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Mid-level, popular data/BI role with broad skillset requirements increases applicant competition.
Data engineering and BI skills are broadly transferable across industries, so background sensitivity is low.
Explicit 3+ years and mandatory BI, ETL, governance, and cloud skills create moderate filtering.
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Design, develop, and maintain scalable data models, data warehouses, and ETL/ELT pipelines to support enterprise reporting and analytics.
Build business intelligence reports using Power BI and Tableau to deliver actionable insights.
Implement data quality, governance, security, and access management practices while collaborating with stakeholders and supporting cloud-based data modernization efforts.
Bachelor's degree in Computer Science, IT, Data Science, Engineering, or related field.
3+ years experience in data engineering, business intelligence, analytics, or related data platform roles.
Experience with data modeling, data warehousing, ETL/ELT pipelines, and reporting tools like Power BI and Tableau.
Experience working with cloud-based data platforms such as Azure and implementing data security and governance frameworks.
Experienced in designing scalable data solutions that integrate multiple data sources and support enterprise analytics.
Familiar with AI-powered tools and analytics platforms to enhance data workflows and automate tasks.
Comfortable translating business requirements into technical solutions within cloud and modern data architecture environments.