear. We’re looking for someone who wants to help shape how we architect, build, and use data as we grow. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Work across Product and GTM (Marketing, Sales, Customer Success, and Finance) to turn ambiguous questions and operational needs into useful metrics, models, analyses, and workflows - Build and maintain dbt models and pipelines that create trusted views of our product, customers, and business - Design clear, maintainable data models and improve the testing, documentation, performance, and reliability of our data stack - Build dashboards and self-service reporting in Metabase and Hex, and dig deeper when the answer requires more than a chart - Operationalize data through reverse ETL and partner with GTM Engineering on the scoring, segmentation, automations, and internal tools that help our teams scale - Balance fast, pragmatic answers with durable solutions, recognizing when a one-off request should become a reusable model or workflow - Find ways to leverage emerging tools, LLMs, and coding agents to accelerate development, analysis, testing, and documentation while maintaining a high bar for correctness What we're looking for - 8+ years of experience in analytics engineering, data analytics, or data engineering, ideally at a fast-moving software company - Exceptional SQL and strong hands-on experience with dbt and a modern cloud data warehouse - Track record of owning data projects end-to-end, from shaping an ambiguous problem to shipping something people rely on - Strong data modeling judgment: you think clearly about grain, reusable components, interfaces, dependencies, and maintainability without relying on a single prescribed methodology - Analytical judgment: you know when to answer quickly, when to investigate deeply, and how to turn complex findings into a clear recommendation - Comfortable moving between technical implementation and business context, from debugging a data model to understanding product adoption or sales efficiency - High ownership mentality: self-directed, pragmatic, and willing to challenge a request or approach when something does not make sense - Strong communication skills and experience partnering directly with both technical and non-technical teams - Comfortable using LLMs and coding agents as part of your day-to-day development workflow Our tech This stack reflects the systems you’ll work in. You’re not expected to have experience with everything listed, but you should be comfortable learning quickly and working across the full lifecycle of data. - Data Warehouse: Snowflake, dbt Cloud - Dashboards / Analysis: Metabase, Hex - ETL / rETL: Hevo, Fivetran - GTM tools: Hubspot, Pocus, Clay What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $180,000—$220,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Mumbai, India We Are? We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects. For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle offshore and on land.We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves all designed to help our clients optimize performance, enhance reliability, and improve efficiency.With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way. The Role The Financial Systems Analyst is the primary Finance stakeholder responsible for all ERP related activities requiring Finance input, oversight, or decision making. This role acts as the Finance owner of ERP change, configuration support, reporting, controls, and integrations, while also providing business as usual (BAU) ERP support to Finance teams globally. Responsibilities Act as the single Finance point of accountability for all ERP related activities, changes, and projects. Represent Finance in ERP governance, design decisions, prioritisation, and UAT activities. Ensure Finance requirements are correctly translated into ERP configuration, controls, and reporting outcomes. Maintain clear ownership boundaries between Finance, IT, and external ERP support partners. Lead Finance workstreams for ERP-related initiatives including: New entity onboarding and ERP integration Reporting enhancements and retirements Controls, permissions, and workflow changes Data migrations (Finance led components) Own and execute Finance side ERP UAT, including reconciliations and validation across systems. Coordinate Finance input into new ERP functionality reviews, ensuring changes are understood, documented, and controlled. The Requirements Qualified Accountant or equivalent Finance systems experience Strong hands on experience with ERP systems (Navision / Dynamics preferred) Proven experience supporting Finance ERP operations and projects Strong understanding of Finance processes, controls, and reporting requirements Ability to operate comfortably across BAU support and project delivery Experience with Lucanet or similar consolidation tools Experience operating in an SSC or Global Finance model Exposure to ERP de risking, transition, or operating model change Diversity & Inclusion EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. You will have good organisational and time management skills with the ability to meet deadlines, along with effective communication skills.

Location: United States Workplace: Remote We are looking for a Senior Analyst, Strategy & Planning to serve as the operational counterpart to FP&A inside Revenue Operations. This role is accountable for headcount and expense management, comp plan execution, forecast roll-ups, and the analytical work that keeps the GTM organization on plan. Reporting to the Director of Strategy & Planning, you will partner directly with FP&A and across Revenue Operations. This is a high-visibility individual contributor role with broad exposure to the operating mechanics of the GTM organization. WHAT YOU'LL BE DOING - Program-manage the annual planning cycle across Sales and Finance: own the timeline, drive the deliverables, coordinate stakeholders, and synthesize the output into a single plan. - Own headcount and expense management for the GTM organization: track plan vs. actual, manage requisitions, partner with hiring managers and recruiting on capacity. - Run the comp plan modeling and execution cycle: scenario modeling, plan documentation, exception handling, and partnership with the comp administrator on payout accuracy. - Build and maintain forecast roll-ups across regions and segments. Partner with FP&A on variance analysis and corporate forecasting. - Support territory and quota deployment: produce the analytical work that underpins the annual plan and mid-year adjustments. - Maintain the Strategy & Planning analytical layer: dashboards, recurring reports, and the data quality work that makes the rest of the team's work possible. - Partner with FP&A on month-end close, commissions accruals, and revenue reporting. WHAT YOU BRING ALONG - 5+ years in revenue operations, sales finance, FP&A, strategic finance, or a similar analytical role. SaaS or consumption-based business model experience preferred. - Owner-operator mindset. You treat your scope as a system you own end-to-end: you build it, you run it, you fix it when it breaks, and you measure it by what it produces. - Comfortable program-managing a cross-functional process. You can hold a timeline, drive deliverables across Sales and Finance leadership, and synthesize across stakeholders without being told how. - Strong financial modeling skills. Driver-based modeling in Excel and Google Sheets, built independently. - SQL fluency required; Python a plus. Familiarity with ClickHouse, dbt, or a comparable modern analytics stack. Comfort working in code, not just spreadsheets. - Working knowledge of accounting principles: how revenue, commissions, and expense flow through the financial system. - Detail-oriented and comfortable with operational rigor. You see controllership as a discipline, not a chore. - Strong written and verbal communication. Able to translate analytical work into clear recommendations for senior stakeholders. - Familiarity with Salesforce, comp administration platforms (CaptivateIQ, Spiff, or similar), and BI tools. - Bachelor's degree in a quantitative field PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York, New York, United States About the Role iCapital is looking to hire an Analyst to join and support the Structured Investments team. This role will assist with the management, development, and maintenance of the structured investments eco-system on the platform for our clients. The iCapital Solutions team develops and manages the technology platform experience with many of iCapital’s largest clients, including investment banks, broker dealers, private banks, and RIAs throughout the United States. This individual will be responsible for supporting senior members of the team in developing and executing our company’s strategy and solutions in the structured investments market. Responsibilities Assist with supporting the development and execution of the company’s overarching strategy aimed at supporting the Structured Investments business line. Support the development of new and existing relationships with investment banks, third-party distributors, and distribution partners to advance the product category for the company. Maintain synchronization across various industry groups to deliver a robust platform solution addressing key stakeholders’ needs. Lead projects and provide strong analytical support to teammates. Compile, maintain, and analyze large data sets. Develop presentations with comprehensive data and analysis for internal meetings and projects. Work alongside the Client Solutions team to develop meaningful measurements of success. Work with internal technical partners to create a product offering that meets the needs of our clients. Drive process improvement by leveraging the use of technology. Qualifications Bachelor’s degree in a related field 1+ year(s) of relevant experience in trading, business development, or relationship management in the financial market industry or internship within a relevant field Strong analytical and problem-solving skills and a high level of attention to detail Strong written and verbal communication skills Able to successfully operate in a fast-paced environment Strategic mindset and able to work independently Demonstrated client service skills with stakeholders and clients Excellent organizational skills Desire to work in a cross-functional and collaborative environment Proficient in Excel and PowerPoint Series 7 and 63 certifications are preferred; or otherwise attained within 90 days of hire Benefits The base salary range for this role is $70,000 to $80,000.  This position is paid on an hourly basis and is classified as non-exempt. Employees in this role are eligible for overtime pay in accordance with applicable law. iCapital offers a compensation package that includes equity for all full-time employees and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer-matched retirement plan, generously subsidized healthcare with 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Задачи: — Служить стратегическим партнёром и советником для продуктовых менеджеров и бизнес-лидеров, предоставляя рекомендации на основе данных по оптимизации клиентского опыта. — Совместно с продуктовыми менеджерами, дизайнерами и инженерами разрабатывать и проводить эксперименты для поддержки продуктовых разработок. — Определять стратегию измерения состояния программ и операционной эффективности, включая разработку метрик, отчетности и мониторинга. — Проводить глубокий анализ ключевых метрик клиентского опыта для выявления трендов и возможностей, что будет основой для дальнейших исследований. — Разрабатывать и представлять аналитические отчёты и выводы старшим операционным руководителям, фокусируясь на проблемах и решениях. — Поддерживать создание и обслуживание основных отчетных абстракций (созданных в dbt), BI-отчетности и AI семантических слоёв. Требования: — Минимум 4 года опыта работы с комплексными наборами данных для поддержки принятия решений в организации. — Практический опыт проведения A/B тестов и проектирования экспериментов. — Отличные устные и письменные коммуникативные навыки, умение ясно и кратко излагать результаты анализа. — Способность самостоятельно переводить вопросы заинтересованных сторон в чёткие аналитические задачи. — Опыт создания данных абстракций с использованием DBT или Airflow и работы с инструментами визуализации данных (Mode, Looker, Periscope, Tableau). — Уверенное владение SQL, способность проверять код других аналитиков и дата-сайентистов. Желательно: — Магистерская степень в количественной области или опыт прикладной статистики. — Навыки программирования на Python или R. — Опыт использования AI инструментов для аналитики. — Опыт работы с данными инструментов клиентской поддержки (например, Zendesk). — Опыт прогнозирования рабочей силы. Условия: — Работа в гибридном формате: два дня в неделю в офисе в районе Побленоу, Барселона. — Зарплата в первом году от €47,124 до €57,120 в зависимости от опыта и квалификации. — Долгосрочный план стимулирования с выплатами на основе результатов компании. — Пенсионный план, частная медицинская страховка, 25 дней отпуска, компенсация питания и транспортных расходов, абонемент в спортзал, компенсация расходов на усыновление питомца, ежегодное возмещение расходов на здоровье €150. — Гибкий график работы с некоторыми обязательными временными рамками. — Дружелюбный к животным офис и регулярные командные мероприятия.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London About the Team The Cloudflare Data Intelligence & Analytics (DIA) team has built a unified data & ML platform to provide our internal Business Partners with actionable analytics, insights, and recommendations. Our goals are to: Democratize data & intelligence for humans and agents Build a context layer and an AI systems layer upon our unified data & content platform Support Cloudflare’s critical business needs DIA is a ~ 75-member strong geographically distributed but organizationally centralized team. This role is within the growth & adoption analytics pod based in London that works across several business functions, offering broad exposure to Cloudflare's entire business. Role Summary We are looking for an experienced Data Analyst in London to scale our growth & adoption analytics initiatives. You will be a trusted data advisor to our business partners, a technical coach to your peers, and the lead in terms of shaping AI-first data models, workflows, and agent-ready-datasets. Success in this role will rely on marrying a strong analytics background with product and business acumen to deliver highly strategic and compelling insights that accelerate growth and influence adoption. This role also requires a deep understanding of data infrastructure, job orchestration, and lineage, all with the use of AI-tooling as default. Role Responsibilities Own the development and maintenance of agent-ready curated datasets end-to-end Provide analytics support and a strategic perspective to our business partners Partner with data engineers, product managers, and stakeholders to enable data-driven answers to key business problems Review Merge Requests created by your team of humans and agents Take initiative to gather requirements, define, build, and maintain pipelines and metrics Tell easily digestible and highly actionable stories with data to help stakeholders understand analytical insights Role Requirements B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields Demonstrable proficiency with analytics-relevant AI-tooling 4+ years experience in a centralized data analytics teams in close partnership with business stakeholders Expert-level proficiency in writing and optimizing complex SQL queries is mandatory, with a proven ability to performance-tune complex queries and manage analysis workflows against large, petabyte-scale datasets (Candidates will be assessed on advanced SQL skills including window functions and common table expressions (CTEs)) 3+ years experience working in version control environments using platforms such as Gitlab or Github 2+ years experience working with job orchestration tools like Apache Airflow, both as a pipeline developer and reviewer 2+ years experience with data ingestion and transformation frameworks (e.g., dbt, Fivetran, or custom/in-house developed platforms) Initiative, curiosity, strong stakeholder engagement, and empathy Experience translating business questions into analysis frameworks, converting results into business recommendations, and presenting those to stakeholders Nice-to-Have Experience Experience and/or a keen interest in internet security, protocols, and edge-development Analytics experience in a fast-growing technology, SaaS, or subscription-based business Experience with statistical analysis programming languages (Python, R etc.) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Data Analyst (LTV / Predictive Analytics) StellarTech is a B2C mobile publisher in EdTech: subscription apps, in-app monetization and performance marketing at scale. LTV prediction is how we decide where to invest, and the forecasting pipeline is already live. We are opening this role to have one senior analyst own its accuracy and its evolution. This is research and predictive analytics, not reporting: everything that can be standardised is already automated by Data Engineering, so the work is hypotheses, factor analysis and improvements to the prediction algorithm itself. You report to the Head of the Operational Department and work directly with Product, UA, Finance and Data Engineering. What you will do Own and develop the LTV prediction algorithm: find the parameters and factors that increase forecast accuracy, prototype improvements in SQL, measure the gain, then hand the logic over to Data Engineering. Validate forecasts on closed cohorts, monitor forecast quality over time and explain where exactly a model deviates from actual LTV. Research what moves LTV: product features, segments, purchase sources (for example, purchases coming through CRM vs other sources), and adapt the prediction logic to them. Run analytical research end to end, from a vague question to a documented recommendation for Product, UA and Finance: where payback improves, where to concentrate media buying, what changes unit economics at company level. Automate analytical routines and model quality monitoring together with Data Engineering. Requirements Critical 4+ years in Data Analyst / Senior Data Analyst / Product Analyst roles with a product analytics focus: measuring the impact of factors on business metrics, not marketing attribution. Strong SQL: complex queries, window functions, optimisation. Here SQL is the main instrument for prototyping and testing the algorithm. Solid mathematical statistics and understanding of how ML models work: you can build and validate a forecast, judge model quality (MAE, RMSE, MAPE, R2), run factor analysis and explain where a model broke. Product background with in-app monetization and its economics: LTV, cohorts, retention, ROI, CAC, ARPU, payback. Subscriptions are ideal; other in-app B2C models also work. Ad-only monetization is a different pattern and is not a fit. A proven end-to-end pattern: you take a vague question, form a hypothesis, dig into it and bring it to a recommendation. There is no micromanagement here and almost no standard tasks. Ability to back conclusions with data and to communicate them to both technical and business stakeholders. Non-critical Python (pandas, numpy, scikit-learn) for analysis and modelling: welcome, but not a blocker if the statistical and analytical thinking is there. A/B testing and statistical hypothesis testing. BI tools (Tableau, Looker, Power BI). Cloud DWH and large data volumes (Athena, BigQuery, Snowflake, Redshift or similar). Will be a plus Feature engineering and model interpretation (SHAP, feature importance). Mobile products, gaming or subscription businesses. Our stack: Amazon Athena, S3-based DWH, CatBoost, Tableau, Git, Jupyter. Why You'll Love Working With Us Impactful Work: Your contributions will directly shape the future of our company. Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. AI solutions Wealth: We offer a competitive salary. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Hiring process Intro call with the recruiter. Technical interview: SQL, statistics and ML fundamentals, plus an analytical case on how you build a plan to investigate a problem. Final interview with the department head. Optionally, a 30-minute culture fit conversation with HRBP. If this is the kind of work you want to own, send us your CV. We will come back to you with the next step.

Location: United Kingdom What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote UK Compensation Range: £62,000 to £70,500 base plus bonus and equity What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyber-attacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts from the Huntress platform Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide remediations needed to remove the threat Perform tactical malware analysis as part of investigating and triaging alerts Investigate suspicious Microsoft M365 activity and provide remediations Assist in escalations from the Product Support team for threat-related and SOC-relevant questions Contribute to detection engineering creation and tuning efforts Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!) What You Bring To The Team: 2+ years experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set-up allowance (€480) Generous personal leave entitlements Digital monthly reimbursement (€111) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Ireland What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Manager, Security Operations Center Location: Remote Ireland Compensation Range: €70,000 to €90,000 base plus bonus and equity What You’ll Do: Huntress is looking for a Security Operations Center Analyst to add to our growing team. In this role, you will get to triage, investigate, respond, and remediate a variety of intrusions on a daily basis. You’ll be surrounded by passionate individuals who are mission-driven to help protect companies around the world from cyber-attacks and will have daily opportunities to progress your analyst skillset and accelerate your career growth. The Huntress Security Operations Center is an elite team of individuals who wake up every day to combat threat actors. You will have daily opportunities to progress your analysis skills while being at the forefront of what’s happening in the wild. If you’re looking to accelerate your career and skills, this is the team for you! Responsibilities: Triage, investigate, and respond to alerts from the Huntress platform Perform tactical review of EDR telemetry, log sources, and forensic artifacts to determine the root cause of attacks where possible and provide remediations needed to remove the threat Perform tactical malware analysis as part of investigating and triaging alerts Investigate suspicious Microsoft M365 activity and provide remediations Assist in escalations from the Product Support team for threat-related and SOC-relevant questions Contribute to detection engineering creation and tuning efforts Contribute to projects focused on driving better outcomes for our analysts and partners Contribute to our collaboratively mentored team (we're all here to make each other better!) What You Bring To The Team: 2+ years experience in a SOC or Digital Forensics (DFIR) role Demonstrated experience with Windows, Linux, and MacOS as an attack surface Demonstrated experience with basic Threat Actor tools and techniques: (MITRE ATT&CK Framework, PowerShell & Command Prompt Terminals, WMIC, Scheduled Tasks, SCM, Windows Domain and host Enumeration Techniques, Basic Lateral Movement Techniques, Basic Persistence Mechanisms, Basic Defense Evasion Techniques, other offensive/Red Team TTPs) Demonstrated experience with static and dynamic malware analysis concepts Working knowledge of Windows Administration or Enterprise Domain Administration Active Directory, Group Policy, Domain Trusts, etc. Working knowledge of core networking concepts Common ports/protocols, NAT, Public/Private IPs, VLANs, etc. Working knowledge of web technologies and concepts Web servers/applications, OWASP top 10, etc. Effective communication skills, with the ability to explain complex events to less technical audiences, enabling effective cross-functional collaboration within the SOC and across departments Dedicated to prioritizing and addressing customer needs and concerns in all decision-making processes A strong sense of curiosity and a genuine excitement for learning Preferred Qualifications: Previous experience in an MSP/MSSP/MDR role Linux and MacOS investigative experience Experience with scripting languages (such as PowerShell, Python, Bash, PHP, JavaScript, or Ruby) Demonstrated experience on platforms such as HackTheBox, TryHackMe, Blue Team Labs Online, etc. Demonstrated experience with Cloud-based investigations such as M365, Azure, AWS, GCP, etc. Participation in cybersecurity competitions such as Capture the Flags, the Collegiate Cyber Defense Competition, etc. Familiarity with MSP tools such as RMMs What We Offer: 100% remote work environment - since our founding in 2015 New starter home office set up reimbursement (£398) Generous personal leave entitlements Digital monthly reimbursement (£92) Travel to the US 1-2 times/year for various company events Pension Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: London Our formula for success is to hire exceptional people, encourage their ideas and reward their results. As a Quantitative Trading Analyst, you will have an opportunity to combine the disciplines of risk management, research and technology to create optimal trading and investment strategies within the regulatory framework. You will work closely with experienced traders, software engineers and quantitative researchers. You will gain exposure to multiple asset classes through hands on trading experience and data analysis. Individual discovery and collaboration with fellow team members are encouraged to develop your understanding of market behavior. How you will make an impact… Investigate the potential application of existing strategies to new products Quantitatively analyze trade data and perform post-trade analysis of strategies Assist in the development of analytical tools Communicate relevant news, market events, and system behavior to team members in a clear and concise manner Be willing to challenge consensus on existing methodologies and trading strategies to contribute to the advancement of the team What you bring to the team… A bachelor’s, master’s, or PhD in mathematics, statistics, physics, engineering, computer science or related field graduating between December 2026 and June 2027 Advanced quantitative, analytical and problem solving skills and the ability to deploy those skills during time-sensitive situations A deep curiosity of analysing large data sets using your knowledge of probability and statistics Familiarity programming in Python, C++, C or similar languages Are adaptive, self-motivated, enjoy challenges and significant responsibility, and thrive in fast-paced, competitive environments Can advocate for your perspectives on trading strategies and risk in a concise manner to the team The ability to communicate effectively and work well in teams DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.  We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.  DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice .

Location: Poland Workplace: remote Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows, achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee well-being and a strong workplace culture. Who We're Looking For We are seeking an innovative Business Analyst to join our No-Code Development Team. Our mission is to address real-world challenges and drive transformative impact through no-code technology. In this role, you'll leverage the Creatio platform, which allows you to cover most CRM functionalities with no-code development. You will utilize these tools to create applications and conduct research to determine what is actually needed to solve real-world problems effectively. Key Responsibilities UI Creation with No-Code Tools: Create application UIs using no-code designer tools, including a drag-and-drop interface for composing UI for pages and sections, simplifying and accelerating the development process. Server Logic Automation: Develop server logic automation using no-code business process tools, similar to a diagram constructor, to implement complex logic for applications, tailored to BPMN notation, leveraging no-code capabilities to streamline automation. Web Services Integration: Create web services for system integration using no-code tools, including designing RESTful APIs and SOAP interfaces to enable seamless data exchange, ensuring adherence to security protocols, and providing documentation for developers and third-party systems. Webhook Services Configuration: Create and configure webhook services using no-code tools to receive requests from external services, ensuring proper authentication, data handling, and logging mechanisms for secure and reliable communication. Database Design: Design database structures using Creatio Objects designer, involving defining tables, relationships, and data fields to ensure scalability, performance, and data integrity. User Story Decomposition: Decompose user stories into executable tasks for no-code creation. Market Research: Conduct market research to generate insights on competitors, industry trends, and analytical reports (e.g., Gartner, Forrester) to identify opportunities for product improvement. Customer Feedback Gathering: Conduct interviews with end users or solution consultants to gather customer feedback and key product requirements. Collaboration with QA: Collaborate closely with Quality Assurance Engineers to ensure both manual and automated testing of created solutions, guaranteeing high-quality, robust, and reliable outcomes. Version Control: Utilize Git/SVN for version control, ensuring seamless collaboration, code integrity, and efficient management of application changes. Requirements Proven experience in conducting business analysis and research tasks, including market research, competitor analysis, and gathering business requirements to shape product features. Knowledge of database management, including key principles of T-SQL, data queuing, designing relationships, view models, indexes, and understanding the fundamentals of complex selection queries such as joins and sub-selects. Solid understanding of BPMN notation principles, with the ability to model business processes accurately and efficiently. Proven experience working within software development teams or as a business analyst for IT projects, demonstrating effective collaboration skills. Hands-on experience in configuring information systems through UI-based tools, ensuring optimal user experiences. Strong general understanding of technology concepts, data structures, and integration methods to ensure seamless implementation of no-code solutions. A fast learner, capable of quickly adapting to new UI tools and technologies, with an eagerness to continuously expand your skill set. Proficiency in English, with the ability to conduct interviews and collaborate effectively with international stakeholders. Will Be a Plus Demonstrated proficiency with one or more of the following platforms and tools: CRM, BPM, or No-Code Platform/System experience. Coding skills, with the ability to understand and communicate technical concepts effectively. Proficiency with Figma or similar software for UI prototyping, creating clear and effective user interfaces that enhance the user experience. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.