At bluBank, we are looking for a talented and curious Data Analytics Team Lead to join our Data Team. This is a player-coach role: you will lead analytics for one or more business domains, mentor team members, work closely with business and product stakeholders, and remain hands-on in solving high-impact analytical problems.

Responsibilities:

• Own the analytics roadmap and priorities for one or more business domains.
• Lead and mentor domain data analysts, providing technical and analytical guidance.
• Work closely with Product, Finance, Risk, and Operations teams to identify business problems and turn them into analytics opportunities.
• Conduct hands-on advanced analytics, modeling, experimentation, and business analysis.
• Develop and oversee dashboards, analytical tools, KPIs, and data products.
• Partner with Data Engineering and AI/ML teams to ensure reliable data, pipelines, and analytical solutions.
• Translate analytical findings into actionable recommendations and support data-driven business decisions.
• Ensure quality, documentation, and governance of analytics within the domain.

Qualifications:

• MSc or PhD in Mathematics, Statistics, Data Science, Computer Science, Industrial Engineering, or a related quantitative field.
• 5+ years of experience in data analytics, BI, data science, or quantitative roles.
• Experience leading or mentoring analytics/data teams.
• Strong knowledge of statistics, probability, and quantitative analysis.
• Strong hands-on skills in Python and SQL.
• Experience with BI tools such as Metabase or Superset.
• Experience with DWH, ETL/ELT, and data modeling.
• Strong business communication and stakeholder management skills.
• Ability to work effectively as both a technical leader and individual contributor.
• Banking or fintech experience is a plus.

Benefits:

• Flexible working hours
• Training courses and professional development opportunities
• Military service project (Limited)
• Supplemental health insurance
• Performance-based bonuses
• Loans
• Lunch subsidies