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Remote posting, generalist mid-level data role, strong brand and broad BI/SQL/Python skills increase applicant competition.
Core analytics, SQL, Python, and BI skills are highly transferable across industries.
Explicit 4-7 years plus mandatory SQL, Python, and BI tooling increases filter rigidity.
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Analyze large, complex data sets to identify trends and insights addressing business challenges and opportunities.
Perform statistical modeling, data aggregation, and insight development across various business areas.
Manage projects/processes independently and coach/review work of junior professionals.
Education: Bachelor Degree in Engineering; Masters Degree in Statistics (Business or Technical) with exposure to statistics.
Experience: 4 to 7 years in analytics, consulting, project management, or equivalent experience preferred.
Technical skills: Proficiency with statistical tools, SQL, Python, PowerBI DAX/M Query, SAS, and business intelligence tools (Alteryx, PowerBI, Qlik, Tableau).
Knowledge of cloud platforms (AWS, Azure) and relational/non-relational data stores (SQL Server, Oracle, DB2).
Experienced with advanced statistical analysis and modeling in a business or technical setting.
Capable of independent project management and mentoring junior team members in complex problem-solving.
Familiar with Agile/Lean DevOps environments and cloud-based data ecosystems relevant to enterprise data analytics.