





Remote mid-level data role at known brand with broad SQL/BI requirements, high applicant density.
Core skills (SQL, BI tooling, data ops processes) are broadly transferable across industries.
Explicit 4–9 years plus mandatory SQL, LookML, AWS, and management responsibilities raises strictness to high.
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Own and manage the incoming L1/L2 data request queue, triaging and routing tickets to appropriate teams, while monitoring and maintaining SLA performance in real time.
Perform 100% code reviews for entry-level analysts, ensuring accuracy and data quality standards across SQL, LookML, and dashboards before delivery.
Lead efforts to automate recurring data requests via self-service dashboards and data pipelines, reducing manual workload on the Data Desk over time.
4–9 years in data, analytics, or data operations roles, with at least 1–2 years in managing or mentoring junior analysts.
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related technical field.
Strong hands-on SQL expertise plus working knowledge of BI tools or layers (LookML, Looker, Tableau, Power BI, Metabase).
Experience with AWS-based data environments or similar cloud data infrastructure.
Experienced in both operational management and technical leadership within a data desk or analytics team environment.
Proven track record of streamlining operations by converting repetitive manual data requests into automated, self-service solutions.
Demonstrates ability to maintain high operational precision, mentoring junior talent, and ensuring data quality and governance compliance in a fast-paced setting.