Home › Companies › OutMatch, Inc. › Senior Data Analyst
Senior Data Analyst
OutMatch, Inc. · Atlanta, GA - Hybrid, Atlanta, GA, United States · Hybrid · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | OutMatch, Inc. |
| Title | Senior Data Analyst |
| Normalized title | - |
| Department / team | People Science – Customer |
| Location | Atlanta, GA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-03-04 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from OutMatch, Inc.. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Atlanta. | Open |
| Department jobs | Active postings in People Science – Customer. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | OutMatch, Inc. |
| Source | 88f69f9e-db86-4c5e-b04f-9d32010b94db |
| ATS provider | Rippling 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 ID | 937643b4d38d9456c4d071fbf70026578ea9c219 |
| Org ID | baaaa547-a758-4eae-8828-9c4ba999bc6a |
| Source ID | 88f69f9e-db86-4c5e-b04f-9d32010b94db |
| Board ID | 88f69f9e-db86-4c5e-b04f-9d32010b94db |
| Provider | rippling |
| Provider Job Key | 05d41449-e96b-43a9-9add-7c6fb97deb29 |
| Title | Senior Data Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Atlanta, GA - Hybrid, Atlanta, GA, United States |
| Department | People Science – Customer |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | GA |
| City | Atlanta |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29 |
| Apply URL | https://ats.rippling.com/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29 |
| First Seen At | 2026-05-29 07:16:27Z |
| Last Seen At | 2026-06-06 08:44:47Z |
| Last Checked At | 2026-06-06 08:44:47Z |
| Last Changed At | 2026-06-06 08:44:47Z |
| Inactive At | — |
| Source Posted At | 2026-03-04 02:57:36Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=careers-at-harver/date=2026-06-06/2026-06-06T08-44-47-378Z-edd2a6ad878b295698cf6a7d1e302396c745c52bb5d0116198d867e3bdb07ff8.json |
Event Fields
{
"content_hash": "99b31c1f803d70b5cfb19d18d46f963f26da54dce7b65c95620935fd2dc4f2b6",
"source_hash": "7d5efeeee8e71c4aae8caed0874fd3c0128c30bb8347e8805f8911bfa90cedac",
"last_changed_at": "2026-06-06T08:44:47.989Z",
"active_status": "active"
}Parsed Structured
{
"language": "en-us",
"location": {
"raw": "Atlanta, GA - Hybrid, Atlanta, GA, United States",
"city": "Atlanta",
"region": "GA",
"country": "United States",
"is_remote": false,
"confidence": 0.98,
"workplace_type": "hybrid"
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T08:44:47.986Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en-us",
"location": {
"raw": "Atlanta, GA - Hybrid, Atlanta, GA, United States",
"city": "Atlanta",
"region": "GA",
"country": "United States",
"is_remote": false,
"confidence": 0.98,
"workplace_type": "hybrid"
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": null,
"workplace_type": "hybrid",
"salary_currency": null
}Extensions
{}Native Structured
{
"list_job": {
"id": "05d41449-e96b-43a9-9add-7c6fb97deb29",
"url": "https://ats.rippling.com/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29",
"name": "Senior Data Analyst",
"language": "en-US",
"locations": [
{
"city": "Atlanta",
"name": "Atlanta, GA - Hybrid",
"state": "GA",
"country": "United States",
"stateCode": null,
"countryCode": "US",
"workplaceType": "HYBRID"
}
],
"department": {
"name": "People Science – Customer"
}
},
"detail_job": {
"url": "https://ats.rippling.com/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29",
"name": "Senior Data Analyst",
"uuid": "05d41449-e96b-43a9-9add-7c6fb97deb29",
"board": {
"logo": {
"url": "https://prod-images.rippling.com/dfa84ab598dcaaf3ac6877c22fba81c6221996f5.jpeg?Expires=1780821887&Signature=d8jzpWLnXouP1BBT~tZ2JFDqpamQUzLbfTBsjlV3Yl1CpE2HEPLNylqxP~EeCmKYEeUoopO22cbfiVAwOCjy552Nun0F07P0ALARmy20iqPLtTT3tO~dzx5zA8oTANKrSbMGRucGDksIS84K~UOcCZpN6rVBhWaAl8dlCCY~tnnOD4QExaidvROOcI5LVKq4nEMGdUVBDDPyAHMY9sBf9PCviDUGv-oIsq0YUeHxbey3XFGegvB6UZcLKuQm6tbuX4fPvXBzzy5yKv634L~3jjMaLX5R194Vc-y1oojTqsOaLHwvBHrzCP9M4p5qx9GizxPxabcM8PgwNK7g7BFI3Q__&Key-Pair-Id=K2Y26R2ZPP26PH",
"name": "harver-logo-256x256.jpg",
"type": "image/jpeg"
},
"slug": "careers-at-harver",
"title": "Job openings",
"banner": {
"url": null,
"name": "",
"type": ""
},
"boardURL": "https://ats.rippling.com/careers-at-harver/jobs",
"fontType": "VERDANA_SANS_SERIF",
"subtitle": "Here are our current job openings. Please click on the job title for more information, and apply from that page if you are interested.\n",
"boardType": "RIPPLING",
"linkColor": null,
"buttonColor": null,
"legalNotice": null,
"buttonTextColor": null,
"noOpeningsMessage": null,
"groupJobsByLocation": false,
"showBoardLogoOnJobPost": false,
"showCompanyInfoUnderJobPost": false
},
"createdOn": "2026-03-03T18:57:36.638000-08:00",
"department": {
"name": "People Science – Customer",
"base_department": "People Science – Customer",
"department_tree": [
"People Science – Customer"
]
},
"companyName": "OutMatch, Inc.",
"description": {
"role": "<meta><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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 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. </span></p><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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 analysis delivery. You'll work with established frameworks and tools while applying strong analytical thinking to translate complex data into compelling client insights. </span></p><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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;\"> </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 validate client outcome data (performance, retention, hiring funnel, demographic, productivity metrics) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 maintain data integrity throughout analysis lifecycle </span></li></ul><p style=\"font-family:"Basel Grotesk",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 & Outcome Analysis</em></i><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 concurrent & predictive validity studies using established statistical frameworks</span><span style=\"color:windowtext;font-size:11pt;white-space:pre-wrap;\"> </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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, XGBoost) to predict performance and attrition outcomes from assessment data </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 demonstrating business impact (cost savings, quality of hire improvements) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><p style=\"font-family:"Basel Grotesk",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 & Collaboration</em></i><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 methodology refinement and framework improvements </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 custom solutions based on client escalations and build into repeatable process for similar issues in the future </span></li></ul><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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 looking for people who have: </strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 proficiency in data cleaning, transformation, and quality assurance with </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;\"> real-world datasets </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 in </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;\"> for data analysis (pandas, dplyr, data visualization libraries) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 proficiency for data extraction and transformation </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 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.</span><span style=\"color:windowtext;font-size:11pt;white-space:pre-wrap;\"> </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 skills—ability to explain technical concepts to non-technical audiences </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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;\"> (highly valued for facilitating onboarding and understanding assessment validation principles) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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, reliability)and experience evaluating adverse impact </span><span style=\"color:windowtext;font-size:11pt;white-space:pre-wrap;\"> </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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) </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 cutting-edge work in AI-driven talent assessment </span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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 </span></li></ul><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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:"Basel Grotesk",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 Atlanta location. </span></p><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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:"Basel Grotesk",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. </span></p>",
"company": "<meta><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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. </span></p><p style=\"font-family:"Basel Grotesk",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:"Basel Grotesk",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: </span><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> </span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",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>"
},
"workLocations": [
"Atlanta, GA - Hybrid"
],
"employmentType": {
"id": "Salaried, full-time",
"label": "SALARIED_FT"
},
"payRangeDetails": [],
"activeJobApplication": {
"basicQuestions": [
{
"oid": "first_name",
"title": "First name",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "last_name",
"title": "Last name",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "email",
"title": "Email",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "pronouns",
"title": "Pronouns",
"required": false,
"fieldType": "PRONOUN"
},
{
"oid": "current_company",
"title": "Current company",
"required": false,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "phone_number",
"title": "Phone number",
"required": true,
"fieldType": "PHONE_NUMBER"
},
{
"oid": "location",
"title": "Location (city only)",
"required": true,
"fieldType": "SHORT_ANSWER"
},
{
"oid": "resume",
"title": "Resume",
"required": true,
"fieldType": "FILE"
},
{
"oid": "cover_letter",
"title": "Cover letter",
"required": false,
"fieldType": "FILE"
}
],
"customQuestions": {
"fields": [
{
"oid": "first_name",
"title": "First name",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "last_name",
"title": "Last name",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "email",
"title": "Email",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "pronouns",
"title": "Pronouns",
"required": false,
"fieldData": {},
"fieldType": "PRONOUN"
},
{
"oid": "current_company",
"title": "Current company",
"required": false,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "phone_number",
"title": "Phone number",
"required": true,
"fieldData": {},
"fieldType": "PHONE_NUMBER"
},
{
"oid": "location",
"title": "Location (city only)",
"required": true,
"fieldData": {},
"fieldType": "SHORT_ANSWER"
},
{
"oid": "resume",
"title": "Resume",
"required": true,
"fieldData": {},
"fieldType": "FILE"
},
{
"oid": "cover_letter",
"title": "Cover letter",
"required": false,
"fieldData": {},
"fieldType": "FILE"
}
]
},
"additionalQuestions": [
{
"id": "69ba028c60b43a3755b5fb7f",
"form": {
"sections": [],
"questions": [
{
"tags": [],
"title": "Do you live within commutable distance to the our office in Midtown, Atlanta and willing to commute into office three times a week?",
"canEdit": false,
"dataType": "select",
"isPrivate": false,
"uniqueKey": "3bafc859-b65c-4e7c-be47-974423f199df",
"intChoices": [],
"isRequired": true,
"strChoices": [
"Yes",
"No"
],
"description": "",
"questionType": "KNOCKOUT",
"allowComments": false,
"isOtherEnabled": false,
"isMultiSelectEnabled": true
}
],
"skipLogic": [],
"deletedSections": [],
"deletedQuestions": []
},
"name": "Atlanta location filter"
},
{
"id": "69ba028c60b43a3755b5fb80",
"form": {
"sections": [],
"questions": [
{
"tags": [],
"title": "Are you legally authorized to work in the US?",
"canEdit": false,
"dataType": "select",
"isPrivate": false,
"uniqueKey": "894b34c4-372a-4db5-bb1e-317b7d0e7409",
"intChoices": [],
"isRequired": true,
"strChoices": [
"Yes",
"No"
],
"description": "",
"questionType": "KNOCKOUT",
"allowComments": false,
"isOtherEnabled": false,
"isMultiSelectEnabled": true
}
],
"skipLogic": [],
"deletedSections": [],
"deletedQuestions": []
},
"name": "Are you legally authorized to work in the US?"
},
{
"id": "69ba028c60b43a3755b5fb81",
"form": {
"sections": [],
"questions": [
{
"tags": [],
"title": "Will you now or in the future require sponsorship to work in the US?",
"canEdit": false,
"dataType": "select",
"isPrivate": false,
"uniqueKey": "d25dba1e-ffb2-4f67-8abe-581b4dd170a9",
"intChoices": [],
"isRequired": true,
"strChoices": [
"yes",
"no"
],
"description": "",
"questionType": "KNOCKOUT",
"allowComments": false,
"isOtherEnabled": false,
"isMultiSelectEnabled": true
}
],
"skipLogic": [],
"deletedSections": [],
"deletedQuestions": []
},
"name": "Do you require sponsorship to work in the US?"
},
{
"id": "69ba028c60b43a3755b5fb82",
"form": {
"sections": [],
"questions": [
{
"tags": [],
"title": "Do you have experience in I/O Psychology?",
"canEdit": false,
"dataType": "select",
"isPrivate": false,
"uniqueKey": "c9372a1a-69d6-46ab-be8c-25567342196a",
"intChoices": [],
"isRequired": true,
"strChoices": [
"Yes",
"No"
],
"description": "",
"questionType": "KNOCKOUT",
"allowComments": false,
"isOtherEnabled": false,
"isMultiSelectEnabled": true
}
],
"skipLogic": [],
"deletedSections": [],
"deletedQuestions": []
},
"name": "Do you have experience in I/O Psychology?"
},
{
"id": "69ba028c60b43a3755b5fb83",
"form": {
"sections": [],
"questions": [
{
"tags": [],
"title": "Please provide your compensation range or expectations:",
"canEdit": false,
"dataType": "Text",
"maxChars": 100,
"isPrivate": false,
"uniqueKey": "a854cd34-92b3-43f7-8fe4-8784380d3c82",
"intChoices": [],
"isRequired": true,
"strChoices": [],
"description": "",
"questionType": "SHORT_ANSWER",
"allowComments": false,
"isOtherEnabled": false,
"isMultiSelectEnabled": false
}
],
"skipLogic": [],
"deletedSections": [],
"deletedQuestions": []
},
"name": "Compensation Request"
}
]
},
"hasAIEvaluationsEnabled": true,
"eeocQuestionnaireEnabled": true,
"applicationConfirmationTemplate": "64ccf3c47997ca7b659c7416",
"eeocQuestionnaireEnabledForJobPost": true
},
"detail_meta": {
"url": "https://ats.rippling.com/api/v2/board/careers-at-harver/jobs/05d41449-e96b-43a9-9add-7c6fb97deb29",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 33848
},
"detail_errors": []
}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=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/baaaa547-a758-4eae-8828-9c4ba999bc6aJSONGET https://api.bluedoor.sh/job-postings/v1/sources/88f69f9e-db86-4c5e-b04f-9d32010b94dbJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/937643b4d38d9456c4d071fbf70026578ea9c219/eventsJSON