
Anuja Pandey
@anujapandey1
I build Power BI reporting solutions that turn business data into actionable insights.
What I'm looking for
I've built Power BI reporting solutions for Pandora, Nordea, PepsiCo, and Reckitt Benckiser, translating operational and business data into clear insights for stakeholders.
At Pandora Copenhagen, I designed and enhanced dashboards for global IT portfolio performance, automated report refreshes with Power Query, and reduced manual processing time by roughly 50%.
At Nordea and PepsiCo, I developed integrated, scalable Power BI reports across multiple data sources, business logic, geographies, portfolios, and sales channels. I've also supported report adoption through user training, documentation, change management, and access-rights design.
I use SQL, Python, Power Query, Excel, Tableau, and Power BI to validate data, monitor pipelines, troubleshoot discrepancies, and turn business requirements into analytical solutions.
Experience
Work history, roles, and key accomplishments
Designed and enhanced interactive Power BI dashboards for global stakeholders, ran data validation and quality checks, and automated reporting processes to cut manual processing time by roughly 50%.
Translated business requirements into technical requirements for Asset Management reporting, developed scalable Power BI reports, and managed change and user adoption through training and documentation.
Led development of comprehensive Power BI reports with complex data sources and business logic, and migrated Tableau reports to Power BI.
Designed and implemented Power BI solutions, fetched data from various sources, and implemented DAX queries to deliver complex reporting needs.
Gained functional expertise in translating business needs into IT solutions, analyzed architectural designs, and performed data loads and SQL query reporting.
Education
Degrees, certifications, and relevant coursework
RSU University
Bachelor of Science, Computer Science
Bachelor in computer science from RSU University, Bhilai, India, with relevant coursework in software engineering, data structures, database management, data analytics, and application program interfaces.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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