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Senior Data Analyst

OutMatch, Inc. · Atlanta, GA - Hybrid, Atlanta, GA, United States · Hybrid · Active · Rippling ATS

Job facts

FieldValue
CompanyOutMatch, Inc.
TitleSenior Data Analyst
Normalized title-
Department / teamPeople Science – Customer
LocationAtlanta, GA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerRippling ATS
Posted / first seen2026-03-04 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from OutMatch, Inc..Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Atlanta.Open
Department jobsActive postings in People Science – Customer.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyOutMatch, Inc.
Source88f69f9e-db86-4c5e-b04f-9d32010b94db
ATS providerRippling ATS

Description

company About Harver Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company’s portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work. At Harver, we are: Transparent: We believe in fostering an open, honest, and accountable environment where information flows freely and clearly. Collaborative: We embrace the power of collaboration and recognize that every individual brings unique strengths to the table. Curious: We embrace curiosity as a driving force for continuous learning and innovation. role 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 location. 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.

Full job record

Job ID937643b4d38d9456c4d071fbf70026578ea9c219
Org IDbaaaa547-a758-4eae-8828-9c4ba999bc6a
Source ID88f69f9e-db86-4c5e-b04f-9d32010b94db
Board ID88f69f9e-db86-4c5e-b04f-9d32010b94db
Providerrippling
Provider Job Key05d41449-e96b-43a9-9add-7c6fb97deb29
TitleSenior Data Analyst
Normalized Title
Statusactive
Activeyes
Location TextAtlanta, GA - Hybrid, Atlanta, GA, United States
DepartmentPeople Science – Customer
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionGA
CityAtlanta
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://ats.rippling.com/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29
Apply URLhttps://ats.rippling.com/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29
First Seen At2026-05-29 07:16:27Z
Last Seen At2026-06-06 08:44:47Z
Last Checked At2026-06-06 08:44:47Z
Last Changed At2026-06-06 08:44:47Z
Inactive At
Source Posted At2026-03-04 02:57:36Z
Source Updated At
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Event Fields
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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Job Overview:</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">We're&nbsp;seeking a Senior Data Analyst to join our Data Science team, where&nbsp;you'll&nbsp;play a critical role in&nbsp;demonstrating&nbsp;the business value of our talent assessment solutions to Fortune 500 clients.&nbsp;You'll&nbsp;execute predictive validity studies and outcome analyses that prove ROI for major enterprise clients across various industries.&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">This role focuses on the end-to-end execution of outcome studies—from client data intake and matching through&nbsp;analysis&nbsp;delivery.&nbsp;You'll&nbsp;work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights.&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">In this role you get to:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><i><em style=\"font-size:11pt;white-space:pre-wrap;\">Client Data Management</em></i><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Intake and&nbsp;validate&nbsp;client outcome data (performance, retention, hiring funnel,&nbsp;demographic,&nbsp; productivity&nbsp;metrics)&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Clean and standardize diverse data formats from enterprise HRIS and ATS systems&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Match client candidate records with Harver assessment data with high accuracy&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Troubleshoot data quality issues and communicate data requirements to clients&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Document data specifications and&nbsp;maintain&nbsp;data integrity throughout analysis lifecycle&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><i><em style=\"font-size:11pt;white-space:pre-wrap;\">Predictive Validity &amp; Outcome Analysis</em></i><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Execute&nbsp;concurrent &amp;&nbsp;predictive validity studies using established statistical frameworks</span><span style=\"color:windowtext;font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Apply machine learning models (Random Forest,&nbsp;XGBoost) to&nbsp;predict&nbsp;performance and attrition outcomes from assessment data&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Conduct ROI analyses&nbsp;demonstrating&nbsp;business impact (cost savings, quality of hire improvements)&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Perform disparate impact analyses to ensure assessment fairness&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Generate client-ready reports and visualizations communicating technical findings to business stakeholders&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><i><em style=\"font-size:11pt;white-space:pre-wrap;\">Technical &amp; Collaboration</em></i><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Query and analyze data using Looker and SQL from internal databases&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Collaborate with Data Scientists on&nbsp;methodology&nbsp;refinement and framework improvements&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Support Client Success teams with technical questions and ad-hoc analyses&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Maintain analysis documentation and contribute to team knowledge base&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Present findings to internal stakeholders and client-facing teams&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Strategic collaboration with People Science team to improve efficiency and effectiveness of solutions&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Identify&nbsp;custom solutions based on client escalations and build into repeatable process for similar issues in the future&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">We’re&nbsp;looking for people who have:&nbsp;</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">5+ years of experience in data analysis, preferably in HR tech, people analytics, or consulting&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Strong&nbsp;proficiency&nbsp;in data cleaning, transformation, and quality assurance with&nbsp;</span><span style=\"background-color:rgba(209,209,209,0.5);font-size:11pt;white-space:pre-wrap;\">complicated</span><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;real-world datasets&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Solid statistical foundation (regression, hypothesis testing, correlation analysis, model evaluation metrics)&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Experience applying machine learning models as a user (model scoring, interpretation, validation)&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Proficiency&nbsp;in&nbsp;</span><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">both Python and R</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;for data analysis (pandas,&nbsp;dplyr, data visualization libraries)&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">SQL&nbsp;proficiency&nbsp;for data extraction and transformation&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Experience&nbsp;utilizing&nbsp;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.</span><span style=\"color:windowtext;font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Strong communication&nbsp;skills—ability to explain technical concepts to non-technical audiences&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Excellent attention to detail and commitment to data accuracy&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Self-directed work style with ability to manage multiple client projects simultaneously&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><i><em style=\"font-size:11pt;white-space:pre-wrap;\">Preferred</em></i><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Background in I-O psychology, psychometrics, or talent assessment</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">&nbsp;(highly valued for&nbsp;facilitating&nbsp;onboarding and understanding assessment validation principles)&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Familiarity with psychometric concepts (validity,&nbsp;reliability)and&nbsp;experience evaluating adverse impact&nbsp;</span><span style=\"color:windowtext;font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Experience in HR analytics or workforce analytics&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Experience with BI tools (Looker, Tableau, Power BI, or similar)&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Background working with enterprise clients or in client-facing analytical roles&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Knowledge of EEOC guidelines and employment law considerations in assessment validation&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Why Join Harver</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">:</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Work with Fortune 500 clients on high-impact talent decisions&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Collaborate with a senior team of data scientists and engineers&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Contribute to&nbsp;cutting-edge&nbsp;work in AI-driven talent assessment&nbsp;</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Opportunity to grow into more strategic or technical roles&nbsp;</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Location</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">:</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Preference for candidates based on the East Coast, with strong preference for&nbsp;Atlanta&nbsp;location.&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Reporting Structure</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">:</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">This role reports to the Data Science Manager and works closely with a team of senior data scientists, Client Success, and Product teams.&nbsp;</span></p>",
      "company": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About Harver</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"white-space:pre-wrap;\">Harver is the industry leading hiring solution helping organizations optimize their talent decisions. Rooted in over 35 years of rich data insights, the company’s portfolio of solutions enables organizations to make the best talent decisions across the entire employee lifecycle. Having processed over 100 million candidates, Harver provides trusted, flexible, and adaptable offerings making hiring better, faster, and fundamentally more fair. More than 1,300 customers trust Harver to help put purpose to work.  &nbsp;&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">At Harver, we are:&nbsp;</span><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Transparent: </strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">We believe in fostering an open, honest, and accountable environment where information flows freely and clearly. </span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Collaborative:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> We embrace the power of collaboration and recognize that every individual brings unique strengths to the table. </span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Curious: </strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\">We embrace curiosity as a driving force for continuous learning and innovation. </span></li></ul>"
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          "name": "Do you have experience in I/O Psychology?"
        },
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            "questions": [
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                "title": "Please provide your compensation range or expectations:",
                "canEdit": false,
                "dataType": "Text",
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                "uniqueKey": "a854cd34-92b3-43f7-8fe4-8784380d3c82",
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          "name": "Compensation Request"
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    },
    "hasAIEvaluationsEnabled": true,
    "eeocQuestionnaireEnabled": true,
    "applicationConfirmationTemplate": "64ccf3c47997ca7b659c7416",
    "eeocQuestionnaireEnabledForJobPost": true
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  "detail_meta": {
    "url": "https://ats.rippling.com/api/v2/board/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29",
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}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/937643b4d38d9456c4d071fbf70026578ea9c219?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/baaaa547-a758-4eae-8828-9c4ba999bc6aJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/88f69f9e-db86-4c5e-b04f-9d32010b94dbJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/937643b4d38d9456c4d071fbf70026578ea9c219/eventsJSON