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People Analytics Analyst Resume Example

Written by JobScoutly Career Team

Free ATS-optimized people analytics analyst resume example with professional summary, experience bullets, education, and skills. Use this as a starting point and build yours free with JobScoutly.

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Rachel Kim

People Analytics Analyst

email@example.com · (555) 123-4567 · City, ST

Professional Summary

People analytics analyst with 3 years of experience using data to improve hiring, retention, and workforce planning. Built dashboards and models that reduced employee turnover by 20% and saved $500K in annual recruiting costs. Proficient in SQL, Python, Tableau, and Workday.

Experience

People Analytics Analyst

Jul 2024 – Present

TechForward Inc. · Seattle, WA

  • Build and maintain HR analytics dashboards in Tableau tracking headcount, turnover, diversity, and engagement metrics for 3,000+ employees
  • Developed attrition prediction model using logistic regression, identifying flight-risk employees 90 days in advance with 80% accuracy
  • Analyzed hiring funnel data revealing bottleneck at technical interview stage, informing process changes that reduced time-to-hire by 10 days
  • Partnered with compensation team to build pay equity analysis framework, ensuring compliance across 5 protected categories

HR Data Analyst

Jan 2023 – Jun 2024

GrowthWorks · Portland, OR

  • Created quarterly workforce planning reports for leadership team, forecasting headcount needs across 8 departments
  • Analyzed employee engagement survey data (2,000+ responses) and presented actionable findings to CHRO and department heads
  • Automated new hire reporting and onboarding analytics using Workday Report Writer, replacing 5 manual Excel processes

Education

M.S. Industrial-Organizational Psychology — Portland State University

2022

B.A. Psychology — University of Oregon

2020

Skills

SQLPythonTableauWorkdayPeople AnalyticsAttrition ModelingPay Equity AnalysisWorkforce PlanningSurvey AnalysisExcelHRIS Reporting

Why this resume works

  • I-O Psychology degree gives credibility in people analytics that pure data analysts don't have — employers value domain expertise here
  • Covers the full people analytics spectrum: attrition, hiring funnel, pay equity, engagement, and workforce planning
  • Shows both HRIS technical skills (Workday) and advanced modeling (logistic regression) bridging HR tech and data science
View all Data Analyst resume examples

Key Skills for a People Analytics Analyst Resume

Include these skills on your people analytics analyst resume — but only the ones you actually have. ATS systems scan for exact keyword matches from the job description.

SQL Python Excel Tableau Power BI Google Analytics R Data Modeling ETL A/B Testing Statistical Analysis BigQuery Looker Jira

Not sure which skills to include? JobScoutly's Job Match Analyzer compares your resume to any job description and tells you exactly which keywords are missing.

ATS Tips for People Analytics Analyst Resumes

Over 90% of large companies use Applicant Tracking Systems to filter resumes before a human sees them. Follow these tips to make sure your people analytics analyst resume gets through:

  1. List specific BI tools by name: Tableau, Power BI, Looker, Google Data Studio
  2. Include SQL as a primary skill — it's the #1 requirement in data analyst job descriptions
  3. Show business impact, not just technical tasks: 'saved $X' beats 'wrote SQL queries'
  4. Mention the size of datasets you've worked with to signal scale

Common People Analytics Analyst Resume Mistakes to Avoid

  • Writing 'analyzed data' without specifying what kind of data, what tools, or what the outcome was
  • Not including SQL prominently — it's expected in virtually every data analyst role
  • Omitting visualization and presentation skills
  • Forgetting to mention cross-functional collaboration

People Analytics Analyst Resume FAQ

What is the most important skill for a data analyst resume?
SQL. It appears in virtually every data analyst job description and is the primary filter for most hiring managers. List it as your first skill and demonstrate it in your experience bullets. Python and a BI tool (Tableau or Power BI) round out the essential trio.
Should I include Excel on my data analyst resume?
Yes, but specify your level. Basic Excel adds no value — everyone has it. List advanced capabilities: pivot tables, VLOOKUP/INDEX-MATCH, Power Query, VBA macros, or financial modeling. If you primarily work in SQL and Python, Excel can be listed but shouldn't dominate your skills section.
How do I stand out as a data analyst with no experience?
Lead with projects: build a portfolio of 2-3 data analysis projects using public datasets (Kaggle, government data, sports data). Include the SQL queries, visualizations, and insights you generated. Employers care about demonstrated analytical thinking more than job titles.
Should I list Tableau or Power BI on my resume?
List whichever you've used, or both if applicable. Check the job description — some companies are firmly in the Tableau camp, others use Power BI. If you only know one, you can learn the other quickly since the concepts transfer. Also consider listing Looker, Metabase, or Sigma if relevant.
How technical should a data analyst resume be?
Match the job description. Some analyst roles lean toward SQL and dashboards; others expect Python, statistical modeling, and data engineering skills. A good rule: lead with business impact and weave in technical details. 'Built customer segmentation using K-means clustering in Python' shows both capability and context.
What is the difference between a data analyst and data scientist resume?
Data analyst resumes emphasize SQL, dashboards, reporting, and business insights. Data scientist resumes emphasize machine learning, statistical modeling, Python, and production model deployment. If you're targeting analyst roles, focus on how your analysis drove business decisions rather than model accuracy metrics.

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