Senior Data Analyst

The DGM – Analytics leads the analytics function end to end: a team of analysts, the partnership with business and leadership, and the search for where the business can grow next. 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.
Key Responsibilities
Team leadership
Lead, mentor and grow a team of analysts; set clear goals, review work quality and build a strong 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.
Stakeholder management and leadership partnership
Act as the primary analytics partner to business heads and senior leadership, translating business questions into analytical problems.
Present insights, recommendations and trade-offs to leadership in clear, decision-ready form.
Manage expectations, timelines and competing priorities across multiple stakeholders.
Gap identification and business scaling
Proactively diagnose gaps in performance, processes, funnels, customer experience and data availability.
Identify and size opportunities to scale the business, such as new segments, channels, products, pricing levers and efficiency gains.
Turn findings into prioritized action plans with owners, metrics and expected impact, and track them to closure.
Analytics strategy and governance
Own the analytics roadmap and align it with business goals.
Establish KPI frameworks, dashboards and single sources of truth for decision-making.
Drive data quality, governance and adoption of self-serve analytics across the organization.
Hands-on delivery
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).
Evaluate and introduce tools, automation and best practices that raise the team's productivity.
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.
Demonstrated impact: examples of growth, revenue, cost or efficiency gains driven by analytics.
Experience in fintech is an advantage.
Skills and Competencies
Technical
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).
Solid grounding in statistics, forecasting, experimentation and predictive modelling.
Familiarity with data warehouses, cloud platforms and modern data stacks.

Work arrangement
No