Analytical and detail-oriented Data Analyst with a B.E. in Computer Science and 6 years of experience in HR Operations along with Back-Office Operations. Transitioning into technical data roles by combining deep domain k…
Analytical and detail-oriented Data Analyst with a B.E. in Computer Science and 6 years of experience in HR Operations along with Back-Office Operations. Transitioning into technical data roles by combining deep domain knowledge of recruitment lifecycles with advanced skills in Power BI, SQL, and Excel. Proven ability to build end-to-end business intelligence solutions, from data extraction (Power Query) to data modeling (Star Schema) and visualization. Adept at automating manual reporting processes to drive operational efficiency.
Designed an interactive dashboard to track recruitment funnels for the EMEA region to uncover trends in hiring patterns and sourcing channel effectiveness., Extracted data from Workday and Excel trackers; performed data cleansing and transformation using Power Query., Built a Star Schema data model connecting Fact tables (Applications) with Dimension tables (Candidates, Dates, Locations)., Wrote complex DAX measures (CALCULATE, TIME INTELLIGENCE) to calculate Average Time-to-Fill, Offer Acceptance Rate, and Cost-per-Hire., Identified bottlenecks in the 'Interview-to-Offer' stage, enabling a strategy that reduced Time-to-Hire by 15%.
Led end-to-end analysis of recruitment data for the EMEA region, bridging the gap between HR operations and leadership reporting.
Managed the end-to-end recruitment data lifecycle for high-volume hiring within Workday.
Delivered timely, ad hoc recruitment analytics to senior leadership during peak hiring periods, enabling agile, data-backed hiring strategies.
Conducted root-cause analysis on exit interview data to identify trends in employee turnover.
Standardized reporting SOPs for the recruitment coordination team, ensuring data consistency across regions.
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