Lead Analyst, Data Operations

Ticket Routing & Triage: Own the incoming request queue and serve as the first point of triage for all L1/L2 tickets raised to the Data Desk. Accurately categorize every request across the four tracks (Logic, Exports, Ops, and Finance) and route to the appropriate pod lead or analyst without delay. Monitor SLA performance across the queue in real time; proactively surface blockers to the Head of Data Ops before SLAs are breached. Maintain and continuously refine the triage playbook, updating categorization rules as request patterns evolve and new ticket types emerge.

Automation of the Routine: Systematically identify “repeat” requests and flag them for automation. Work closely with Pod Leads to scope, design, and ship self-service dashboards and automated data pipelines that retire those recurring requests. Coordinate with the Analytics Engineering pod to ensure all automated outputs conform to Sun King data quality and governance standards.

Technical Supervision & Code Review: Perform 100% of code reviews for entry-level analysts before any output is delivered to a business stakeholder. Review SQL, LookML, and dashboard logic for correctness, performance, and alignment with the Sun King Data Standard.

Team Operations & People Development: Run daily stand-ups for the Data Desk team, keeping the team aligned on priorities and unblocked on active tickets. Conduct regular 1-on-1s with direct reports, tracking progress against individual growth plans agreed with the Head of Data Ops. Onboard new Freshers into the Data Desk’s processes, tooling, and quality standards as part of the Data Academy rotation curriculum. Represent the Data Desk in cross-functional ceremonies — sprint reviews, stakeholder check-ins — when the Head of Data Ops is unavailable.

Education: Bachelor’s or Master’s degree in a technical field such as Computer Science, Data Science, Statistics, or a related discipline.

Professional Experience: 4–9 years of experience in a data, analytics, or data operations function with at least 1–2 years in a role with direct responsibility for reviewing, mentoring, or managing junior data analysts. A track record of translating recurring manual work into automated or self-service solutions.