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Mid-level generalist data analyst in metros with broad skill requirements and 3–7 year band increases competition.
Core analytics skills (SQL, BI, Python) transfer easily across industries.
Explicit 3–7 years, mandatory SQL and BI tool skills impose moderate screening.
Design, build, and maintain business dashboards, reports, and data models to support decision-making.
Write and optimize SQL queries on enterprise data platforms, ensuring data accuracy and governance compliance.
Collaborate with cross-functional business and technical teams to translate requirements into actionable analytical solutions and present insights clearly to stakeholders.
3–7 years of relevant experience in Data Analytics or BI.
Advanced proficiency in SQL and experience with at least one BI/visualization tool such as Power BI, Tableau, or Qlik.
Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Engineering) or equivalent practical experience.
Work Experience Required: 3–7 years relevant in Data Analytics or BI.
Strong experience working directly with business stakeholders to shape and deliver analytical solutions.
Technical proficiency spanning SQL, BI tools, and scripting languages like Python, facilitating end-to-end data analytics workflows.
Experience or interest in advanced BI features, data modeling, data quality engineering, or analytics leadership indicative of higher strategic engagement.