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Mid-level demand but specialized Looker BI skills narrow applicant pool.
Looker, SQL and cloud BI skills are broadly transferable across industries despite preferred vertical experience.
Explicit 5+ years and 3+ years Looker requirement plus mandatory SQL/BigQuery/Python skills.
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Develop, optimize, and maintain Looker BI solutions including LookML modeling, dashboards, and explores to drive data insights.
Manage large-scale data operations using GCP, BigQuery, and other cloud data warehouses with ETL design and data workflow automation.
Lead analytics projects end-to-end, implement data governance and security policies in Looker, and communicate insights to technical and non-technical stakeholders.
5+ years of relevant experience with strong analytical and BI development skills.
3+ years hands-on experience with Looker (LookML development, dashboards, explores).
Proficiency in SQL, BigQuery, Python, and experience with Google Cloud Platform or other cloud-based data warehouses.
Bachelor’s or Master’s degree in math, statistics, economics, computer engineering, or related analytics field.
Experienced in data modeling and business intelligence with proven performance tuning expertise in Looker environments.
Capable of managing client projects end-to-end with strong problem-solving skills and the ability to communicate complex findings effectively.
Familiar with version control systems (Git) for LookML and has domain knowledge in Retail, Media, Aviation, or Sports for an analytics consulting context.