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Location: Sofia, Bulgaria; Plovdiv, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: Build and maintain operational and product Key Performance Indicator (KPI) definitions based on high-level business requirements. Leverage your in-depth understanding of the existing data warehouse structure and content to ensure accurate and meaningful KPIs. Generate data-backed actionable insights that drive informed and strategic business decisions. Support team members and stakeholders by providing clear documentation and the ability to explain metrics, dimensions, and KPIs in a concise and understandable manner. Ensure data consistency and accuracy by defining and executing QA automation and reconciliation processes, guaranteeing reliable and trustworthy data. Generate insightful reports from the data warehouse using visual reporting tools or direct queries, enabling stakeholders to make informed decisions. Develop analytical and statistical data models to provide comprehensive research and valuable insights aligned with high-level business requirements. Translate business needs into technical requirements for reporting or data warehouse enhancements, bridging the gap between business objectives and technical implementation. Train stakeholders on how to effectively use self-service Business Intelligence (BI) tools, empowering them to access and interpret data independently. Collaborate with stakeholders, including executives, product managers, and engineers, to address data-related issues and fulfill their data requirements. Create data tools for business departments that facilitate the building and optimization of our product, positioning us as an innovative industry leader. Discover and employ meanignful AI-driven optimizations in your day-to-day tasks. Partner with cross-area teams to support self-service data initiatives. What makes you stand out: A robust data analytical background, enabling you to handle complex data analysis tasks with confidence. Proficiency in using BI reporting tools, (preferably Tableau), to present data in a visually compelling and user-friendly manner. Experience in defining requirements for software or data engineers, ensuring effective communication and alignment between teams. Expertise in designing and executing SQL queries, mapping and reconciling data sources, and troubleshooting data issues, ensuring data integrity. The ability to perform root cause analysis on business results and processes based on collected data, deriving actionable insights to drive improvements. Proven experience collaborating with cross-functional teams in a dynamic environment, showcasing adaptability and teamwork skills. Familiarity with banking, financial, and/or crypto Key Performance Indicators (KPIs) and concepts, which allows you to quickly grasp and address industry-specific requirements. Knowledge or experience in statistical and data modeling techniques is considered a plus. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Free parking with a designated space, free electric bikes, and public transportation cards. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Location: Kuala Lumpur, Malaysia; George Town, Malaysia; Petaling Jaya, Malaysia; Johor Bahru, Malaysia; Ipoh, Malaysia; Shah Alam, Malaysia; Malacca, Malaysia Workplace: fully David Kennedy Recruitment is working with a global customer experience and technology services company that is seeking to onboard a Japanese-speaking Quality Analyst to support its Japanese-speaking Customer Service team in Malaysia. As a Quality Analyst, you will be responsible for monitoring and evaluating customer interactions to ensure that the Japanese-speaking Customer Service team consistently delivers high-quality customer support. You will assess interactions across phone, email and messaging channels, identify areas for improvement, provide actionable feedback and work closely with Team Leaders to maintain service standards and enhance the overall customer experience. Position: Quality Analyst (Japanese) Location: Malaysia Model: Remote Employment type: Full time DUTIES AND RESPONSIBILITIES: Monitor and evaluate customer interactions across phone, email and messaging channels Conduct regular quality assessments to ensure compliance with established procedures and service standards Evaluate customer service representatives' communication, problem-solving skills and handling of customer enquiries Identify quality gaps, recurring issues and opportunities for improvement Provide clear and constructive feedback to Customer Service Representatives and Team Leaders Prepare quality reports and share insights regarding individual and overall team performance Collaborate with Team Leaders to develop and implement improvement plans Participate in quality calibration sessions to ensure consistency in evaluation standards REQUIREMENTS: Native Japanese and good command of English Previous experience in Quality Assurance or Quality Analysis within a customer service or contact centre environment Experience monitoring and evaluating customer interactions Strong understanding of customer service standards and quality assessment processes Excellent analytical skills and attention to detail Ability to identify performance gaps and provide constructive feedback Strong written and verbal communication skills Ability to prepare reports and communicate findings to relevant stakeholders Willingness to work rotating shifts, including weekends and public holidays, according to business requirements BENEFITS: Work-from-home arrangement in Malaysia Competitive compensation package Performance bonus opportunities Employee benefits Career and professional development opportunities Access to thousands of free learning courses Initial training and ongoing coaching Inclusive and supportive working environment Opportunity to work within a global team Relocation support And many more!

Location: Global (Remote) Workplace: Remote DECISION INTELLIGENCE ANALYST Team: Product Location: Flexible / Remote Reporting to: VP of Product ROLE OVERVIEW Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment. The Decision Intelligence Analyst owns decision quality. This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops. It ensures the platform does not merely generate outputs — but generates sound, defensible decisions. The Decision Intelligence Analyst is the quality control layer for decision intelligence. CORE MANDATE The Decision Intelligence Analyst is accountable for: - Evaluating decision outputs for logical integrity and sound reasoning - Identifying patterns of judgment failure or inconsistency - Designing structured feedback loops to improve AI reasoning - Training and refining AI judgment frameworks - Defining measurable standards for decision quality This role governs the reliability of Rwazi’s decision engine. KEY RESPONSIBILITIES DECISION OUTPUT EVALUATION - Review system outputs for logical coherence and reasoning rigor - Assess signal interpretation accuracy - Identify tradeoff miscalculations or flawed inference pathways - Document recurring reasoning gaps AI JUDGMENT TRAINING - Create structured examples to refine reasoning performance - Develop edge-case libraries for training robustness - Formalize evaluation rubrics for decision quality - Collaborate with R&D to improve reasoning architecture QUALITY STANDARDS & METRICS - Define measurable criteria for decision-grade output - Track improvements in reasoning consistency - Monitor drift in output quality over time - Establish acceptance thresholds for release FAILURE MODE ANALYSIS - Identify systemic reasoning weaknesses - Surface blind spots in signal modeling - Propose structured adjustments to logic layers - Escalate structural flaws early CROSS-FUNCTIONAL COLLABORATION - Partner with Product to align quality with roadmap goals - Collaborate with R&D on advanced reasoning improvements - Provide structured feedback to Engineering when system behavior deviates ROLE IMPACT Strong performance in this role results in: - Higher confidence in decision outputs - Reduced reasoning inconsistencies - Improved explainability - Faster detection of system drift - Stronger enterprise trust This role protects the intellectual credibility of the platform. WHAT THIS ROLE IS NOT - This is not general QA - This is not surface-level data validation - This is not simple output review This role evaluates reasoning quality, not formatting correctness. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong analytical and logical reasoning ability - Experience evaluating AI systems, decision frameworks, or complex models - Comfort dissecting multi-step reasoning chains - Ability to formalize judgment criteria - Strong written clarity and structured thinking - Comfort working with ambiguity and edge cases Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields. CULTURAL FIT We value analysts who: - Obsess over reasoning integrity - Question outputs rather than accept them - Care about intellectual rigor - Prefer structured evaluation over intuition - Are comfortable holding high standards HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to critique and improve structured reasoning - Clarity of their evaluation frameworks - Depth of logical analysis - Ability to identify hidden failure modes - Their rigor in defining measurable quality standards We prioritize demonstrated reasoning discipline over titles alone. SUMMARY The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine. This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.

Location: Tbilisi, Georgia Workplace: Hybrid ABOUT PAVE BANK Pave Bank is a fully licensed commercial bank, regulated by the National Bank of Georgia. We are reimagining how global businesses access and move capital by bridging the gap between traditional finance and digital assets. Joining Pave Bank means becoming part of a fast-growing institution redefining this convergence. You will have the opportunity to work alongside second-time founders and industry leaders, gain deep exposure to institutional banking and digital assets, and grow within a dynamic and ambitious team. THE ROLE We are seeking a Commercial Operations Analyst to join our team in Tbilisi (Visa sponsorship available). This role will support the commercial team in building scalable processes, managing client pipelines, and ensuring smooth operations as we expand globally. KEY RESPONSIBILITIES - Support commercial reporting and prepare insights for the leadership team to guide decision-making. - Assist in the client onboarding process, coordinating across internal teams to ensure a smooth experience. - Track and maintain the commercial pipeline, ensuring accurate records of client opportunities. - Manage and optimize CRM workflows to improve visibility and efficiency. - Contribute to process improvement initiatives, identifying ways to streamline commercial operations. - Collaborate with cross-functional teams to support business development activities. REQUIREMENTS - Prior experience in commercial, operations, or analytical roles is strongly preferred. - Previous experience working in startups or fast-paced environments is strongly preferred. - Strong analytical and organizational skills, with attention to detail. - Proficiency in Excel/Google Sheets, familiarity with CRM tools and utilising AI tools and automation software (Make, n8n) to create systems. - Excellent communication skills in English (additional languages a plus). - Knowledge of digital assets and cryptocurrency is a plus, but not required. - Proactive mindset and eagerness to learn in a dynamic environment.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview Fanatics Betting & Gaming is seeking a Data Analyst III to play a key role in optimizing and scaling our VIP program through data-driven insights. This position will focus on performance tracking, reporting, and ad-hoc analysis to drive strategic decision-making and enhance customer engagement. You will be responsible for building and maintaining Sigma dashboards, writing SQL queries, and leveraging AI automation and data engineering best practices to extract and analyze large datasets in a scalable fashion. Your insights will directly impact sales operations, customer reinvestment strategies, and VIP journey optimization, helping to create a seamless, high-value experience for our most engaged users. Key Responsibilities Build and maintain Sigma & AI powered dashboards to visualize VIP program performance and key business metrics. Develop SQL queries to extract, analyze, and manipulate large datasets, driving customer engagement insights. Collaborate with analytics engineering teams to build and maintain data pipelines for VIP related data. Analyze sales operations, customer reinvestment trends, and engagement behaviors to inform VIP program strategy. Develop predictive models to optimize customer segmentation, routing, and personalized VIP journeys. Provide data-driven recommendations to improve customer relationships, maximize engagement, and enhance the VIP experience. Automate reporting processes and streamline data workflows for efficiency and scalability. Embedding AI efficiencies into every process and using it to do work previously not possible. Effectively communicate insights to commercial, marketing, operations, and executive leadership teams to drive strategic initiatives. Experience & Skills 5+ years of experience in data analytics, business intelligence, or data engineering. Advanced SQL proficiency, with experience handling large-scale datasets and optimizing queries. Strong expertise with dashboard development, visualization, and performance tracking. Understanding of analytics engineering best practices, pipeline optimization, and automation. Hands on experience with using AI to iterate quickly and drastically improve efficiencies. Experience with DBT is a plus. Ability to think strategically and translate data into business insights and revenue-driving recommendations. Experience with customer loyalty programs, engagement analytics, or VIP strategy is a plus. Self-motivated, highly detail-oriented, and strong problem-solving mindset with the ability to work independently. Excellent communication skills, with the ability to present data insights to both technical and non-technical stakeholders. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $130,000 — $150,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The Commercial Excess Inventory Analyst will help Hasbro create a smooth, adaptable inventory flow by connecting surplus stock with commercial opportunities across customers, channels, and markets. This position collaborates closely with Sales, Marketing, Finance, and Licensing teams to make sure excess inventory is thoroughly reviewed, approved, and addressed, while ensuring accurate reporting and documentation. This role will pinpoint practical excess inventory opportunities, organize customer and channel activation strategies, and aid swift implementation from insight to sale. The Analyst manages and refines excess inventory operations by conducting data analysis, preparing reports, and working closely with various teams. The analyst maintains data accuracy, uncovers gaps in systems and procedures, and contributes to boosting efficiency through automation, process enhancements, and more efficient workflows. Success in this role looks like: Sales teams have clearer, more actionable access to inventory opportunities; Inventory transitions more seamlessly across customers, channels, and markets; Commercial opportunities are identified earlier and activated faster; Supply Chain, Sales, Finance, and Marketing are aligned on what inventory should move, where it should move, and who owns the next step; Fewer opportunities stall because of unclear ownership, missing data, or fragmented communication; Inventory activation plans are tracked from recommendation through execution; The business has better access to what actions worked and where future opportunities exist. Location and Work Arrangement This role is based at our Boston, MA office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Partner with Sales, Supply Chain, Finance, Marketing, Demand Planning, and Licensing to identify excess inventory that can be activated through customer, channel, market, promotional, or allocation opportunities. Convert inventory, demand, order book, customer, and sales performance data into clear, prioritized commercial action lists and recommendations. Coordinate with Sales teams to understand customer interest, account opportunities, promotional windows, channel needs, and potential demand-shaping activities. Help prioritize where Sales and Brand teams should focus based on available supply, forecasted demand, customer/channel fit, margin impact, and timing. Partner with Finance to understand commercial implications (e.g., pricing, trade, discounting, profitability) of proposed actions. Create and maintain Excel-based tracking tools and regional activation trackers, ensuring action owners, next steps, timing, and status are current and shared with collaborators. Own excess scorecard reporting and benchmark performance tracking; analyze large datasets to identify discrepancies, risks, and actionable insights. Refine and validate data to ensure consistency across systems and reports; maintain accurate documentation and backups of inventory actions and decisions. Support post-activity learning by tracking actions taken, inventory moved, and commercial outcomes to inform continuous improvement. Complete ongoing excess processes on a regular cadence (e.g., closeout tagging, system updates, status progression) to enable timely activation and clean governance. Coordinate and track licensor approvals required to move inventory through excess channels (as applicable). Coordinate follow-ups across cross-functional partners to ensure agreed actions move from discussion to execution; monitor progress and surface risks, roadblocks, and decisions requiring alignment. Maintain current commentary and supporting documentation to ensure transparency and auditability of excess actions. Support excess automation initiatives, including testing, tagging logic, and ongoing data-driven improvements. Recognize and fix system and process gaps (e.g., missing or outdated pricing, inconsistent data) to boost operational and financial accuracy. Reduce complexity and improve usability of excess reporting files, templates, and workflows; contribute to cross-functional improvement initiatives and taskforces. Support organizational transitions and train collaborators on updated excess management processes and ways of working. What You'll Bring 3 years' experience in an Analytics or Supply Chain related role. Strong analytical skills with the ability to convert data into clear actions and recommendations. Proficiency in Excel and comfort working with large datasets, trackers, and recurring reporting cadences. Diligent approach to data accuracy, documentation, and process governance. Demonstrated ability to work cross-functionally and drive follow-through across multiple collaborators. Commercial approach with interest in inventory flow solutions (customer/channel activation, promotions, allocations, closeout actions). Continuous improvement approach; interest in process optimization and automation. Strong Excel skills, including pivot tables, lookups, data cleaning, and structured analysis. What Sets You Apart Experience with Power BI, Tableau, SAP, planning tools, ERP systems, or similar reporting platforms. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . Privacy Notice Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process. The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $76,500 — $114,800 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

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 About the Team As a fast-growing financial services platform, OnePay needs an internal finance infrastructure that scales as quickly as the business does. The Finance Systems & Transformation team owns the internal financial applications that let us operate efficiently: the tools that manage our financial planning, accounting, generate our financial statements, run finance operations, manage spend and cash, and enable Finance and Accounting to partner with the broader business. Our core finance stack includes NetSuite Financials, Ramp, Numeric, Cube, Kyriba, Atlar and Carta. Role Overview As a Business Systems Analyst, you will partner with Finance, Accounting, Treasury and other finance stakeholders to support and evolve OnePay’s financial systems. You will automate finance processes, keep our financial applications secure, controlled, and integrated, and support critical month- and quarter-end close. We are working to be an AI-native company, so we expect you to use AI to improve how you design, build, test, document, and automate. Reporting to the Head of Finance Transformation, this role combines experience in the finance domain, expertise in finance SaaS systems and hands-on techno-functional execution with a business partner mindset: you dig into requests to understand the real need, then deliver solutions that scale. What You’ll Do • Own day-to-day support and enhancement of OnePay’s finance systems: NetSuite Financials, Ramp, Numeric, Cube, and Kyriba / Atlar, including: – Change management and release management (including NetSuite release testing) – User security, roles, and permissions across all finance systems – Product configuration, including financial controls and approval workflows – Data protection and integrity – Reports and saved search management – Monitoring of scheduled scripts, workflows, and integration jobs – Data sync and integrations between NetSuite, Ramp, Numeric, Cube, and Kyriba / Atlar • Partner with Accounting and Finance teams and support the critical month- and quarter-end close, including close task management and reconciliations in Numeric • Support spend management and AP/card workflows in Ramp, including GL coding, sync to NetSuite, and policy configuration • Support FP&A planning, budgeting, and forecasting models in Cube, including data feeds from NetSuite • Partner with Treasury to support cash positioning, bank connectivity, and payment workflows in Kyriba / Atlar, and their integration with NetSuite • Support uptake of new modules and features rolled out by these applications. • Create and maintain standards, procedures, and documentation for your areas of responsibility • Participate in system audits and perform testing for SOX controls • Administer access to systems within approved IT security policies, guidelines, and standards • Automate manual finance processes, using AI where it improves speed or quality • Partner with Software and Data Engineering teams in designing, developing, testing and deploying, purpose built capabilities for finance teams. Who You Are • Bachelor’s degree in Finance, Accounting, Information Systems, or a related field, or an Associate degree with 8–10years of relevant work experience • 8+ years of experience with ERP financial applications (NetSuite preferred) as a techno-functional resource • Knowledge of finance operational processes, particularly period close and audit functions • Experience across all phases of the delivery lifecycle • Excellent communication, interpersonal, and analytical skills, and strong team collaboration • Critical thinking and curiosity to dig deeper into requests to determine true needs • Proven ability to deal with ambiguity in a rapidly changing business environment, resolve problems, and offer impactful solutions • Ability to independently manage and prioritize workload and projects • Hands-on experience building and deploying AI agents using Claude, ChatGPT, or similar LLM platforms to drive operational efficiencies, preferably for Finance teams. Minimum Requirements • Hands-on experience with NetSuite Financials (GL, AP, AR, fixed assets, multi-subsidiary / OneWorld) • Experience with finance close and reconciliation tools (Numeric or similar) • Experience with spend management platforms (Ramp or similar) and their ERP integrations • Experience with FP&A planning platforms (Cube or similar) • Experience with treasury or cash management systems (Kyriba, Atlar, or similar) • Experience with reporting using NetSuite SuiteAnalytics, saved searches, and Financial Report Builder • Data literacy and integration tooling experience (e.g Celigo, Fivetran or other ETL / iPaaS tools); Preferred Qualifications • Experience using Databricks for finance data engineering, analytics, or reporting (e.g., pipelines from NetSuite and other finance systems, SQL / notebooks) • Experience using Claude (including Claude Code and MCP integrations) to automate finance workflows, build tooling, generate documentation, and speed up testing and analysis • Experience building AI-assisted finance automations, such as reconciliation, variance commentary, or close-checklist agents • Experience with SuiteScript, SuiteFlow, SuiteTalk / REST integrations, or middleware platforms • Experience at a fintech, bank, or other high-growth financial services company • Experience with SOX-compliant system controls and audit support 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: United States What the Role Is As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table. Who You Are Deep eCommerce or retail analytics experience - fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch Proven at balancing people management with hands-on IC work - you can point to analysis you've owned yourself while leading a team, not just work you've coordinated Experienced managing experienced analysts - you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work Confident partnering with VP+ stakeholders - you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives Hands-on with AI-native analytics - you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards Engaged in what we're building - you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation Prioritizes progress over perfection - you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing 8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights. Strong knowledge of data governance, data quality management, and data strategy principles. How You Will Make An Impact Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance Partner directly with senior leaders in each area, with regular exposure to the executive team Define and steward the KPI and reporting standards these functions run on Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits Why This Role You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $228,250 to $273,900 + 20% target bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: Canada What the Role Is As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table. Who You Are Deep eCommerce or retail analytics experience - fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch Proven at balancing people management with hands-on IC work - you can point to analysis you've owned yourself while leading a team, not just work you've coordinated Experienced managing experienced analysts - you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work Confident partnering with VP+ stakeholders - you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives Hands-on with AI-native analytics - you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards Engaged in what we're building - you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation Prioritizes progress over perfection - you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing 8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights. Strong knowledge of data governance, data quality management, and data strategy principles. How You Will Make An Impact Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance Partner directly with senior leaders in each area, with regular exposure to the executive team Define and steward the KPI and reporting standards these functions run on Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits Why This Role You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Задачи: — Выполнение полного цикла системного анализа модулей платформы. — Формализация бизнес-требований. — Проектирование логики работы модулей. — Описание интеграций и потоков данных. Требования: — Опыт работы в бизнесе в сфере ритейла, производства на роли бизнес/системного аналитика. — Опыт работы в консалтинге в сфере управления цепями поставки, ритейла на роли бизнес/системного аналитика. — Знание стека: Knowledge Space, Optimacros, Novo BI, Jume, Reshape. — Опыт работы системным аналитиком от 5 лет. — Желателен совмещённый опыт системного и бизнес-аналитика. — Опыт работы с аналитическими платформами, корпоративными системами или системами планирования. — Опыт участия в сложных проектах с большим количеством данных и интеграций. — Системный анализ требований (BRD, FRD, SRS, Use Cases, User Stories). — Моделирование бизнес-процессов (UML, AS-IS / TO-BE). — Проектирование и описание данных (ER-диаграммы, логические модели). — Работа с реляционными и нереляционными базами данных на уровне анализа данных и требований. — Работа с интеграциями: REST API, форматы обмена, спецификации OpenAPI; понимание событийных интеграций. — Декомпозиция сложных бизнес-задач до технических требований. — Навыки чтения и написания аналитических SQL-запросов. — Высшее образование (информационные технологии, математика, экономика, прикладные науки). Будет плюсом: — Опыт в Supply Chain, Demand Planning, Forecasting, ERP, APS. — Опыт работы в продуктовых командах (Agile, Scrum). — Понимание процессов Supply Chain Planning, S&OP, Demand Sensing (для модуля Demand Planning). — Понимание задач линейной и смешанно-целочисленной оптимизации, LP, MILP (для модуля Supply Network Planning). — Опыт описания требований к ML и аналитическим компонентам (feature engineering, качество данных, метрики моделей). — Базовое понимание методов Operations Research для диалога с разработчиками алгоритмов. — Навыки построения экономических обоснований (ROI, TCO, cost-to-serve). — Базовые навыки анализа данных для валидации гипотез. — Использование инструментов моделирования: Draw.io, PlantUml, Miro или аналоги. — Опыт работы с Яндекс.Трекер Axenix, Яндекс.Вики Axenix (или Jira, Confluence). — Базовое понимание архитектуры web-приложений, backend-сервисов и ML-конвейеров. — Владение инструментами бизнес-анализа: gap-анализ, моделирование бизнес-объектов. — Наличие сертификаций по системному или бизнес-анализу (IIBA CBAP, CCBA, курсы по BABOK). — Обучение в области Supply Chain, Demand Planning, Operations Research.

Задачи: анализ бизнес-потребностей и проектирование системных интеграций между банковским мобильным приложением, внутренними банковскими системами и сторонними сервисами; сбор и анализ бизнес- и системных требований к новым фичам и интеграциям от концепции до внедрения;

Location: New York, New York, United States Business Analyst, Data - Associate / Assistant Vice President Department: Data Solutions Location(s): Greenwich, CT or New York, NY About the Role iCapital is seeking an Associate or Assistant Vice President Business Analyst to join its growing Data Solutions team. This individual will support the development of the firm's Data Solutions strategy by analyzing data assets, evaluating potential solutions, and supporting strategic data initiatives across the firm. This role will work across Business, Product, Technology, and Data teams and provide analytical support for our data initiatives, including writing product descriptions and managing the software development lifecycle. The ideal candidate has a background in cross-functional project management, including incorporating feedback from multiple stakeholder teams and keeping initiatives on schedule. Responsibilities Analyze proprietary and third-party datasets to assess coverage, quality, availability, usage rights, and potential commercial applications. Support the inventory and assessment of data assets across iCapital and identify opportunities to create new client solutions. Research prospective data providers, technology companies, strategic partners, and distribution channels. Gather and document business, data, and reporting requirements in partnership with Product, Data, Technology, Operations, and business teams. Analyze client needs, workflows, use cases, and feedback to support solution prioritization and development. Build and maintain reporting that tracks Data Solutions initiatives, product opportunities, partnerships, and commercial performance. Write and maintain clear, accurate, and client-ready Product Descriptions for Data Solutions offerings, including coverage, methodology, use cases, and key differentiators. Gather, consolidate, and incorporate feedback on Product Descriptions from Product, Data, Technology, Legal, Compliance, Sales, and other cross-functional teams, and resolve conflicting input. Manage project timelines, milestones, and dependencies across the software development lifecycle, tracking progress and escalating risks and delays to senior management. Coordinate review cycles and approvals with cross-functional stakeholders to ensure deliverables are completed on schedule. Qualifications 2-5 years of experience in financial services, financial data, fintech, private markets, consulting, investment banking, strategy, or a related field Bachelor's degree in finance, economics, business, data analytics, computer science, or related discipline Significant experience with SQL, Python, Tableau, Power BI, or similar analytical tools is preferred Interest in private markets, alternative investments, financial data, and wealth technology Excellent attention to detail, organization, and written and verbal communication skills Excellent writing skills, with experience producing product documentation or descriptions and incorporating stakeholder feedback Demonstrated project management experience, including managing timelines, dependencies, and deliverables across cross-functional teams Benefits The base salary range for this role is $100,000 to $120,000 at Associate and $120,000 to $150,000 at AVP.  iCapital offers a compensation package which includes salary, 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 unlimited 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 X: @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.

Location: Brownsville, WI Corporate Office Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 8,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as a Labor Relations Analyst can change yours. A Labor Relations Analyst is responsible for interpreting and analyzing labor contracts for wage and benefits issues, scope of work, geographical jurisdiction, and other terms and conditions, in addition to administrating apprentices’ certification and progressions. Critical for success are the abilities to produce highly accurate work in a timely manner, maintain strong attention to detail, and maintain a high level of confidentiality. Communication skills, both oral and written, self-motivation, a strong customer focus are musts. Why Michels? We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We believe it is everyone’s responsibility to promote safety, regardless of job titles. We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan.  Depending on your positions and location you may participate in a different benefit plan. Why you? You thrive in fast-paced environments under tight deadlines You are organized and professional You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You deliver exemplary customer service through interactions with others Main Responsibilities: Coordinate apprenticeship tracking: obtain and process paperwork, update and maintain employee records, and coordinate rates. Process established grants. Request letters of good standing. Request, analyze, and process collective bargaining agreement (CBA) and rate updates, ensure labor relations systems are up to date. Obtain, document, and track substance abuse testing policies for CBAs. Assist with maintaining Geographic Information System (GIS) and Customer Relationship Management (CRM) databases. Assist with creating and updating standard operating procedures Communicate and interact effectively and professionally with internal and external (including union) contacts. What it takes: High School degree, or equivalent, and 2+ years of experience with collective bargaining agreements Proficient in Microsoft Office suite Experience with Geographic Information System (GIS) (desired) Experience with construction unions and/or analyzing collective bargaining agreements (desired) Associate’s or Bachelor’s degree with a focus in Human Resources and/or Labor Relations (desired) AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Задачи: — Анализ бизнес-процессов заказчика, проведение обследования предприятия — Подготовка проектной документации: протоколы встреч, отчет об обследовании — Составление технических заданий для программистов — Функциональное тестирование разработок — Консультирование и обучение пользователей Требования: — Знание одной из конфигураций: 1С: ERP, КА в части регламентированного учета (приоритет) и производства — Опыт внедрения данных контуров на ПП 1С в роли аналитика — Опыт работы в компании франчайзи и наличие сертификатов уровня специалист-консультант по данным контурам будет преимуществом — Готовность обучаться, изучать новые контуры и получать сертификаты 1С уровня специалист-консультант

Задачи: — Анализ продуктовых воронок, конверсий, подписок и платежей; — Проектирование и анализ A/B-тестов; — Работа с когортами, LTV, CAC, ROAS и unit-экономикой; — Контроль качества данных и развитие аналитической инфраструктуры; — Поиск точек роста и подготовка рекомендаций для бизнеса. Требования: — От 3 лет опыта в продуктовой аналитике, включая B2C Web2Web; — Уверенное владение SQL и Python (pandas); — Практический опыт A/B-тестирования и статистики; — Понимание подписочной модели и ключевых продуктовых метрик; — Опыт работы с BI / Product Analytics инструментами. Условия: — Полностью удалённая работа без ограничений по локации; — Гибкий график, часовой пояс GMT+3; — Небольшая команда, минимум бюрократии и возможность влиять на продуктовые решения; — Перспектива роста до Lead of Analytics.

Задачи: — Построение системы веб-аналитики с нуля с использованием GA4, GTM, server-side tracking и моделей атрибуции — Анализ маркетингового трафика, эффективности рекламных каналов, CAC, ROAS, LTV и retention — Разработка моделей атрибуции, прогнозирование LTV и анализ подписочной экономики — Создание дашбордов в Tableau, анализ воронок и проведение A/B-тестов — Взаимодействие с Performance Marketing Team и влияние на маркетинговые решения Требования: — Опыт работы в аналитике не менее 3 лет, включая Marketing / Web Analytics — Опыт работы с B2C web subscriptions или e-commerce, понимание веб-трафика — Навыки расчёта и прогнозирования LTV, анализа CAC, retention, когорт и маркетинговых воронок — Опыт работы с Facebook Ads, Google Ads, TikTok Ads и моделями атрибуции — Уверенное владение SQL и Python (pandas, NumPy) — Опыт настройки веб-трекинга с нуля и работы с BI-инструментами — Владение украинским и русским языками Условия: — Работа в международной IT-компании — Поддержка сильной Data-команды из 10+ специалистов — Медицинская страховка — Бюджет на обучение

Задачи: — Полный цикл анализа триггерных кампаний, пилотов и A/B-тестов, включая настройку кампаний в CRM, контроль корректности, согласование методики оценки эффективности. — Анализ воронки коммуникаций и влияние на продажи и маржу. — Поиск точек роста, формирование гипотез, план-факт и ad-hoc аналитика. — Прогнозирование, автоматизация отчётности и подготовка требований на доработку CRM. Требования: — Опыт в CRM-аналитике от 2–3 лет в ретейле или e-commerce. — Уверенное владение Python и продвинутый SQL. — Знание Яндекс Метрики, AppsFlyer, AppMetrica, PostgreSQL, Greenplum и ClickHouse. — Понимание CRM-коммуникаций и промокампаний. — Опыт A/B-тестирования, анализа временных рядов, периодов pre/promo/post и контрольных групп. — Высшее математическое или техническое образование.