Lead Analyst: Data Operations – Sun King
Job Purpose
To act as the operational and technical engine of the Data Desk by managing request queues, performing mandatory code reviews, automating routine data tasks, and mentoring junior analysts to ensure high data accuracy, operational precision, and scalable self-service solutions.
Roles & Responsibilities
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Ticket Routing & Triage: Own the incoming request queue, triage L1/L2 tickets across Logic, Exports, Ops, and Finance tracks, monitor real-time SLA performance, and refine the triage playbook.
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Automation of Routine Tasks: Identify repeat requests, collaborate with pod leads to ship self-service dashboards and automated data pipelines, and ensure compliance with company data quality and governance standards.
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Technical Supervision & Code Review: Conduct 100% of code reviews for entry-level analysts, evaluating SQL, LookML, and dashboard logic for performance, correctness, and adherence to company data standards.
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Team Operations & People Development: Facilitate daily stand-ups, conduct regular 1-on-1s, track growth plans, onboard new analysts via the Data Academy rotation, and represent the team in cross-functional ceremonies.
Qualifications
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Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related technical discipline.
Skills, Experience & Competences
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4 to 9 years of experience in a data, analytics, or data operations function, including 1 to 2 years with direct responsibility for reviewing, mentoring, or managing junior data analysts.
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Strong hands-on SQL skills and working knowledge of BI semantic layers (such as LookML, Looker, Tableau, Power BI, or Metabase).
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Familiarity with AWS-based data environments and a proven track record of converting manual work into automated, self-service solutions.
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Exceptional leadership, communication, and coaching abilities with a passion for operational precision and talent development.