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Strong brand, remote option, mid-level (4–5y), metro location, and broad skillset increase applicant competition.
Analytics, Power BI, Python and ETL skills are widely transferable across industries, so low sensitivity.
Explicit 4–5 year requirement plus mandatory Power BI, Power Apps, Python, SQL and ETL skills make shortlisting strict.
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Lead design, development, and maintenance of advanced Power BI data models, dashboards, and integrated analytics solutions across business functions.
Build and optimize data automation workflows using Power Apps, Power Automate, and Python, including ETL processes from multiple data sources such as SAP and SharePoint.
Collaborate with cross-functional teams to translate business requirements into scalable data analytics, ensure data quality and governance, and manage both short project cycles and ongoing solution maintenance.
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field.
4–5 years of hands-on experience in data analyst or analytics engineering roles within a business environment.
Advanced proficiency in Power BI (data modeling, DAX, performance optimization), Power Apps, Power Automate, Excel, Power Query, Python, and working knowledge of SQL and GitHub.
Experience with data extraction, transformation, loading (ETL) from enterprise systems like SAP and SharePoint.
Experienced in handling fast-paced, short-cycle analytics projects (1–2 months), capable of managing multiple priorities effectively.
Strong expertise in implementing integrated analytics solutions leveraging reusable frameworks and cross-domain data.
Comfortable collaborating with technical and business stakeholders to translate complex requirements into operational analytics and automation solutions.