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Mid-level generalist data analytics role in metro with broad skills required, causing high applicant competition.
Core data analytics and engineering skills are highly transferable across industries; healthcare is only a plus.
Moderate mandatory skills (SQL/Python, PowerBI, Azure) plus explicit 3+ years requirement.
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Design and develop robust data pipelines and ETL processes for seamless data integration into cloud data warehouses or data lakes.
Conduct advanced data analysis, modeling, and machine learning to solve complex business problems and deliver actionable insights.
Collaborate with stakeholders and cross-functional teams to align data solutions with business objectives and present findings through clear visualizations and reports.
Minimum 3 years of experience working with Business Intelligence solutions.
Proficient in SQL, R, Python or other scripting languages for data retrieval and manipulation.
Experience with cloud technologies, preferably Azure.
Experience building reports using PowerBI (preferred) or Tableau or similar reporting tools.
Experienced in integrating advanced analytics and machine learning with engineering excellence in large datasets.
Collaborative and able to work cross-functionally with data engineering, product management, and business stakeholders.
Experience or interest in healthcare domain and familiarity with enterprise data models, including relational and NoSQL databases.