Remote Human Resources Data Analyst Jobs
Remote Human Resources Data Analyst jobs are in active demand across the U.S., with remote-first firms and distributed enterprise teams regularly posting openings in sectors like technology, healthcare, and financial services. Employers hiring remotely right now include Iterative Health, Zillow, and ISS World. See the openings below and apply to the ones that match your experience.
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Showing 5 of 11+ Remote Human Resources Data Analyst jobs
Description
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
- Entity: Corporate
-
Department: PennDNA Data Mgmt and Ops
- Location: Remote based out of 3535 Market Street. Philadelphia, PA
- Hours: 8hr Days
Summary:
The Lead Data Engineer- People will be responsible for leading the design, development, and implementation of data engineering solutions to support our data-driven initiatives. This role requires a strong background in data engineering, cloud technologies, and technical leadership, with proven experience in delivering scalable and robust data platforms in a healthcare or research environment.
Responsibilities:
- Data Integration and Processing: Lead the design and architecture of scalable and reliable data pipelines to ingest, process, and transform large volumes of healthcare data from diverse sources, including electronic health records (EHR), clinical systems, research databases, and external data feeds. Evaluate and recommend appropriate data technologies, platforms, and tools to optimize data processing, performance, and cost-effectiveness.
- ETL/ELT Development: Coordinate and lead the build and optimization of ETL/ELT processes and work within Cloud technology such as AWS, Azure and/or Databricks to ensure efficient data extraction, transformation, and loading while maintaining data quality, consistency, and integrity. Collaborate with a variety of stakeholders across the organization, including senior leaders, to understand data requirements and translate them into effective ETL/ELT solutions that meet organizational goals.
- Cloud Infrastructure and Technologies: Implement and maintain cloud-based data platforms and services, leveraging technologies such as Azure and Databricks. Design and deploy data solutions using cloud-native services to support advanced analytics, machine learning, and data visualization initiatives.
- Data Governance and Security: Guide the establishment and enforcement of data standards, data governance policies, and best practices to ensure the accuracy, completeness, consistency and integrity of healthcare data. Implement data monitoring, validation, and lineage tracking mechanisms to ensure compliance with regulatory requirements and organizational data governance policies, including definitional and quality standards.
- Project Management: Independently manage moderately complex projects from concept to execution, coordinating with other PennDnA teams as needed.
- Collaboration: Build relationships with PennDnA and client stakeholders, including senior leaders. Collaborate with cross-functional teams to understand business needs and develop solutions that align with organizational goals. Help set the team’s direction, contributing to team strategy and roadmap. Continuous Improvement: Stay current with industry trends, best practices, and emerging technologies. Lead continuous improvement for data engineering. Contribute to a culture of performance excellence.
Education or Equivalent Experience:
- Bachelor of Arts or Science Computer Science, Information Systems, or related field (Required)
- And 6+ years' Experience in data engineering, database management, or related roles, with significant experience in managing complex projects. Proven track record of independently leading projects from concept to execution, coordinating with cross-functional teams, as needed. (Required)
- Master of Arts or Science Computer Science, Information Systems, or related field (Preferred)
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.
Description
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
- Entity: Corporate
-
Department: PennDNA Data Mgmt and Ops
- Location: Remote based out of 3535 Market Street. Philadelphia, PA
- Hours: 8hr Days
Summary:
The Lead Data Engineer- People will be responsible for leading the design, development, and implementation of data engineering solutions to support our data-driven initiatives. This role requires a strong background in data engineering, cloud technologies, and technical leadership, with proven experience in delivering scalable and robust data platforms in a healthcare or research environment.
Responsibilities:
- Data Integration and Processing: Lead the design and architecture of scalable and reliable data pipelines to ingest, process, and transform large volumes of healthcare data from diverse sources, including electronic health records (EHR), clinical systems, research databases, and external data feeds. Evaluate and recommend appropriate data technologies, platforms, and tools to optimize data processing, performance, and cost-effectiveness.
- ETL/ELT Development: Coordinate and lead the build and optimization of ETL/ELT processes and work within Cloud technology such as AWS, Azure and/or Databricks to ensure efficient data extraction, transformation, and loading while maintaining data quality, consistency, and integrity. Collaborate with a variety of stakeholders across the organization, including senior leaders, to understand data requirements and translate them into effective ETL/ELT solutions that meet organizational goals.
- Cloud Infrastructure and Technologies: Implement and maintain cloud-based data platforms and services, leveraging technologies such as Azure and Databricks. Design and deploy data solutions using cloud-native services to support advanced analytics, machine learning, and data visualization initiatives.
- Data Governance and Security: Guide the establishment and enforcement of data standards, data governance policies, and best practices to ensure the accuracy, completeness, consistency and integrity of healthcare data. Implement data monitoring, validation, and lineage tracking mechanisms to ensure compliance with regulatory requirements and organizational data governance policies, including definitional and quality standards.
- Project Management: Independently manage moderately complex projects from concept to execution, coordinating with other PennDnA teams as needed.
- Collaboration: Build relationships with PennDnA and client stakeholders, including senior leaders. Collaborate with cross-functional teams to understand business needs and develop solutions that align with organizational goals. Help set the team’s direction, contributing to team strategy and roadmap. Continuous Improvement: Stay current with industry trends, best practices, and emerging technologies. Lead continuous improvement for data engineering. Contribute to a culture of performance excellence.
Education or Equivalent Experience:
- Bachelor of Arts or Science Computer Science, Information Systems, or related field (Required)
- And 6+ years' Experience in data engineering, database management, or related roles, with significant experience in managing complex projects. Proven track record of independently leading projects from concept to execution, coordinating with cross-functional teams, as needed. (Required)
- Master of Arts or Science Computer Science, Information Systems, or related field (Preferred)
Live Your Life's Work
We are an Equal Opportunity employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.
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Find JobsRemote Human Resources Data Analyst Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote human resources data analyst jobs.
- Proficiency in SQL for querying and manipulating large HR datasets
- Experience with HRIS platforms such as Workday, SAP SuccessFactors, or Oracle HCM
- Skill in data visualization tools such as Tableau, Power BI, or similar BI software
- Bachelor's degree in human resources, data analytics, statistics, or a related field
- Ability to build and maintain workforce dashboards tracking headcount, attrition, and DEI metrics
- Familiarity with compensation benchmarking, survey participation, or salary structure analysis
Tips for Your Remote Human Resources Data Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote human resources data analyst openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through unrelated postings.
Show your async communication in writing
Remote HR teams rely on written handoffs and documented analysis rather than in-person discussions. Include a sample memo, dashboard summary, or annotated report in your application materials to prove you communicate findings clearly without a meeting.
Demonstrate proficiency in remote HR tooling
Call out your hands-on experience with cloud-based HRIS platforms like Workday, BambooHR, or SAP SuccessFactors alongside analytics tools such as SQL and Tableau. Remote employers want analysts who can access, clean, and visualize people data independently from day one.
Build a portfolio around workforce data questions
Create two or three self-contained projects that answer a real people-analytics question, like attrition patterns or time-to-hire trends, using publicly available HR datasets. A concrete portfolio lets remote hiring managers assess your analytical judgment before the interview stage.
Remote Human Resources Data Analyst Jobs: Frequently Asked Questions
How do I get a remote human resources data analyst job?
Target companies that run distributed HR teams, since they already have the workflows and tooling to support remote analysts. Remote employers screen heavily for self-direction, clear written communication, and proficiency in HRIS platforms like Workday or SAP SuccessFactors alongside analytics tools like SQL, Tableau, or Power BI. Demonstrating that you can present findings async, document your methodology, and move projects forward without daily check-ins gives you a real edge over candidates who can only show technical skills.
Which companies hire remote human resources data analysts?
Remote human resources data analyst roles are posted by Iterative Health, Zillow, and ISS World and others right now, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, large distributed healthcare systems, and financial services firms with geographically spread workforces are among the most consistent hirers of this role.
Can you get a remote human resources data analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal oversight. Remote-first SaaS companies and HR tech startups are more open to early-career candidates than traditional enterprises. Showing a portfolio with a people-analytics project, a completed course in SQL or Tableau, or freelance HR reporting work signals you can deliver without hand-holding.
Do you need a degree for remote human resources data analyst jobs?
Not always. Many remote employers weigh demonstrated analytical ability and HRIS tool proficiency more heavily than a specific degree, particularly at companies that hire for skills rather than credentials. A portfolio showing real workforce data projects, certifications in tools like Power BI or Python, and documented results from prior HR reporting work can substitute for or strengthen a non-traditional academic background.
See All 11 Remote Human Resources Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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