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Metro-based mid-senior analytics role with common SQL/Python/Tableau skills increases applicant density.
Core analytics skills transfer across industries, though consulting/client-facing experience moderately narrows fit.
Explicit 6–10 years plus mandatory SQL, Python, PySpark, and Tableau enforce strict pre-filters.
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Deliver scalable data analytics solutions and generate actionable business insights across client engagements.
Develop and execute data analytics frameworks to evaluate business and operational performance.
Create interactive dashboards and reports using Tableau or Power BI for self-service analytics and support data-driven decision-making.
6-10 years of experience in data analytics or related roles, preferably consulting or client-facing.
Bachelor’s or Master’s degree in Statistics, Mathematics, Engineering, Economics, or related quantitative field.
Strong proficiency in SQL, Python, and PySpark for data manipulation and large-scale data processing.
Hands-on experience with Tableau or Power BI for data visualization.
Experienced in delivering client-focused analytics solutions within consulting or similar environments.
Able to translate complex data analyses into clear, actionable recommendations for diverse stakeholders.
Skilled in managing multiple projects simultaneously in fast-paced, cross-functional team settings.