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Metro location, generalist mid-level data title, broad BI/SQL/Python requirements, and known analytics employer increase competition.
BI, SQL, and Python skills are highly transferable across industries.
Explicit years plus mandatory SQL, BI tools, and Python prerequisites raise filter strictness.
Design, build, and maintain dashboards, reports, and data models to support business decision-making across multiple domains.
Write and optimize complex SQL queries on enterprise data platforms, ensuring data accuracy and governance compliance.
Collaborate with cross-functional stakeholders to translate business requirements into actionable analytical solutions and present insights effectively.
3–7 years of relevant experience in Data Analytics, BI, Data Engineering, or Data Science.
Advanced SQL skills including complex joins, CTEs, window functions, and query performance optimization.
Proficiency in at least one BI/visualization tool such as Power BI, Tableau, or Qlik.
Bachelor's or Master's degree in a quantitative field (Computer Science, Statistics, Engineering, or related) or equivalent practical experience.
Experienced in managing stakeholder relationships to shape and deliver analytical solutions.
Skilled in multi-disciplinary data skills including dashboard development, data modeling, data quality, or analytics tailored to client needs.
Comfortable working with large enterprise data platforms and collaborating across business, engineering, product, and compliance teams.