| Location | India |
| Years of Experience | 9 years of experience |
| Commitment | Permanent - Full Time |
| Role | Global Analytics and Technology |
| Remote | See job post for details |
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Job Description
Job location: Remote
About the role:
Sun King is looking for a practitioner-leader to serve as Lead Analyst on the Data Desk. Reporting directly to the Head of Data Operations, you are the operational engine that keeps the Data Desk running at pace and to standard. You are both a technical authority and a people manager, often in the same hour.
Your mandate has three pillars: keep the queue healthy, automate the repeatable tasks, and ensure that nothing inaccurate leaves the team. You manage the flow of incoming L1/L2 requests, perform 100% of code reviews for entry-level analysts, and systematically convert recurring requests into self-service dashboards — effectively working the Data Desk out of a job, one repeat ticket at a time.
The ideal candidate is someone who takes pride in operational precision, finds satisfaction in growing junior talent, and has the SQL depth to catch a subtle logic error in a peer’s query.
The team you would join:
The Global Analytics and Technology function at Sun King helps us build technology-enabled solutions based on data-driven insights. We have a team of data scientists, data engineers, analysts, technical architects, Android developers, web designers, backend engineers, product managers, and UI/UX developers working on developing cutting-edge solutions for the underserved billions — covering last-mile delivery, credit underwriting, credit risk management, distribution channel digitization, churn management, and more.
Within this function, the Data Operations team runs the Data Desk, the squad that fields, triages, and resolves the organization’s day-to-day data requests while simultaneously working to automate itself out of repetitive work. The team also serves as a Data Academy: Sun King’s internal residency for elite data talent.
Sun King number of job openings over time by month
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