Lead Analyst – Data Operations

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Lead Analyst – Data Operations

About the role

The role holder will act as the operational engine that keeps the Data Desk running at pace and to standard, serving as both a technical authority and a people manager, often in the same hour.

The 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.

What you would be expected to do:

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.