Data Analyst specializing in Healthcare industry using HL7 FHIR and Azure Health Data Services. Collaborating across organization and conducting data analysis for healthcare interoperability.
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
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Not specified
Degree requirement
Tech skills
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