Remote Data Analyst Jobs
Remote data analyst jobs are open at remote-first firms, distributed tech teams, and enterprise organizations across Technology & Software, Consulting & Professional Services, and Insurance, with consistent demand from employers who structure their analytics work outside a central office. Companies actively hiring remote data analysts include CVS Health, Alta Planning + Design, and Tailored Brands. See the openings below and apply to the ones that match your experience.
Find Remote Data Analyst JobsOverview
Open roles393+
Top employerCVS Health
Top industryTechnology
Top credentialBachelor's degree
Companies hiring100+
Showing 5 of 393+ Remote Data Analyst jobs
Sr. Manager, Data Analyst
We won't show you this job again
New 17h ago
ConnectiveRx
Sr. Manager, Data Analyst
Whippany, New Jersey
New 17h ago
Forensic Regulatory Data Analyst
We won't show you this job again
New 18h ago
UtiliSave, LLC
Forensic Regulatory Data Analyst
New York, New York
New 18h ago
A
Software Engineer - Data, AI/ML & Analytics
We won't show you this job again
A
New 19h ago
Arya Groups
Software Engineer - Data, AI/ML & Analytics
Remote
New 19h ago
Sr Manager IC, Merchant & Advertiser Data Marts — Analytics Team (Remote-Eligible)
We won't show you this job again
New 20h ago
Capital One
Sr Manager IC, Merchant & Advertiser Data Marts — Analytics Team (Remote-Eligible)
McLean, Virginia
New 20h ago
Project Leader / Senior Government Data Analytics Program Manager
We won't show you this job again
New 21h ago
Chameleon Integrated Services
Project Leader / Senior Government Data Analytics Program Manager
Remote
New 21h ago
New 17h ago
Sr. Manager, Data Analyst
ConnectiveRx·Whippany, New Jersey
Job functions:
$108k - $166k/yr
Remote (US)
Bachelor's degree in business
1,001-5,000 employees
Job Description
Overview:
We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts.
The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data strategy and leading a team of analysts to deliver consistent reporting and impactful insights for Life Science clients, agency partners, and internal stakeholders. With deep technical expertise and comprehensive domain knowledge of Life Science sponsored messaging, this role influences organizational decisions and leads the design of advanced reporting, dashboarding, and analysis. The Senior Manager acts as a strategic advisor and collaborates with internal and external stakeholders to drive business outcomes through data.
Responsibilities:
Compensation & Benefits: This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities.
Posted Salary Range: USD $107,600.00 - USD $165,500.00 /Yr.
Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path—allowing patients to build trusting relationships with their medication brands.
We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts.
The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data strategy and leading a team of analysts to deliver consistent reporting and impactful insights for Life Science clients, agency partners, and internal stakeholders. With deep technical expertise and comprehensive domain knowledge of Life Science sponsored messaging, this role influences organizational decisions and leads the design of advanced reporting, dashboarding, and analysis. The Senior Manager acts as a strategic advisor and collaborates with internal and external stakeholders to drive business outcomes through data.
Core Areas of Focus
- NPI-based reporting (PLD) with a focus on automating, optimizing, and scaling reporting infrastructure.
- Claims-based analyses focused on identifying optimal audiences and assessing impact.
- Self-service reporting solutions that enable technical and non-technical stakeholders to access data that supports business needs.
- Rx impact reporting focused on identifying scalable solutions for complex impact analysis methodologies rooted in claims data.
Essential Functions
- Support the development of high-quality reporting with a focus on efficiency, scalability, and advancement through new technologies such as AI-supported tools.
- Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on best practices and scalable approaches. Collaborate with data engineering teams to ensure robust ETL pipelines, data integrity, and adherence to governance and security protocols.
- Lead high-level discussions with senior executives and key stakeholders, clearly communicating complex analytics and their impact on business goals.
- Lead and oversee the analytics team's day-to-day activities, ensuring the successful delivery of multiple concurrent data projects.
- Mentor and coach team members, fostering a culture of continuous improvement and innovation.
- Partner with senior leadership, external clients, and cross-functional teams to identify and prioritize strategic data initiatives. Evaluate and implement emerging technologies to enhance the organization's data analytics capabilities.
Education
- Bachelor's degree in Business, Data Analytics, Information Systems, or a related field required.
- Master's degree in Data Science, Business Analytics, or a related discipline strongly preferred.
- Relevant certifications in SQL, business intelligence tools, or data strategy are preferred.
- Strong problem-solving, leadership, and strategic thinking skills with the ability to align team activities with organizational goals.
Experience
- 10–15 years of experience in data analysis, business intelligence, or a related field.
- 3+ years of people leadership experience.
- Proficiency with SQL and Python.
- Experience with AWS cloud-based infrastructure.
Knowledge
- Deep technical expertise and comprehensive domain knowledge to influence organizational decisions and lead the design of advanced reports, dashboards, and analyses.
- Experience managing complex data initiatives, driving business-impacting insights, and mentoring junior team members.
Skills
- Advanced SQL skills, including designing and implementing complex database schemas, utilizing CTEs and window functions, and optimizing queries for large datasets.
- Advanced data wrangling skills, including automating data cleaning, managing large datasets, feature engineering, and data normalization.
- Expertise in data visualization, including custom visualizations, geospatial visualizations, and interactive dashboards.
- Strong statistical knowledge, including hypothesis testing, regression analysis, ANOVA, and the ability to interpret and communicate statistical results.
- Experience designing and implementing advanced business intelligence solutions, including data modeling, ETL processes, and performance optimization.
- Strong coding experience with the ability to develop complex software solutions using advanced programming techniques and frameworks. Python preferred.
- Excellent communication skills with the ability to explain complex analytical concepts to both technical and non-technical audiences.
- Significant healthcare domain knowledge to provide meaningful context for data analysis and reporting.
Core Competencies
- Analytical and logical reasoning
- Oral and written communication
- Project management
- Negotiation and persuasion
- Consultation
- Decision quality
Travel Requirements
- Travel to office locations or client sites as needed.
Compliance Requirements
Adhere to all company policies, procedures, and required training consistent with ConnectiveRx's Information Security and Compliance Programs, including SOC1, SOC2, PCI, and HIPAA requirements.
Maintain strict compliance with company and client policies regarding business rules and ethics, as well as all applicable local, state, and federal laws.
Compensation & Benefits: This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities.
Employees at ConnectiveRx can access comprehensive benefits, including medical, dental, vision, life, and disability insurance. The company regularly reviews and updates its health, welfare, and fringe benefit policies to ensure competitive offerings. Employees may also participate in the company’s 401(k) plan, with employer contributions where applicable.
Time-Off & Holidays: ConnectiveRx provides a flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations. PTO is determined based on an employee’s first year of service. Employees also receive eight standard company holidays and three floating holidays annually, with prorations applied in the first year.
The company remains committed to providing competitive benefits and reserves the right to modify employee offerings, including PTO, STO, and holiday policies, in accordance with applicable laws and regulations.
ConnectiveRx
Sr. Manager, Data Analyst
Whippany, New Jersey
New 17h ago1,001-5,000 employees
Job functions:
$108k - $166k/yr
Remote (US)
Bachelor's degree in business
Job Description
Overview:
We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts.
The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data strategy and leading a team of analysts to deliver consistent reporting and impactful insights for Life Science clients, agency partners, and internal stakeholders. With deep technical expertise and comprehensive domain knowledge of Life Science sponsored messaging, this role influences organizational decisions and leads the design of advanced reporting, dashboarding, and analysis. The Senior Manager acts as a strategic advisor and collaborates with internal and external stakeholders to drive business outcomes through data.
Responsibilities:
Compensation & Benefits: This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities.
Posted Salary Range: USD $107,600.00 - USD $165,500.00 /Yr.
Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path—allowing patients to build trusting relationships with their medication brands.
We’re not only committed to taking the pain out of the prescription process, but we’re also devoted to bringing the brightest minds together under one roof. We bring together diverse voices—engineers, pharmacists, customer service veterans, developers, program strategists and more—all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts.
The Senior Manager, Data Analyst plays a pivotal leadership role in driving the organization's data strategy and leading a team of analysts to deliver consistent reporting and impactful insights for Life Science clients, agency partners, and internal stakeholders. With deep technical expertise and comprehensive domain knowledge of Life Science sponsored messaging, this role influences organizational decisions and leads the design of advanced reporting, dashboarding, and analysis. The Senior Manager acts as a strategic advisor and collaborates with internal and external stakeholders to drive business outcomes through data.
Core Areas of Focus
- NPI-based reporting (PLD) with a focus on automating, optimizing, and scaling reporting infrastructure.
- Claims-based analyses focused on identifying optimal audiences and assessing impact.
- Self-service reporting solutions that enable technical and non-technical stakeholders to access data that supports business needs.
- Rx impact reporting focused on identifying scalable solutions for complex impact analysis methodologies rooted in claims data.
Essential Functions
- Support the development of high-quality reporting with a focus on efficiency, scalability, and advancement through new technologies such as AI-supported tools.
- Oversee the design and execution of complex SQL and Python-based solutions, guiding the team on best practices and scalable approaches. Collaborate with data engineering teams to ensure robust ETL pipelines, data integrity, and adherence to governance and security protocols.
- Lead high-level discussions with senior executives and key stakeholders, clearly communicating complex analytics and their impact on business goals.
- Lead and oversee the analytics team's day-to-day activities, ensuring the successful delivery of multiple concurrent data projects.
- Mentor and coach team members, fostering a culture of continuous improvement and innovation.
- Partner with senior leadership, external clients, and cross-functional teams to identify and prioritize strategic data initiatives. Evaluate and implement emerging technologies to enhance the organization's data analytics capabilities.
Education
- Bachelor's degree in Business, Data Analytics, Information Systems, or a related field required.
- Master's degree in Data Science, Business Analytics, or a related discipline strongly preferred.
- Relevant certifications in SQL, business intelligence tools, or data strategy are preferred.
- Strong problem-solving, leadership, and strategic thinking skills with the ability to align team activities with organizational goals.
Experience
- 10–15 years of experience in data analysis, business intelligence, or a related field.
- 3+ years of people leadership experience.
- Proficiency with SQL and Python.
- Experience with AWS cloud-based infrastructure.
Knowledge
- Deep technical expertise and comprehensive domain knowledge to influence organizational decisions and lead the design of advanced reports, dashboards, and analyses.
- Experience managing complex data initiatives, driving business-impacting insights, and mentoring junior team members.
Skills
- Advanced SQL skills, including designing and implementing complex database schemas, utilizing CTEs and window functions, and optimizing queries for large datasets.
- Advanced data wrangling skills, including automating data cleaning, managing large datasets, feature engineering, and data normalization.
- Expertise in data visualization, including custom visualizations, geospatial visualizations, and interactive dashboards.
- Strong statistical knowledge, including hypothesis testing, regression analysis, ANOVA, and the ability to interpret and communicate statistical results.
- Experience designing and implementing advanced business intelligence solutions, including data modeling, ETL processes, and performance optimization.
- Strong coding experience with the ability to develop complex software solutions using advanced programming techniques and frameworks. Python preferred.
- Excellent communication skills with the ability to explain complex analytical concepts to both technical and non-technical audiences.
- Significant healthcare domain knowledge to provide meaningful context for data analysis and reporting.
Core Competencies
- Analytical and logical reasoning
- Oral and written communication
- Project management
- Negotiation and persuasion
- Consultation
- Decision quality
Travel Requirements
- Travel to office locations or client sites as needed.
Compliance Requirements
Adhere to all company policies, procedures, and required training consistent with ConnectiveRx's Information Security and Compliance Programs, including SOC1, SOC2, PCI, and HIPAA requirements.
Maintain strict compliance with company and client policies regarding business rules and ethics, as well as all applicable local, state, and federal laws.
Compensation & Benefits: This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities.
Employees at ConnectiveRx can access comprehensive benefits, including medical, dental, vision, life, and disability insurance. The company regularly reviews and updates its health, welfare, and fringe benefit policies to ensure competitive offerings. Employees may also participate in the company’s 401(k) plan, with employer contributions where applicable.
Time-Off & Holidays: ConnectiveRx provides a flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations. PTO is determined based on an employee’s first year of service. Employees also receive eight standard company holidays and three floating holidays annually, with prorations applied in the first year.
The company remains committed to providing competitive benefits and reserves the right to modify employee offerings, including PTO, STO, and holiday policies, in accordance with applicable laws and regulations.
See All 393+ Remote Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Analyst JobsRemote Data Analyst Job Market
Who's Hiring
- CVS Health20
- Alta Planning + Design7
- Tailored Brands6
- Praescient Analytics5
- JBS INTERNATIONAL5
Top Industries Hiring
- Technology & Software25
- Consulting & Professional Services11
- Insurance7
- Healthcare & Medical Services7
- Banking & Financial Services6
What Employers Look For
The qualifications that appear most often in remote data analyst jobs.
- Proficiency in SQL for querying and transforming relational databases
- Experience with at least one BI tool such as Tableau, Power BI, or Looker
- Ability to work with Python or R for data cleaning and analysis
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Familiarity with Excel or Google Sheets for ad hoc analysis and reporting
- Experience communicating findings to non-technical stakeholders through data visualization
Tips for Your Remote Data Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data analyst openings from across the U.S. in one place, so you can find roles that match your stack and apply directly. Remote postings attract high volume fast, so applying within the first few days improves your chances.
Build a portfolio that works asynchronously
Remote hiring managers evaluate your SQL queries, dashboards, and written analysis notes without meeting you first. Publish documented projects on GitHub or a personal site where your reasoning is visible step by step, not just the final chart.
Signal async communication skills explicitly
Remote data analyst teams run on written communication. In your cover letter and interviews, reference how you've documented findings in Confluence, Notion, or Slack threads so teammates could act on your analysis without a follow-up call.
Filter openings by the remote work model
Some roles labeled remote require occasional on-site visits or restrict applicants to specific time zones. Read the job description for phrases like 'fully remote,' 'async-first,' or 'US time zones only' before spending time on an application.
Remote Data Analyst Jobs: Frequently Asked Questions
How do I get a remote data analyst job?
Target companies built around distributed teams, such as remote-first SaaS firms and fully distributed tech organizations, because they already have the infrastructure and culture for remote analytics work. Remote employers screen heavily for self-direction, clear written communication, and the ability to document your analysis so teammates in different time zones can follow your reasoning without a meeting. Proficiency in SQL, Python or R, and a cloud-based BI tool like Tableau or Looker gives you a concrete edge.
Which companies hire remote data analysts?
Companies hiring remote data analysts right now include CVS Health, Alta Planning + Design, and Tailored Brands, based on current remote listings on Migrate Mate as of August 2026. Remote openings for this role are concentrated at remote-first software companies, distributed fintech firms, and large healthcare organizations that run analytics across decentralized teams.
Can you get a remote data analyst job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to troubleshoot independently without in-person support from day one. Remote-first startups and digital-native companies are the most likely to hire junior analysts. Building a public portfolio of SQL queries and dashboard projects, contributing to open datasets, and showing strong async written communication can substitute for formal experience in the eyes of many remote hiring teams.
Do you need a degree for remote data analyst jobs?
Not always. Many remote employers weigh demonstrated skills over credentials, particularly at remote-first companies that evaluate candidates on work samples rather than resumes alone. A portfolio showing real analyses, proficiency in SQL and a visualization tool, and evidence that you can communicate findings clearly in writing often carries more weight than a degree in roles where the output speaks for itself.
Which industries hire the most remote data analysts?
The sectors hiring the most remote data analysts are Technology & Software, Consulting & Professional Services, and Insurance, based on current remote listings on Migrate Mate as of August 2026. These industries rely on distributed data teams that analyze customer behavior, product performance, and operational metrics across organizations with no single geographic hub.
See All 393+ Remote Data Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Data Analyst Jobs