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Recognizable employer, mid-level generalist data role, hybrid/metro location, broad required skillset increases applicant competition.
Core data engineering skills (SQL, Python, ETL, BI) are highly transferable across industries.
Explicit 3+ years requirement plus mandatory SQL/Python and pipeline/dashboard skills enforce moderate screening.
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Own end-to-end delivery of analytics solutions including data pipelines, automations, and dashboards to support workforce planning, hiring, cost optimization, and operational efficiency.
Partner with cross-functional business stakeholders (Finance, HR, Operations, Technology) to translate requirements into structured data and actionable insights influencing leadership decisions.
Design, maintain, and automate data pipelines ensuring data integrity across multiple enterprise sources and contribute to scaling analytics capabilities within the team.
Bachelor's degree in Computer Science, Information Systems, Business Administration or closely related field.
3+ years of experience in a business analyst or related role focusing on data pipeline building, automation, and dashboard development (Tableau/PowerBI).
2+ years of hands-on experience with SQL, R or Python programming.
Experience Required: Not explicitly mentioned beyond above; Notice Period: Not explicitly mentioned.
Experienced in building scalable data pipelines and automations for data cleaning, validation, and transformation in complex data-centric environments.
Able to operate as a technical thought partner, translating ambiguous business problems into structured analytics frameworks and measurable outputs.
Capable of managing multiple complex data projects simultaneously and collaborating effectively with both technical and non-technical stakeholders.