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Tier-1 brand, mid-level generalist title, metro location, and 5-year experience amplify competition.
Data skills are transferable, but product telemetry and cybersecurity context raise domain specificity.
Explicit 5-year requirement plus mandatory SQL and BI tooling increases filtering strictness.
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Lead development and maintenance of complex reports, dashboards, and data models to deliver actionable insights influencing leadership decisions.
Act as liaison between data teams and stakeholders, translating ambiguous business questions into structured analyses and presenting data-driven recommendations.
Manage data analytics projects end-to-end, collaborating cross-functionally for timely, high-quality deliverables and participate in all phases of data product lifecycle.
Minimum 5 years of experience in data analytics with proven track record leading data projects.
Proficiency in SQL with ability to write and troubleshoot complex queries involving joins, aggregations, subqueries, and CTEs.
Experience with at least one enterprise BI tool (e.g., Tableau, Power BI) for creating dashboards and reports.
Advanced spreadsheet skills including pivot tables, lookup/index-match, conditional logic, and data cleanup techniques.
Experienced in transforming raw data into clear, actionable narratives for business decision-making and leadership engagement.
Skilled at managing end-to-end analytics projects and collaborating cross-functionally across business and product teams.
Familiar with cloud data platforms (e.g., Snowflake or Databricks) and data quality governance practices; exposure to product telemetry analysis or statistical programming (Python) preferred but not mandatory.