Senior Data Analyst (Financial Services)

About the Role

We are looking for a Senior Data Analyst who builds automated data workflows that explain results, not just dashboards that show numbers.

• Design analytics workflows that automatically explain why performance goes up or down
• Break down campaign or product results from multiple angles in one run
• Summarize insights and key drivers for business and product teams
• Enable teams to ask questions and receive structured, data-backed explanations automatically, with optional AI/LLM support

Responsibilities

• Own analytics for assigned financial product(s) by building automated analysis workflows that explain performance changes end-to-end
• Design workflows that automatically break down performance questions (e.g., identify whether revenue drops are due to volume, conversion, pricing, customer mix, channel performance, or campaign impact)
• Build reusable analytical frameworks to analyze performance across product, customer segment, channel, time, and behavior dimensions and produce structured insights
• Develop workflows that summarize campaign and experiment results from multiple angles (e.g., uplift, segment impact, sustainability, side effects)
• Partner with engineers and data scientists to integrate analytics outputs with AI/LLM tools that generate insight summaries, explanations, or highlights
• Embed automated insight workflows into regular product, campaign, and performance review processes
• Mentor analysts to design systems and workflows that continuously generate insights and move the team away from ad-hoc reporting

Qualifications

• 5+ years of experience in data analytics or product analytics
• Strong SQL and Python skills, with experience building automated or reusable analytical workflows
• Ability to structure root-cause and performance analysis in a systematic way
• Experience in financial services or data-heavy products is a plus
• Familiarity with AI / LLM, data science, or applied machine learning is a plus

Benefits

• High-growth tech environment with strong focus on scalability and automation
• Real impact on financial services products and business strategy
• Collaborative, data-driven culture