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Metro location, mid-level (4–5yrs), broad analytics skillset, and strong employer brand increase applicant competition.
Core analytics, BI, ETL and Python skills are highly transferable across industries and sectors.
Explicit 4–5 year requirement plus mandatory Power BI, Power Apps, Python, SQL and ETL skills tighten filters.
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Lead design, development, and maintenance of advanced Power BI data models, dashboards, and integrated analytics solutions.
Build and optimize Power Apps and Power Automate workflows, and implement Python-based data automation pipelines.
Collaborate with cross-functional teams to translate business needs into scalable data reporting, automation, and analytics, ensuring data quality and governance.
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field.
4–5 years of experience in data analyst or analytics engineering roles in a business environment.
Advanced proficiency in Power BI (data modeling, DAX, performance optimization), Power Apps, Power Automate, and Python for automation.
Experience with ETL processes from systems like SAP and SharePoint; working knowledge of SQL and GitHub.
Experienced in fast-paced, project-driven environments with multiple short-term projects (1-2 months) and ability to prioritize effectively.
Strong technical skills in integrated analytics solutions using Microsoft Power Platform and Python with understanding of enterprise data architectures.
Able to leverage and adapt existing frameworks for new business problems and collaborate effectively across technical and business teams.