Resume

Keegan Johnson

Senior Data Scientist | Business Intelligence | Analytics Engineering

Houston, TX · keeganjohnson89@gmail.com · 346-526-9293
LinkedIn · GitHub

Professional summary

Senior data scientist and business intelligence professional with 10+ years of experience in statistical modeling, enterprise analytics, and data engineering. Develops predictive models, automated data pipelines, and decision-ready reporting with SQL, Python, R, Snowflake, and Power BI/Tableau. MS in Economics with advanced econometrics training and a record of translating ambiguous business questions into measurable results.

Technical skills

Analytics: Survival analysis, panel regression, nonlinear modeling, time-series forecasting, experimental design and regression-based evaluation, data quality.

Data and BI: SQL, Python, R, Snowflake/Snowpark, dbt, Fivetran SDK, Power BI, DAX, Tableau, Git, SQL Server, Azure.

HR technology: Workday reporting, UKG Pro (UltiPro), iCIMS, SAP, PeopleSoft.

Professional experience

Post Holdings (via Kforce) — Senior Data Scientist, HR

Kountze, TX | Mar 2026 – Oct 2026

  • Developed four Python attrition models (Cox proportional hazards, AFT survival, and two probit specifications) using panel and current-state workforce data; integrated modeling workflows with Snowpark and visualized retention risk in Tableau.
  • Designed and maintained five enterprise Tableau dashboards for recruiting, headcount, overtime, and predictive analytics, using warehouse-backed datasets, calculated metrics, and interactive reporting.
  • Engineered an automated iCIMS-to-Snowflake ELT pipeline using Python, Fivetran SDK, and SQL to integrate recruiting data for repeatable enterprise reporting.
  • Developed SQL-based data quality and reconciliation workflows in Snowflake, resolving source inconsistencies, joins, refresh issues, and metric calculation differences across six business units.
  • Translated business definitions into reusable SQL transformations and new or modified dbt models; contributed Git changes through peer-reviewed merges with enterprise data engineering.

Terminix (Rentokil) — Senior Analyst (Contract), HR

Kountze, TX | Feb 2025 – May 2025

  • Restored and relaunched recruitment analytics dashboards; improved Power BI semantic models, report reliability, and Workday-supported HR reporting; modernized technical structure to Fabric framework.
  • Collaborated with HR stakeholders to troubleshoot recruitment reporting issues and improve consistency of talent acquisition metrics.

LyondellBasell — Senior Data Analyst, HR

Houston, TX | Mar 2024 – Sep 2024

  • Led global employee survey Power BI deployment, from stakeholder requirements and governance through release and adoption.
  • Modernized workforce planning, DEI, and employee relations analytics; partnered with five cross-functional councils on reporting usability.

Catapult Learning — Data Scientist, HR

Kountze, TX | Apr 2022 – Nov 2023

  • Replaced manual, Excel-based monthly HR KPI reporting with a Power BI semantic model and automated dashboards, reducing manual reporting effort by 80%.
  • Standardized KPI definitions and reporting logic, transforming fragmented spreadsheets into reusable measures and self-service workforce analytics.

Leidos — Data Scientist, HR

Kountze, TX | Apr 2021 – Mar 2022

  • Built workforce forecasting, DEI, and executive reporting solutions; partnered with recruiters to develop job-title and skills taxonomies for workforce gap analysis and reskilling.
  • Developed rules- and keyword-based matching approaches for resume and applicant skill classification, supporting recruiting and learning analytics.
  • Used Workday reporting data to support enterprise talent strategy and leadership reporting.

Nokia Siemens — Senior Data Scientist, People Analytics

Budapest, Hungary | Jun 2019 – Apr 2021

  • Developed econometric and survival models of employee attrition, identifying commute distance as a retention signal and informing remote-work planning; supported survey design and regression-based evaluation of employee pulse results.
  • Integrated workforce planning and predictive analytics into enterprise data structures to support retention analysis.

Northrop Grumman — Data Scientist, HR & Shared Services

Los Angeles, CA | May 2014 – Sep 2017

  • Developed multivariate time-series forecasting models using vector autoregression (VAR) and cointegration analysis to inform staffing demand and operational scheduling decisions.
  • Built workforce analytics tables and reporting datasets with database administrators using Oracle PeopleSoft and Microsoft Access; supported Tableau reporting and data access controls.

Independent project

Open Workforce Analytics Standard (OWAS) — Developing an open, reproducible framework for HR metric definitions, workforce stock/flow measurement, source harmonization, and analytics architecture. Current research compares ISO, SHRM, BLS, GRI, and data-governance approaches; work is research-stage.

Education

University of North Texas — Master of Science, Economics (2013–2015)
University of North Texas — Bachelor of Science, Economics (2008–2012)

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