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Mid-level, metro location, common data analyst title, and broad skillset increase competition.
Core SQL and BI skills are broadly transferable across industries, though domain knowledge helps.
Explicit 5+ years plus mandatory BigQuery, Power BI, DAX and BI tooling make filters strict.
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Own the full analytics lifecycle from problem definition, data engineering, modeling, visualization to project management for diverse clients.
Drive data preparation, cleaning, transformation, and automation to ensure reliable and timely delivery of data for reports and dashboards.
Develop interactive dashboards and reports to provide actionable, data-driven recommendations enabling client decision-making.
Minimum 5+ years experience in Business Intelligence or Data Analytics.
Bachelor's or Master's degree in Data Science, Statistics, Business Analytics, or related field.
Advanced proficiency in SQL, preferably Google BigQuery; hands-on experience with MS Power BI, DAX, and Power Query.
Familiarity with cloud platforms, preferably Google Cloud.
Experienced in handling end-to-end analytics projects with operational ownership and client impact focus.
Technical proficiency spanning data engineering foundations through advanced BI visualization and statistical analysis.
Comfortable collaborating cross-functionally and integrating AI/ML solutions into analytics workflows.