Senior Data Analyst leveraging data to drive customer acquisition and retention strategies. Working with Marketing, Growth, and CX teams at Novo to enhance customer lifetime value and engagement.
About the role
- Data Analyst leveraging data science and AI engineering at a fintech company to optimize operations and enhance customer outcomes. Key responsibilities include automation, demand analytics, and KPI development.
Responsibilities
- Use Python and LLM APIs to design and deploy automation that replaces manual CS/FS processes.
- Build prototypes, test with real operations data, and scale the successful ones into production workflows.
- Partner with PMs and engineers to operationalise AI-driven solutions across Operations.
- Analyse key operations demand drivers and identify levers to reduce avoidable demand.
- Build clear, robust KPI frameworks and translate data into commercial insight.
- Work directly with Ops Directors and senior leadership on strategic initiatives and own analytics for high-impact projects.
Requirements
- 1-3 years of hands-on experience using SQL and Python in a professional setting
- Highly numerate with strong analytical reasoning
- Ability to independently structure analysis, build prototypes, and deliver insights.
- Experience communicating data-driven recommendations to non-technical business stakeholders.
- Nice-to-Haves: experience with dbt or modern data stacks, familiarity with LLMs and APIs, exposure to product, strategy, or operations environments.
Benefits
- Best-in-class compensation, including equity
- Work from home every Monday and Friday if you wish
- Fully stocked kitchen with breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday
- Coverage for private health insurance
- Equal-opportunity employer and commitment to inclusivity
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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