Remote Data Analytics Manager Jobs
Remote Data Analytics Manager jobs are in strong demand across the U.S., with remote-first firms and distributed teams actively hiring for this role in technology, financial services, healthcare, and e-commerce. Employers posting remote openings right now include CVS Health, Alta Planning + Design, and Tailored Brands. Scan the live roles below and apply to whichever ones fit.
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Open roles394+
Top employerCVS Health
Top industryTechnology
Top credentialBachelor's degree
Companies hiring100+
Showing 5 of 394+ Remote Data Analytics Manager jobs
Sr. Manager, Data Analyst
We won't show you this job again
New 14h ago
ConnectiveRx
Sr. Manager, Data Analyst
Whippany, New Jersey
New 14h ago
Forensic Regulatory Data Analyst
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New 15h ago
UtiliSave, LLC
Forensic Regulatory Data Analyst
New York, New York
New 15h ago
A
Software Engineer - Data, AI/ML & Analytics
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A
New 16h ago
Arya Groups
Software Engineer - Data, AI/ML & Analytics
Remote
New 16h ago
Sr Manager IC, Merchant & Advertiser Data Marts — Analytics Team (Remote-Eligible)
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New 17h ago
Capital One
Sr Manager IC, Merchant & Advertiser Data Marts — Analytics Team (Remote-Eligible)
McLean, Virginia
New 17h ago
Project Leader / Senior Government Data Analytics Program Manager
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New 17h ago
Chameleon Integrated Services
Project Leader / Senior Government Data Analytics Program Manager
Remote
New 17h ago
New 14h 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 14h 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 394+ Remote Data Analytics Manager Jobs
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Find JobsRemote Data Analytics Manager 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 analytics manager jobs.
- Five or more years of experience in data analytics or a related field
- Proficiency in SQL and at least one BI tool such as Tableau or Power BI
- Experience managing or mentoring analysts and cross-functional data teams
- Strong communication skills for presenting insights to executive stakeholders
- Bachelor's degree in statistics, computer science, mathematics, or a related discipline
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift
Tips for Your Remote Data Analytics Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data analytics manager openings from across the U.S. in one place. You can find roles that match your skills and apply directly without sorting through listings that aren't actually remote.
Show your async communication on paper
Remote hiring teams care about how you communicate without a meeting room. Add examples of written executive summaries, Slack-based stakeholder updates, or documentation you have owned to your resume and any work samples you share.
Build a portfolio of shipped analytics work
Remote employers can't observe your day-to-day, so a visible record of analytics projects you have led, including the business question, your approach, and the outcome, does the convincing your in-person presence otherwise would.
Target remote-first companies specifically
Companies built remote from the start have the infrastructure, culture, and management practices that make distributed analytics leadership work. Filtering your search to remote-first firms reduces the chance of landing a role that reverts to hybrid expectations.
Remote Data Analytics Manager Jobs: Frequently Asked Questions
How do I get a remote data analytics manager job?
Remote data analytics manager roles go to candidates who can demonstrate self-direction, clear written communication, and the ability to lead distributed analytics teams without in-person oversight. Remote-first companies and SaaS firms screen heavily for async collaboration, so showing proficiency in tools like SQL, dbt, Looker, or Tableau alongside a history of shipping insights independently gives you a real edge over candidates who only reference in-office accomplishments.
Which companies hire remote data analytics managers?
Remote data analytics manager roles are posted by CVS Health, Alta Planning + Design, and Tailored Brands and others right now, based on current remote listings on Migrate Mate as of August 2026. Remote-first software companies, fintech platforms, and distributed healthcare and e-commerce teams are especially active in hiring for this role fully remotely.
Can you get a remote data analytics manager job with no experience?
Yes, but remote data analytics manager roles at the entry level are harder to land because employers expect you to operate independently from day one. Your best path is through analytics individual-contributor roles at remote-first companies where you can build a visible record of leading projects, mentoring junior analysts, and communicating findings in writing, which is what remote hiring teams look for before promoting or hiring into a manager title.
Do you need a degree for remote data analytics manager jobs?
Not always. Remote employers weigh demonstrated analytics leadership, a strong portfolio of data projects, and proficiency in tools like SQL, Python, or BI platforms alongside any formal credential. A degree helps in some sectors, particularly financial services and healthcare, but candidates who can show measurable business impact from analytics work they have managed often move forward without one.
Which industries hire the most remote data analytics managers?
Most remote data analytics manager openings sit in Technology & Software, Consulting & Professional Services, and Insurance, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed data teams that operate across time zones, making remote data analytics manager hires a practical standard rather than an exception.
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