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.
<p>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%.</p>
<p>Led end-to-end analysis of recruitment data for the EMEA region, bridging the gap between HR operations and leadership reporting.<br>
Managed the end-to-end recruitment data lifecycle for high-volume hiring within Workday.<br>
Delivered timely, ad hoc recruitment analytics to senior leadership during peak hiring periods, enabling agile, data-backed hiring strategies.<br>
Conducted root-cause analysis on exit interview data to identify trends in employee turnover.<br>
Standardized reporting SOPs for the recruitment coordination team, ensuring data consistency across regions.</p>
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