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Popular mid-level data analyst title, metro location, broad technical requirements, and 3–6 years experience increase competition.
Strong analytics skills are transferable, but required business-domain expertise moderately reduces cross-industry fit.
Explicit four-year minimum plus mandatory SQL, BI, statistical tools, and domain knowledge makes screening strict.
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Lead end-to-end data analysis projects that identify business opportunities and influence decision-making through statistical analysis and data visualization.
Integrate, transform, and improve large volumes of structured and unstructured data to enhance business intelligence tools, dashboards, and reporting solutions.
Provide mentorship to peers and maintain alignment with stakeholders to ensure project objectives and data quality standards are met.
Bachelor’s degree or equivalent in scientific discipline, mathematics, applied statistics, information technology, or related field.
Minimum 4 years of experience in data analysis, statistical experimentation, and business problem identification.
Proficiency in statistical analysis tools such as SAS, R, or Python, and advanced SQL or other querying languages.
Experience working with data warehouses, structured and unstructured data, and creating data visualizations using modern BI tools.
Demonstrated leadership in managing and mentoring teams in complex, multi-phase data research projects.
Strong domain knowledge across multiple business areas with a strategic ability to align data insights to business goals.
Experience in developing and documenting technical design standards for data reporting and business intelligence solutions.