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Location: Mexico City, Mexico; Santiago, Chile; Panama; São Paulo, Brazil; Montevideo, Uruguay; Bogota, Colombia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Business Analyst (Pre-Sales & Delivery) to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. We are seeking a highly experienced and skilled Business Analyst to lead our pre-sales efforts and play a crucial role in project delivery. This role focuses on managing the pre-sales cycle, including requirements analysis, solution design, proposal development, client negotiations, and successful deal closure. Post-sale, the Business Analyst will act as the Single Point of Contact (SPOC) between the client and project team, ensuring smooth execution, client training, and project success. The ideal candidate will have at least 7 years of experience as a Developer Lead, Business Analyst, Project Coordinator, or Project Manager , with at least 3 years in the U.S. market . A strong understanding of the Software Development Lifecycle (SDLC) , especially in custom application development on cloud platforms , is essential. Expertise in AI, ML, and Blockchain technologies is highly valued. Strong leadership in pre-sales and project delivery, coupled with an agile mindset and excellent communication skills, is key to success in this role. Key Responsibilities: Pre-Sales Activities: Requirements Analysis: Engage with clients to understand business needs, technical challenges, and strategic objectives. Documentation: Develop Business Requirements Specifications (BRS), System Requirements Specifications (SRS), UML diagrams, and solution architecture documents. Solution Design: Collaborate with sales and technical teams to craft tailored solutions using cloud technologies, AI, ML, and Blockchain. Solution Presentation & Demonstration: Lead presentations and demonstrations of proposed solutions, showcasing business and technical value. Proposal Development: Create detailed proposals outlining scope, timelines, deliverables, and pricing. Client Negotiations: Oversee negotiations regarding project scope, pricing, timelines, and deliverables. Sales Target Achievement: Partner with the sales team to meet and exceed pre-sales targets. Post-Sale Activities: Project Handover: Act as SPOC between the client and project team for seamless transition and alignment on deliverables. Project Planning & Documentation: Work with project managers to develop plans, assist in SRS creation, and review project-related documentation. Upselling & Cross-Selling: Identify opportunities for additional services during project execution. Objection Handling: Address client concerns promptly to ensure satisfaction. Phase & Milestone Delivery: Monitor project progress, ensuring timely and successful completion. Client Training: Conduct training sessions to ensure effective solution adoption. Experience: Minimum 7 years in a Developer Lead, Business Analyst, Project Coordinator, or Project Manager role, with 3+ years in the U.S. market . Technical Expertise: Hands-on experience in custom application development, particularly on AWS and Google Cloud . Proficiency in technologies such as Node.js, Python, React.js, Next.js, React Native, Flutter, MySQL, PostgreSQL, MariaDB, DynamoDB, Serverless Architecture, and Microservices . Government Regulations Knowledge: Strong understanding of U.S. Government and State regulations in areas like financial compliance, AML, KYC, digital identity verification, investor verification, payment processing (ACH, Credit Card), cryptocurrency regulations, taxation laws, healthcare, fintech, and privacy laws . SDLC Knowledge: Expertise in Agile methodologies and project management principles. Documentation Skills: Ability to create and manage BRS, SRS, UML diagrams, and solution architecture documentation. Pre-Sales Leadership: Proven success in leading pre-sales efforts and closing deals. Communication & Relationship Building: Strong verbal and written communication skills. Project Management Skills: Experience in Agile environments, ensuring successful project delivery. Preferred: PMP certification or similar project management credentials.

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Senior Analytics Engineer to join our Playgami team in Barcelona on a hybrid basis ! At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. What You’ll Do Lead and collaborate with engineers, product teams, and analysts to develop self-serve insight products that are responsive, precise, and scalable at petabyte levels Oversee the entire data product lifecycle, including designing new tracking plans, developing data models, ELT pipelines, and self-serve insight products like Looker explores and dashboards Act as a guardian of data quality, ensuring consistent metric reporting across a wide range of data products Utilize cutting-edge technology stack including BigQuery, dbt and Looker Provide technical leadership and empathize with game product teams and departments to enhance their daily operations and product success Bring expertise in a specific part of the data stack and lifecycle while contributing broadly across all aspects Mentor team members and drive the adoption of best practices within the team What We’re Looking For A strong passion for solving complex analytical puzzles Proven ability to translate business needs into advanced analytics solutions Deep expertise with the modern data stack (BigQuery, Snowflake, dbt, Looker, Airflow, GitHub, command line-based workflows) Exceptional SQL skills coupled with at least 5 years of relevant experience in data analytics or engineering roles Solid understanding of data modeling principles (e.g., Kimball methodology, star schemas) A high valuation of business context and the drive to achieve technical excellence An inclination towards collaboration and pride in contributing to high-functioning teams Enjoyment in working within fast-paced, growth-oriented environments A sense of fun at work, with extracurricular interests like Ping Pong or Mario Kart seen as a bonus! At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Warsaw Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. The Data Science team at Asana is instrumental in enabling Asana's mission by instilling a data-influenced approach in building the product or business strategy, defining and measuring success metrics, learning and iterating to deliver value to our users. Data Scientists closely partner with Product, Business, Design, Engineering, and also other members of the Data team. We leverage experimentation, statistical modeling and machine learning techniques, causal inference, and data storytelling to deepen our understanding of Asana customers and make optimal decisions to drive more business value. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. Our employees in Poland are employed under a contract of employment. What you’ll achieve Design and analyze experiments and causal analysis to ship impactful product changes that help customers quickly find what they need on Asana, specifically for our Mobile team. Proactively take on Analyses and develop compelling narratives that inform product strategy and influence business & roadmap decisions. Defining and adding new metrics to track success of our enterprise products and aggregate and publish them to our data warehouse to help answer all types of questions proactively. Building dashboards to highlight impact potential and other areas of opportunities. Communicating effectively and presenting to both technical and non-technical audiences. Establishing the Data Science presence in a new office and providing mentorship as the office grows. About you Bachelor Degree in Math, Statistics, Economics, Computer Science, Engineering a related quantitative field, or equivalent experience 7+ years of experience in applying data science techniques to drive technical product development and decision-making Strong technical background in statistics, math, computer science, information science, or another quantitative field Fluency in at least one data processing and programming language (e.g. Python, R), relational data modeling and SQL , familiarity with distributed data processing systems (e.g. Spark, Redshift) Expertise in statistical methods and experimental design and analysis Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning Excellent written and verbal communication skills Ability to collaborate effectively with peers and leaders across data science, design, and engineering organizations Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Generous, transparent and fair compensation system Contract of Employment ( and the option of 50% tax deductible costs for author’s rights usage in respect of  applicable roles ) Health insurance with dental and travel coverage (Lux Med) Lunch catering on the days that you work from the office Career growth budget Home office setup budget Gym/Fitness reimbursement Fertility healthcare and family-forming support with Carrot Mental health support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 24,960 PLN - 31,937 PLN gross per month (subject to all taxes and necessary deductions) . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and  sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You’ll partner with product teams to help them identify important questions and answer those questions with data You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You’ll build and automate actionable models and dashboards You’ll craft data stories and share your findings and recommendations across R&D and the broader company You’ll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and experience of  applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and communication #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. Canonical is hiring exceptional Revenue Operations analysts who will support a team of experts growing and managing our global direct, alliance, channel partner and online sales. The Revenue Operations teams drive continuous policy, process and data quality improvement which enable us to analyze and drive interventions to maximize net customer retention, and lead robust, repeatable processes to plan, manage and deliver revenue. You will support the leadership of the team, providing insights to drive improvements and partnering with Canonical’s teams across sales, business development, customer success, marketing, product management, commercial systems, delivery, finance and legal. This position requires an analytical approach, a keen eye for detail and the desire to strive for excellence.  People that thrive in these roles are proactive problem solvers who are passionate about collaborating with sales and business development teams, our role in the technology industry bringing open source to a wider audience of innovators and enterprises, and contributing to initiatives in support of Canonical's continued success.  Successful candidates will demonstrate initiative in improving the way the team works, maintaining compliance and associated governance. Location: These roles will be based remotely in the EMEA and Americas regions The role entails Supporting all aspects of the day-to-day operations of the sales and business development functions globally Driving data quality, through checking opportunities for accuracy, clean order processing, new hire training, policy and process documentation, reporting and data cleansing Supporting and enabling the sales team globally on CRM and other revenue operations policies, processes and systems such as Sales Engagement, Training/Enablement, Data Enrichment, Configure Price Quote, Analytics and Commissions Supporting other Revenue Operations Analysts and leadership team to report on and improve data quality, sales metrics, dashboards and other ad-hoc analytical tasks. Supporting planning, monitoring and improving revenue operations, across new leads, pipeline, velocity, sales productivity and renewals.  Delivering insight that enables improved territory and quota management, channel development and sales productivity. Assisting the team with automation and streamlining of the end-to-end Lead to Order process What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in a related field, preferably in Science, Technology, Engineering, Mathematics or Economics, or a compelling narrative about your alternative path Drive and a track record of going above-and-beyond expectations Experience working as an analyst in revenue/sales operations or related fields such as financial analysis, sales analysis or sales order processing Energetic, thoughtful, systematic approach, focused on robust, repeatable and scalable outcomes Excellent attention to detail and data-driven, analytical and problem-solving skills Planning and organisational skills, including the ability to interact and work with stakeholders across functions and at all levels of the organisation Strong communication, interpersonal, negotiation and influencing skills, including comfort working with teams under commercial pressure Professional written and spoken English with excellent presentation skills Ability to travel internationally up to four times a year for company events Nice-to-have skills Experience gained within a similar, technology subscription-based business Understanding of working in a global, multicultural organization including within a team based remotely in multiple time zones What Canonical offers We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Paphos, Cyprus INEX is a real estate development group delivering residential and commercial projects across Cyprus. We manage the full project lifecycle — from land acquisition to construction and delivery. We are in Paphos. 100% office. About the Role We are looking for a Cost Manager / Financial Analyst to support cost control and financial performance across our construction projects. This is a hands-on role focused on budgets, reporting, and working closely with project teams on active sites. Key Responsibilities • Project Costs & Budgeting control in construction • Analysing variances on forecasted profits and expenses • Allocating costs to categories • Gather data, validate and incorporate it into the project cost report • Provide records to any change in scope/contract of work to be performed • Prepare Cash out Flow and other Financial Projections • Document construction progress, identify, track and assist in resolution of construction issues/conflicts • Coordinate with Project Managers for cost report/control and ensure required information is properly coded and posted for Project Controls. • Working with the accounting department to ensure alignment/balance with financial statements and other financial/schedule reports. • Verifying contractors, subcontractors and suppliers invoices • Process and Control the Payment Schedule – Payment Approval Process • Communicating with stakeholders Requirements and Qualifications: Degree in Finance, Economics, Engineering, QS, or related field 2+ years of experience in cost control / finance / analytics Strong Excel skills Good attention to detail and analytical mindset Ability to manage multiple priorities Russian — required English — B2+ Experience in construction is a plus What We Offer Long-term employment with a BCS-certified company Interesting tasks and diverse development projects Modern office in Paphos with snacks and great coffee Modern international team Opportunities for professional growth Interested candidates are requested to send their CV quoting the above job title to the following email address: hr_cyprus@inex-group.com . All applications will be treated in strict confidence and in compliance with GDPR and our privacy policy.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services. We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances. Location: This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion. What your day will look like Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer Design, build and maintain solutions that will be deployed on public and private clouds and local workstations Master distributed systems concepts such as observability, identity, tracing Work with both Kubernetes and machine-oriented open source applications Collaborate proactively with a distributed team of engineers, designers and product managers Debug issues and interact in public with upstream and Ubuntu communities Generate and discuss ideas, and collaborate on finding good solutions What we are looking for in you Professional or academic software delivery using Python Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Track record of going above-and-beyond expectations to achieve outstanding results Passion for technology evidenced by personal projects and initiatives The work ethic and confidence to shine alongside motivated colleagues Professional written and spoken English with excellent presentation skills Experience with Linux (Debian or Ubuntu preferred) Excellent interpersonal skills, curiosity, flexibility, and accountability Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation Thoughtfulness and self-motivation Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long Additional skills that would be nice to have The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them. Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud. Hands-on experience with machine learning libraries, or tools. Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Working knowledge of cloud computing Passionate about software quality and testing Experience working on an open source project What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Remote (US) Why you should join our At-Bay Managed Detection and Response Security team: At-Bay is a fast-growth InsurSec company (Insurance x Cybersecurity) on a mission to bring innovative products to the market that help protect small businesses from digital risks. As an InsurSec provider, we uniquely combine insurance with mission-critical security technologies, threat intelligence, and human expertise, to bridge the critical security capability gap that exists among SMBs in the community. We believe InsurSec is an $80B market opportunity and we are excited to introduce the Security Analyst (MDR) role to the security team in order to help expand our reach and influence in the business and security community, of which we serve 35,000 customers. With At-Bay, our customers experience 5X fewer ransomware attacks. This is just the tip of the iceberg! Click here to learn more about what we're building. Security Analysts provide first-line security monitoring services to At-Bay’s Managed Detection & Response customers with specific responsibilities including: Operation and tuning of security monitoring tools including Endpoint Detection & Response (EDR), network monitoring, email security, Data Loss Prevention (DLP), Security Information and Event Management (SIEM), security automation tools, and others as needed Identification and analysis of anomalous activity in customer technology environments Triage of event data to identity potential indicators of compromise Escalation of potentially malicious activity to engage incident responders where necessary Participation in incident investigation, containment, remediation, and recovery activities where necessary Developing and maintaining customer relationships to facilitate delivery of MDR services Developing and delivering reports on identified activity to customer stakeholders as needed Key skills: Previous EDR, MDR, XDR, security monitoring, or incident response experience Strong oral and written communications skills Previous hands-on experience performing security operations including several of the following: Security monitoring using a variety of endpoint and network tools Deployment, tuning, and operation of security tools from vendors such as CrowdStrike, SentinelOne, and others Deployment, tuning, and operation of SIEM or other tools used to aggregate and analyze security-relevant data Triage and analysis of potential indicators of compromise Performing rapid response to contain and/or remediate potentially malicious activity Development and analysis of cyber threat intelligence Participation in investigations involving digital evidence Intrusion detection / cyber threat hunting Malware analysis Previous hands-on experience working in information technology operations (e.g., Network Operations Center, Security Operations Center, Incident Response Team, etc.) Minimum r equirements: Bachelor’s degree or equivalent Minimum of 2 years of experience in cybersecurity operations, incident response, or another security discipline Willingness to travel as needed to perform job functions Preferred requirements: Significant undergraduate or graduate coursework in computer science, computer engineering, information systems, or cybersecurity Preferred candidates will have a mix of cybersecurity experience including either security operations or security engineering / architecture Knowledge of cloud environments including knowledge of cloud security products and services offered by major cloud service providers (e.g., AWS, Azure, Google) One or more industry cybersecurity certifications (e.g., GCIH, Security+, CISSP, etc.) Work location: USA, nationwide #LI-CK1

Location: Buenos Aires, Argentina Uptalent.io, a global platform that connects top-tier talent from Latin America with the most exciting companies in the world, is seeking talented and experienced Social Media Managers to join our Network. As a Social Media Manager, you will play a critical role in promoting our clients´ brands and engaging with their audience in creative and innovative ways. Responsibilities Develop and implement social media strategies to increase brand awareness and engagement. Manage and oversee all social media platforms including Facebook, Twitter, LinkedIn, and Instagram. Create and publish engaging content across social media channels that align with our client's brand voice and target audience. Foster relationships with key influencers and industry partners to expand our reach and enhance their brand presence. Monitor social media trends, competitive analysis, and best practices to stay at the forefront of industry developments. Analyze social media metrics and generate reports to measure the effectiveness of campaigns and make data-driven recommendations. Collaborate with the Marketing team to align social media efforts with overall marketing objectives and campaigns. Requirements Proven experience as a Social Media Manager or similar role. In-depth knowledge of social media platforms, trends, and best practices. Excellent verbal and written communication skills in English. Creative thinking and ability to produce engaging and shareable content. Strong analytical skills and proficiency in social media analytics tools. Ability to multitask and manage multiple social media platforms simultaneously. Demonstrated ability to work independently and as part of a team in a fast-paced, deadline-driven environment. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Competitive compensation.

Location: Home based - Worldwide The role of an Engineering Manager at Canonical As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked. You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution. You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals. We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast. Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team. Location: This is a Globally remote role. What your day will look like Manage a distributed team of engineers and its MLOps/Analytics portfolio Organize and lead the team’s processes in order to help it achieve its objectives Conduct one-on-one meetings with team members Identify and measure team health indicators Interact with a vibrant community Review code produced by other engineers Attend conferences to represent Canonical and its MLOps solutions Mentor and grow your direct reports, helping them achieve their professional goals Work from home with global travel for 2 to 4 weeks per year for internal and external events What we are looking for in you A proven track record of professional experience of software delivery Professional python development experience, preferably with a track record in open source A proven understanding of the machine learning space, its challenges and opportunities to improve Experience designing and implementing MLOps solutions An exceptional academic track record from both high school and preferably university Willingness to travel up to 4 times a year for internal events Additional skills that you might also bring The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them. Hands-on experience with machine learning libraries, or tools. Proven track record of building highly automated machine learning solutions for the cloud. Experience with building machine learning models Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Experience in the Linux and open-source software world Working knowledge of cloud computing Passionate about software quality and testing Experience working on a distributed team on an open source project -- even if that is community open source contributions. Demonstrated track record of Open Source contributions What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: London, England, United Kingdom; New York, New York, United States; Norwalk, Connecticut, United States; West Palm Beach, Florida, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Quantitative Research Analyst to join our Quantitative Strategies team, and report into a Quantitative Research Manager. The individual will research and develop ways to improve GCM’s current trading systems while creating new systematic trading signals to complement and diversify the firm’s main strategies. The individual will maximize performance and competitiveness by utilizing advanced methods in quantitative analysis, risk management and portfolio optimization. Responsibilities Research and develop methods to make existing trading signals more efficient, profitable and robust Research and develop new signals that complement and diversify production strategies in terms of style, source of alpha and markets traded Research and develop portfolio construction and optimization methods to maximize performance while controlling risk, drawdowns and trading cost Enhance the scalability and flexibility of portfolios to accommodate bespoke investment needs of clients Follow robust research and development procedures to reduce differences between simulated and actual performance Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of research as well as production versions of trading systems Interact with other departments – technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately Regularly present findings and ideas to management and investment committee Complete other projects as requested by senior management Requirements PhD or MS in a quantitative field 2+ years related experience in systematic trading on the buy side, primarily targeting futures and FX, but also open to sovereign credit, options, and OTC markets. Knowledge in short-term/intraday systematic trading strategies is desired Advanced programming experience in languages suited for quantitative research and strategy implementation Ability to synthesize complex topics into easily digestible written commentary Strong communication skills – both written and verbal This role requires commuting into one of our offices Mondays through Fridays. We have offices in Rowayton, CT, New York, NY, West Palm Beach, FL, and London, UK. Please note that our central Quantitative Research team sits out of Rowayton, CT. Base Salary Range The anticipated base salary range for this position is $200,000 to $275,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. Canonical is hiring exceptional Sales Operations leaders and experienced analysts to grow and manage our global direct, alliance, channel partner and online sales. Our Sales Operations teams analyze and drive interventions to maximize net customer retention, and lead robust, repeatable processes to plan, manage and deliver revenue. You will partner with Canonical’s executive team across sales, business development, customer success, marketing, product management, commercial systems, delivery, finance and legal and provide a focal point to drive improvements. This position requires leadership, initiative and an analytical approach, a keen eye for detail and the ability to drive continuous improvements in processes, systems, governance and data quality.  People that thrive in these roles are proactive problem solvers who are passionate about the opportunity to partner with sales leadership, our role in the technology industry bringing open source to a wider audience of innovators and enterprises, and the opportunity to design and drive programs in support of Canonical's continued success. Location: These roles will be based remotely in the EMEA, Americas regions. The role entails Delivering precise, scalable revenue operations for business through direct, indirect or online channels Leading and developing a team of revenue operations analysts in developing policies, driving processes and providing daily operational support and enablement to sales teams and partners Driving Sales Engagement, Training/Enablement/Data Enrichment, Customer Relationship Management, Configure Price Quote, Analytics and Commissions Instrumenting, measuring and improving policies and processes across teams covering the entire revenue operations spectrum Delivering metrics and reporting to monitor and improve revenue operations effectiveness, including new leads, pipeline, velocity, sales productivity and renewals. Using data to drive insight, manage territories and channels, improve productivity, and agree and implement actionable change with executive management through regular sales and business reviews. Overseeing our sales technology and processes, driving automation and process improvements and partnering with our commercial systems engineering team to continuously improve business systems and integration Leading the introduction of new products, pricing, packaging and bundling through systems that are easy for sales and partners to navigate and quote Driving data quality, through order processing, new hire training, process documentation, reporting and data cleansing Leading and enhancing our commercial review process for evaluating and steering sales and alliance opportunities Owning the commission plan and leading the process for setting goals, evaluating and paying against that plan What we are looking for in you Experience operating in a leadership Revenue Operations role, driving effectiveness of direct, channel and alliance partnerships Data-driven and analytical approach with a high attention to detail Track record of providing insight through robust CRM and other Revenue Operations technology platforms, data, analytics, compensation systems and processes to deliver excellent revenue operations An energetic, thoughtful, systematic approach, a problem solver with skill in measuring, identifying and delivering systems and processes that ensure repeatable, scalable outcomes Comfort with commercial pressure, and the ability to put revenue teams under appropriate performance pressure Organisational skills and the ability to interact and work with stakeholders within all levels of the organisation Exceptional academic track record from both high school and university Undergraduate degree in a related field, preferably in Science, Technology, Engineering, Mathematics or Economics, or a compelling narrative about your alternative path Strong communication, interpersonal, negotiation and influencing skills Professional written and spoken English with excellent presentation skills Ability to travel internationally up to four times a year for company events up to two weeks long Nice-to-have skills Experience gained within a similar, technology subscription-based business Deep understanding of working in a global, multicultural organization including driving a team based remotely in multiple time zones Experience in mentoring and coaching team members on technical and soft skills, directly contributing to their professional development and performance improvement. What Canonical offers We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home Based - Americas The role of a Financial Analyst at Canonical As a Financial Analyst, you'll be a core member of the FP&A Team and wider finance team. You will play a key part in our monthly business reviews, quarterly forecasting, annual planning, financial modeling, and continuously drive cross-functional business alignment. Our ideal candidate is a highly analytical independent thinker, who has a desire to learn how to leverage business judgment, driven by data, to advise on critical financial, commercial and strategic decisions. Location: This is a remote role in Americas time zones. Key Responsibilities Generate insights into business operations by analyzing unit economics, drivers of variance, and other KPIs Support quarterly and annual financial planning, forecasting, reporting, and monthly budget reviews Provide analysis of commercial initiatives that have a strategic or financial impact on the business Create objective analyses and processes for a fast-growing tech company to scale efficiently and make data-driven decisions Support multi-functional change projects designed to enhance systems, processes, and data accuracy Partner with and communicate business progress to key stakeholders against financial and strategic targets Valued skills and experience An exceptional academic track record from both high school and university Drive and a track record of going above-and-beyond expectations Strong problem-solving and analytical abilities Excellent presentation and communication skills Curiosity and willingness to work on a wide range of projects Proficiency in spreadsheets and financial modeling Understanding of core accounting principles Professional written and spoken English Excellent interpersonal skills, curiosity, flexibility, and accountability Passion, thoughtfulness, and self-motivation Excellent communication and presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel twice a year, for company events up to two weeks long Previous experience in an analytically focused finance or business role Additional skills that you might also bring Bachelor's degree in finance, business, or related field Experience with Business Intelligence reporting, CRM and ERP systems Experience with Budgeting and Planning Software, or Data Visualization tools What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

От аналитики данных до управления рисками и бизнес-трансформации — пять карьерных возможностей в одной из ключевых компаний финансового рынка России. SQL, Python, BI, скоринговые модели и аналитические продукты.

Location: Москва Workplace: В офисе О компании Рекомендуй друга на будущие вакансии в МТС Финтех, мы вернемся к его резюме, когда появится соответствующая позиция. Просто заполни небольшую форму и прикрепи резюме. Обязанности Мы рады рекомендациям на позиции: Владелец продукта, менеджер продукта Бизнес-аналитик, финансовый аналитик UX- дизайнер Маркетолог Проектный менеджер HR- специалисты И другим Требования Требования и обязанности будут определены при выборе наиболее подходящей позиции под опыт и экспертизу кандидата.

Компания X5 предлагает оплачиваемую стажировку для молодых специалистов в различных областях, включая управление продуктами и проектами, маркетинг и коммуникации, финансы и право, категорийный менеджмент и логистику, антифрод и информационную безопасность, а также аналитику и работу с данными. Участникам предоставляется возможность глубоко погрузиться в профессиональные задачи, работать по гибкому графику, который позволяет совмещать стажировку с учёбой, получать поддержку наставника и регулярную обратную связь. По итогам успешного прохождения стажировки есть возможность продолжить работу в компании.

Ритейлер открывает новый набор в Business Camp X5 — программу полугодовых стажировок в Москве. Направления: — Аналитика и работа с данными — Управление продуктами и проектами — Маркетинг и коммуникации — Финансы и право — Категорийный менеджмент и логистика — Антифрод и информационная безопасность Обещают гибкий график, наставничество и работу над реальными задачами в командах X5. Лучшие участники смогут получить оффер и продолжить карьеру в крупном ритейлере. Для участия необходимо зарегистрироваться и пройти отбор. Прием заявок до 6 октября.

Актуально для студентов 3-4 курсов и выпускников. Это полугодовая программа оплачиваемых стажировок, которая позволяет получить практический опыт в омниканальном ритейлере без отрыва от учёбы. Направления: — Финансы и право — Управление продуктами и проектами — Аналитика и работа с данными — Категорийный менеджмент и логистика — Маркетинг и коммуникации — Антифрод и информационная безопасность Участников ждут: — Гибкий график — можно выбрать удобное расписание — Опытный наставник — поддержка и обратная связь — Оффер в команду — лучшие смогут продолжить карьеру в Х5 Подать заявку нужно до 6 октября на сайте программы.