Save & Invest in Bitcoin, Effortlessly.
Data Analytics Lead
Location
France
Posted
57 days ago
Salary
0
Seniority
Senior
Job Description
Data Analytics Lead
Bitstack
• Use quantitative analysis to understand what drives Bitstack’s business and product performance. • Build full-cycle analytics work: datasets, dashboards, and executive-ready narratives. • Create repeatable analytical frameworks (cohorts, segmentation, measurement plans) rather than one-off answers. • Partner with Engineering to implement, validate, and monitor event logging and data quality. • Work cross-functionally with Product, Engineering, Compliance/Risk, Ops, Support, and Finance to scope ambiguous problems and turn them into data-backed decisions. • Proactively identify levers to move key metrics, size opportunities, and recommend actions.
Job Requirements
- Strong quantitative foundation in Statistics, Economics, Math, CS, Physics, or equivalent practical experience.
- Expert SQL and comfort working directly with production-grade datasets.
- Strong Python (or R) for analysis, modeling, and automation.
- Experience with experimentation, hypothesis testing, and causal thinking (A/B testing, quasi-experiments when A/B is not feasible).
- Experience with analytical methods such as: Funnel analysis and product measurement, Cohort retention, segmentation, and lifecycle analysis, Time-series analysis and forecasting, Regression / classification, model evaluation, and pragmatic deployment patterns
- Proven ability to take ambiguous problems and solve them in a structured, hypothesis-driven way.
- Strong stakeholder communication: you can turn messy analysis into clear recommendations and trade-offs.
Benefits
- Work from our office in Paris (Bourse) or Remote
- Flexible working hours
- One of the best health insurance plans with 100% employer contributions
- Monthly team activities and bi-annual offsites
- Swile meal vouchers
- Competitive salary based on experience & Bitstack stock options
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
Finance & Analytics Manager, Transportation
CVS HealthBringing our heart to every moment of your health.
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. CVS Health is seeking a Finance & Analytics Manager to support the Transportation team. This role will be responsible for creating and managing essential financial and metric reporting, maintain complex databases, and will work with the Transportation team on the development of the yearly budget, quarterly forecasts, and monthly financial projection and close processes. Responsibilities: • Manage and enhance financial and metric reporting such as P&L results, route, mileage, cost per mile, miles per route, cube/route, fuel consumption • Monitor the monthly EIA change in fuel price vs the budgeted and forecasted fuel rates • Calculate the cost impact on re-alignments and overrides and change in shipment plans • Maintain complex databases, data queries linked to metric and financial reporting • Support the Transportation team with various analysis for RFP’s and union negotiations • Analyze transportation metrics to uncover, communicate, and solve for opportunities • Provide weekly projections, monthly and quarterly P&L reporting for leadership team and DCs to review •Develop the new year financial/metric budget models •Work with the dedicated and private fleet teams in developing a bottoms up budget and incorporating the necessary initiatives and layers •Identify and model budget shifts and variance explanations vs previous forecast Required Qualifications • Minimum 5 years of Finance or Analytics experience • Proficiency in Microsoft Excel • Minimum 2 years of experience constructing complex models to analyze financial and metric data • Experience working with large databases •Travel up to 5% Preferred Qualifications • Finance, experience in supply chain or distribution • Analytical skills, quantitative skills, and problem-solving skills • Microsoft Office including Access, and PowerPoint • SAP experience • Power BI, ThoughtSpot, or Tableau experience • Strong verbal and written communication skills across various audiences • Ability to work independently, manage multiple tasks and prioritize responsibilities to meet critical deadlines • Strong interpersonal skills with the ability to build strong relationships and contribute in a team setting •Bachelor’s degree in Finance/Accounting, Business, or Supply Chain Education: High School Diploma/GED Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $54,300.00 - $159,120.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 04/03/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
• Develop and maintain dashboards and analytical views related to the company’s revenue • Structure and evolve data models and revenue metrics • Ensure the consistency and reliability of data used in analyses • Act as the analytical point of reference for topics related to revenue, billing, and accounts receivable • Develop and automate revenue and accounts receivable reports • Integrate data from multiple sources, including financial systems such as SAP S/4HANA • Reduce manual processes through automation and data structuring • Improve the efficiency and frequency of report generation • Conduct exploratory and structured analyses of revenue performance • Support the generation of insights for executive leadership • Identify trends, inconsistencies, and opportunities from the data • Support analyses related to new products and monetization models • Contribute to improving the quality and governance of revenue data • Establish best practices for metric definition and usage • Partner with technical and finance teams to ensure data consistency • Support the evolution of data architecture related to revenue
Data Analyst
QodeQode is a unified hiring platform designed for enterprise scale, centralizing the entire hiring lifecycle in one environment. Key features include: Candidate sourcing and outreach. AI-led interviews in 30+ languages. Applicant tracking and job distribution to 200+ platforms. Outcome-based pricing: clients pay for results, not software seats. 800M+ candidate profiles indexed. 200,000+ applicants processed per month. 56+ enterprise clients worldwide.
We are looking for a detail-oriented Data Analyst to support corporate and financial analytics across enterprise systems such as ERP, billing, and financial reporting platforms. The ideal candidate will have strong expertise in SQL and EDA, along with hands-on experience in billing insights, financial reporting, compliance analytics, and cost optimization tracking (OPEX/TCO). Role: Data Analyst - Corporate Location: Basking Ridge, NJ Duration: 6+ Months Role and responsibilities 1. Perform exploratory data analysis (EDA) on financial, ERP, and billing datasets 2. Write and optimize SQL queries for data extraction, transformation, and reporting 3. Analyze ERP data (finance, procurement, supply chain) to generate business insights 4. Generate and validate billing insights, ensuring accuracy and reconciliation 5. Support financial reporting and dashboard creation for business stakeholders 6. Ensure compliance with financial regulations and reporting standards 7. Track and analyze OPEX and TCO reduction initiatives, identifying cost optimization opportunities 8. Perform data reconciliation and validation across multiple enterprise systems 9. Utilize GCP (BigQuery, Dataproc, Cloud Storage) for data analysis and reporting Technical skills requirements The candidate must demonstrate proficiency in, · Strong proficiency in SQL (joins, aggregations, window functions) · Strong understanding of EDA and data analysis techniques · Experience working with ERP systems (SAP, Oracle, or similar) · Hands-on experience in: o Billing analytics and reconciliation o Financial reporting and KPI tracking o Compliance and audit-related data analysis · OPEX/TCO cost tracking and optimization analysis · Ability to work with large-scale financial and transactional datasets · Exposure to cloud platform - GCP– BigQuery, Dataproc, Composer · Strong Knowledge in Python Nice-to-have skills · Experience with predictive modeling / ML techniques (churn prediction, CLV models) · Experience with AI-native analytics tools and automation platforms · Domain expertise in telecom
FinOps Data Analyst, Consultant
Cortex Reply UKHarnessing generative AI to drive excellence, build secure solutions, and turn adoption challenges into opportunities.
• Collaborate on FinOps projects together with colleagues • Analyze client’s cloud environments to highlight optimization potential • Create transparency using cloud-native or 3rd party tools for cost allocation • Use communication skills to interact with various stakeholders • Develop FinOps blueprints and share knowledge with colleagues • Design and deliver FinOps trainings and give conference talks • Drive FinOps topic development and innovation within Reply • Expand offering with new opportunities, such as FinOps for sustainability



