Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll exe…
Skills: Data Cleaning, Statistical Analysis, Machine Learning, Python, R
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Full-time
Posted 146d ago
~40 hrs/week
Responsibilities
Execute end-to-end predictive validity and outcome studies to demonstrate the business value and ROI of talent assessment solutions for Fortune 500 clients. Manage client data intake, perform complex statistical analyses, and communicate technical findings to business stakeholders.
Requirements
Requires 5+ years of experience in data analysis with strong proficiency in Python, R, SQL, and statistical modeling. A background in I-O psychology, psychometrics, or HR analytics is highly preferred.
Full job description
Job Overview:
We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune 500 clients. You'll execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries.
This role focuses on the end-to-end execution of outcome studies—from client data intake and matching through analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights.
In this role you get to:
Client Data Management
Intake and validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics)
Clean and standardize diverse data formats from enterprise HRIS and ATS systems
Match client candidate records with Harver assessment data with high accuracy
Troubleshoot data quality issues and communicate data requirements to clients
Document data specifications and maintain data integrity throughout analysis lifecycle
Predictive Validity & Outcome Analysis
Execute concurrent & predictive validity studies using established statistical frameworks
Apply machine learning models (Random Forest, XGBoost) to predict performance and attrition outcomes from assessment data
Conduct ROI analyses demonstrating business impact (cost savings, quality of hire improvements)
Perform disparate impact analyses to ensure assessment fairness
Generate client-ready reports and visualizations communicating technical findings to business stakeholders
Technical & Collaboration
Query and analyze data using Looker and SQL from internal databases
Collaborate with Data Scientists on methodology refinement and framework improvements
Support Client Success teams with technical questions and ad-hoc analyses
Maintain analysis documentation and contribute to team knowledge base
Present findings to internal stakeholders and client-facing teams
Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions
Identify custom solutions based on client escalations and build into repeatable process for similar issues in the future
We’re looking for people who have:
5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting
Strong proficiency in data cleaning, transformation, and quality assurance with complicated real-world datasets
Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)
Experience applying machine learning models as a user (model scoring, interpretation, validation)
Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries)
SQL proficiency for data extraction and transformation
Experience utilizing version control tools like GitHub or Bitbucket to manage collaborative repositories (e.g., Python, R, SQL), ensuring a transparent, peer-reviewed, and audit-ready data environment.
Strong communication skills—ability to explain technical concepts to non-technical audiences
Excellent attention to detail and commitment to data accuracy
Self-directed work style with ability to manage multiple client projects simultaneously
Preferred
Background in I-O psychology, psychometrics, or talent assessment (highly valued for facilitating onboarding and understanding assessment validation principles)
Familiarity with psychometric concepts (validity, reliability)and experience evaluating adverse impact
Experience in HR analytics or workforce analytics
Experience with BI tools (Looker, Tableau, Power BI, or similar)
Background working with enterprise clients or in client-facing analytical roles
Knowledge of EEOC guidelines and employment law considerations in assessment validation
Why Join Harver:
Work with Fortune 500 clients on high-impact talent decisions
Collaborate with a senior team of data scientists and engineers
Contribute to cutting-edge work in AI-driven talent assessment
Opportunity to grow into more strategic or technical roles
Location:
Preference for candidates based on the East Coast, with strong preference for Atlanta, GA, Chicago, IL and New Jersey.
Reporting Structure:
This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.
Related keywords
Data SciencePeople AnalyticsHR TechRandom ForestXGBoostRegressionHypothesis TestingCorrelation AnalysisLookerTableauPower BIGitHubBitbucketPsychometricsEEOC GuidelinesHRIS
Better Talent Decisions. Faster. | Hire top talent faster with predictive assessments and automated solutions.
Industry
Software Development
Company size
51-200 employees
Founded
2015
Headquarters
Atlanta, GA
LinkedIn followers
13,716
Total funding
$29M
Harver is the industry-leading hiring solution helping organizations make better talent decisions, faster. Rooted in over 35 years of data insights backed by industrial- organizational psychology and cognitive science, Harver delivers a suite of predictive assessments and automated solutions that enable companies to engage, hire, and develop the right talent quickly and fairly.
With over 100 million candidates processed and more than 1,300 customers worldwide, Harver empowers talent teams to optimize every stage of the hiring journey. Our trusted, science-backed platform includes assessments, video interviews, scheduling, and reference checking—all designed to reduce bias, improve candidate experience, and deliver data-driven insights that strengthen hiring outcomes across the employee lifecycle.
Offices: 1055 Howell Mill Rd NW, 8th Floor, Atlanta, GA 30318, US · Keizergracht 125-127 1015 CJ, Amsterdam, North Holland 1015, NL
Better Talent Decisions. Faster. | Hire top talent faster with predictive assessments and automated solutions.
Industry
Software Development
Company size
51-200 employees
Founded
2015
Headquarters
Atlanta, GA
LinkedIn followers
13,716
Total funding
$29M
Harver is the industry-leading hiring solution helping organizations make better talent decisions, faster. Rooted in over 35 years of data insights backed by industrial- organizational psychology and cognitive science, Harver delivers a suite of predictive assessments and automated solutions that enable companies to engage, hire, and develop the right talent quickly and fairly.
With over 100 million candidates processed and more than 1,300 customers worldwide, Harver empowers talent teams to optimize every stage of the hiring journey. Our trusted, science-backed platform includes assessments, video interviews, scheduling, and reference checking—all designed to reduce bias, improve candidate experience, and deliver data-driven insights that strengthen hiring outcomes across the employee lifecycle.
Offices: 1055 Howell Mill Rd NW, 8th Floor, Atlanta, GA 30318, US · Keizergracht 125-127 1015 CJ, Amsterdam, North Holland 1015, NL