This is a senior, high-visibility role for someone who can shape strategy at the leadership table and still go deep on the data when needed.
set clear goals, review work quality and build a robust talent pipeline.
Define the team's operating rhythm: prioritization, project intake, review standards and documentation.
Develop analysts' technical depth and business thinking through coaching, feedback and stretch assignments.
Proactively diagnose gaps in performance, processes, funnels, customer experience and data availability.
Own the analytics roadmap and align it with business goals.
Drive data quality, governance and adoption of self-serve analytics across the organization.
Work independently on complex analyses, from framing the problem and querying data to modelling and storytelling, without waiting for direction.
Guide the use of advanced techniques (statistical modelling, forecasting, segmentation, experimentation, ML where it adds value).
Qualifications and Experience
- Bachelor's degree in Engineering, Statistics, Mathematics, Economics or a related field; an MBA or master's in a quantitative discipline is preferred.
- 6–8 years of experience in analytics, business intelligence or data science, with a prior experience of leading teams of analysts.
- Proven track record of partnering with senior leadership and influencing business decisions with data.
- Experience in fintech is an advantage.
Strong command of SQL and at least one analytics language (Python or R); able to build and review hands-on analyses.
Expertise in BI and visualization tools (Power BI, Tableau, Looker or similar).
Familiarity with data warehouses, cloud platforms and modern data stacks.