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Orian Betoncur

@orianbetoncur2

I’m a Senior People Data Analyst who turns workforce data into trusted, actionable insights for leadership.

United States
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What I'm looking for

I’m looking for a team where I can build scalable people analytics pipelines and dashboards, improve forecasting and retention insights with modeling, and grow a self-serve analytics culture that leaders trust.

I’m a people analytics data leader with 14 years of experience building scalable workforce insights that help senior leaders make confident decisions. I focus on transforming complex HR data into metrics people can trust and actions people can take.

At Anchor StackTech, I built end-to-end people data pipelines in Python to unify HR sources and improve data quality and processing efficiency by 52%. I automated workflows using Celery to cut manual reporting interventions by 50%, and I delivered KPI dashboards in Tableau for headcount, turnover, time to fill, and cost per hire. I also improved headcount forecasting accuracy by 18% with time series models and ensured GDPR compliance by passing 3 internal audits.

At Apexoft, I applied R (tidyverse, ggplot2, Shiny) and SQL to strengthen HRBP decision accuracy by 30% and reduced unwanted attrition by 15% year over year using benchmark analysis. I built self-serve dashboards in Shiny and Power BI used by 10+ internal teams, while streamlining SQL and indexing on MySQL and MongoDB to cut report generation time by 25%. I mentored analysts on statistical analysis and data visualization, improving team productivity by 40%.

Earlier, I developed workforce reporting and automation with Python, Django, and PostgreSQL, including regression modeling to identify turnover drivers and improve retention strategy accuracy by 20%. I also built real-time dashboards and APIs for operational visibility, enforced security for sensitive PII, and supported high reliability through automated testing and CI/CD. I hold an AWS Certified Solutions Architect – Associate certification.

Experience

Work history, roles, and key accomplishments

AS

Senior People Data Analyst

Anchor StackTech

Nov 2023 - Feb 2026 (2 years 3 months)

Built end-to-end people data pipelines in Python to unify HR sources, improving data quality and processing efficiency by 52%. Automated Celery workflows, delivered people metrics dashboards in Tableau, improved headcount forecasting accuracy by 18%, and passed 3 internal GDPR audits.

AP

Senior Data Analyst (People)

Apexoft

Jan 2020 - Aug 2023 (3 years 7 months)

Used R (tidyverse, ggplot2, Shiny) and SQL to improve HRBP decision accuracy by 30% and reduce unwanted attrition by 15% YoY. Built self-serve dashboards used by 10+ teams, streamlined MySQL/MongoDB queries to cut report generation time by 25%, and established a trusted source of truth across HRIS/ATS/survey tools.

VG

Data Analyst (Workforce)

Veritas Group

Nov 2018 - Oct 2019 (11 months)

Developed internal people reporting and automation tools with Python, Django, and PostgreSQL, increasing HR workflow efficiency by 50%. Built regression models to improve retention strategy accuracy by 20%, refined Celery/Redis pipelines to deliver monthly reports with 99.9% uptime, and enabled real-time workforce metrics via REST APIs used by 50+ managers/HRBPs.

OP

Data Analyst

OptionDash

Nov 2016 - Apr 2018 (1 year 5 months)

Improved high-volume HR data processing efficiency by 35% using SQL Server and Azure, optimizing EF Core queries and Redis caching to reduce critical report query response times by 44%. Built and secured real-time workforce dashboards with SignalR/WebSockets, integrated 5+ internal people systems via REST APIs, and reduced incident response time by 25% while containerizing applications with Docker

Education

Degrees, certifications, and relevant coursework

AS

Amazon Web Services

AWS Certified Solutions Architect – Associate, AWS

2022 - 2025

Earned the AWS Certified Solutions Architect – Associate certification (Aug 2022 to Aug 2025).

Texas A&M University logoTU

Texas A&M University

Bachelor’s Degree in Data Science, Data Science

2012 - 2016

Earned a Bachelor’s degree in Data Science at Texas A&M University from May 2012 to Aug 2016.

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