Lead Analyst- Data Operations

You would be a strong candidate if you:

• Hold a bachelor’s or Master’s degree in a technical field such as Computer Science, Data Science, Statistics, or a related discipline.
  
• Possess 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.
  
• Demonstrate strong hands-on SQL skills, working knowledge of LookML or equivalent BI layer logic (Looker, Tableau, Power BI, Metabase), and familiarity with AWS-based data
  

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.