Product Automation Analyst
BVNK
full-time
Posted on:
Location Type: Hybrid
Location: Karnataka • India
Visit company websiteExplore more
About the role
- Develop a deep understanding of our digital products, customer behaviour, and business objectives - translating these into measurable, data-informed decisions
- Collect, clean, and analyse data using SQL, Python, R, and AI/LLM-based tools to surface key insights and opportunities
- Document business requirements in an articulate manner, utilising bank tools for product governance and implementation
- Synthesize user feedback, requirements and research artefacts into actionable insights
- Apply AI-powered visualisation tools (such as vibe coding tools) to transform findings into intuitive, interactive visuals and review-ready code
- Partner with product managers, engineers, and designers to ensure insights are embedded early in the product lifecycle and supported by sound data instrumentation
- Build and maintain analytics frameworks, experiments, and A/B testing pipelines to measure feature performance and validate hypotheses
- Create automated reporting and alerting systems using low-code or AI-assisted tools for faster, real-time product monitoring, where necessary to provide benefits of delivered solutions
- Present analytical findings and recommendations to senior stakeholders using compelling, data-backed stories, enhanced by LLM-generated narratives and visuals, where appropriate
- Collaborate with QA and engineering teams to validate data integrity and ensure production readiness
- Monitor post delivery metrics and engagement channels to ensure deliverables continue to operate problem free
- Use Large Language Models (e.g. ChatGPT, Gemini, Copilot) to: automate exploratory data analysis and summarization; generate dashboards, narrative reports and data driven visuals
Requirements
- Advanced proficiency in SQL and knowledge of the suite of programming languages that could be used in a modern technology stack
- Experience with LLMs and AI-enhanced workflows, such as using ChatGPT, Copilot, or Google Gemini for data interpretation, documentation, and storytelling
- Skilled in data visualisation tools (Looker, Tableau, Power BI, Observable) and comfortable integrating AI-generated visuals into reporting
- Understanding of data pipelines, event tracking, APIs, and experimentation frameworks
Benefits
- Full onboarding support and continued development opportunities
- Options for flexible working
- Regular social activities
- Pension contributions
- Discretionary bonus scheme
- Private health cover
- Life assurance
- Family friendly policies including enhanced Maternity & Paternity leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRAI toolsdata analysisdata visualizationA/B testingdata pipelinesevent trackingAPIs
Soft Skills
communicationcollaborationanalytical thinkingproblem-solvingstorytelling