Nov 2023 – Dec 2025 · 2 yrs 1 mo · Los Angeles Metropolitan Area · Remote

• Originally joined the centralized data team supporting product and business analytics, then transitioned into People Data due to an org restructure while maintaining full-stack analytics work.
• Analyzed attrition patterns across tenure, role changes, manager shifts, and compensation to surface key drivers, influencing leadership actions that contributed to ~10% lower attrition.
• Delivered workforce growth insights as headcount scaled from ~400 to ~1,100+, analyzing hiring velocity, team composition, and retention trends to support planning and resource decisions.
• Built core data models, pipelines, and metrics definitions in Snowflake, dbt, SQL, Python, and Looker to support People, Finance, and business leaders.
• Designed a unified “360 employee profile” data model by integrating systems like Lattice, Greenhouse, UKG, and HiBob, enabling consistent reporting across functions.
• Created self-serve dashboards and LookML models from scratch, driving real time insights into lifecycle funnels, process performance, and operational bottlenecks.
• Automated recurring workflows and reporting (board decks, talent workflows, event/show-rate tracking), reducing manual effort and improving data reliability.
• Partnered across HR, Recruiting, Finance, Ops, Talent Acquisition(TA) to translate ambiguous business questions into structured analytical outputs and actionable insights.

Jan 2020 – Nov 2023 · 3 yrs 10 mos · Greater Los Angeles Area

• Worked in the F2P (Free to Play) mobile gaming division. 🕹️
• Conducted cohort, funnel, and retention analyses that improved first-time user completion rates by ~25%.
• Analyzed user behavior and monetization patterns, uncovering opportunities that contributed to a ~10% increase in monthly revenue.
• Built Tableau dashboards used by product, growth, and executive teams to track live game KPIs.
• Worked on User Acquisition marketing campaigns to measure ROAS, CPI, and LTV to direct efforts.
• Created event schemas used for analytics to track metrics, user behavior, store purchases, and other important data.

Jan 2018 – Jan 2020 · 2 yrs · Gardena, CA

• Analyzed data to identify user drop off points, user flow, game-cheating behavior, new feature performance, sales, and other metrics.
• Created and maintained Power BI dashboards to track KPIs and other significant metrics for multiple products.
• Analysis with Google Analytics to monitor and analyze web traffic trends, referrals, campaign performance, and email marketing.
• Automated data extraction with Python from various APIs (Google, Unity, Facebook, Instagram, Twitter) and used SSIS to create databases from resulting data sets.
• Responsible for presenting actionable insights clearly and concisely based on data analysis to stakeholders.
• Created SQL queries to calculate various metrics such as retention rates, daily active users, subscription conversion rates, etc.
• Used Python, SQL, and Excel (Power Query/Power Pivot) for data analysis, wrangling, and cleaning.

Mar 2017 – Dec 2017 · 9 mos · Long Beach, CA

• Used SQL and Microsoft Access to ensure data integrity prior to facilitating $42m in doctor payments.
• Analyzed Medicaid and Medicare claims to ensure they followed state definitions and payment amounts.
• Automated initial analysis of healthcare member reimbursements using Excel VBA and improved efficiency by 50%.
• Led and trained new hires on protocol and team projects.

Apr 2015 – Mar 2017 · 1 yr 11 mos · Long Beach, CA

• Coordinated with multiple departments to ensure payment project met government deadlines.
• Generated payment reports using SQL/Excel for state health plan audits.
• Created SharePoint tracker that allowed representatives to update status resulting in 95% of items being resolved.

Nov 2014 – Feb 2015 · 3 mos · Los Angeles, CA

Jun 2014 – Nov 2014 · 5 mos · Pasadena, CA

Apr 2013 – May 2014 · 1 yr 1 mo · Los Angeles, CA