Remote Data Operations Manager Jobs
Remote data operations manager jobs are open across the U.S. at remote-first companies and distributed teams in sectors like software, financial services, and healthcare. Employers hiring remotely right now include Oscar Management Corporation, New York City Department of Health and Mental Hygiene, and FluidStack. See the openings below and apply to the ones that match your experience.
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We're looking for bold thinkers, builders, technologists, and sellers who want real ownership of their work, thrive in collaborative environments, and are energized by solving complex challenges. Here, you'll have the opportunity to make a measurable impact - fast.
If you're eager to shape the future of cross-border payments and financial services, join us as we transform how the world moves money.
We are seeking a versatile product analytics team member to support our growing product and engineering teams. In this role, you will help drive rapid, data-driven insights to inform product decisions around experiments, features, and product direction related to our core money transfer digital product. This is a full-time remote position open to candidates based in the US, offering the opportunity to work globally and influence product strategy across multiple areas of MoneyGram's product and technology offerings.
MoneyGram is in a period of rapid transformation through its re-founding. Examples of companies who successfully re-founded themselves are Microsoft, Apple, and Uber. We are looking for re-founders who can step into MoneyGram and help drive a fundamental reinvention of our strategy, culture, and ways of working while staying true to our mission. MoneyGram is a PE-backed private company building towards a near-term IPO.
What you will get to do as Senior, Data Analyst – Product Analytics
- Analytics Re-Invention: AI has become the fundamental building block of many new platforms built in the last few years. You are willing to go beyond anything you've ever done before and rethink analytics from the ground up. "It's been done this way before" is not a benefit, but a defect.
- Customer Experience and Product Performance: Craft and evolve the view of the customer experience through analytics and product metrics.
- Experimentation & Optimization: Support and guide experimental frameworks (A/B tests, holdouts, geo testing, etc.) to measure the incremental impact of product presentation and feature releases. Partner with product and engineering to design data-driven insights that accelerate performance and growth. Provide stakeholders with the ability to measure the success of feature or functionality rollouts by pulling and organizing data into cohorts and measuring metrics based on cohort performance.
- Insights & Reporting: Analyze and develop key insights into partner and customer behaviors and pain points to uncover opportunities for an improved experience.
- Cross-Functional Collaboration: Collaborate closely with cross-functional teams — from Product, Sales, Marketing, Finance, and Regional/International teams — to align analytics initiatives with business goals. Use data to advise on go-to-market strategies for new product launches and to identify new growth opportunities and solutions to business challenges.
- Technology & Automation: Champion best-in-class analytics tools and processes. Work with Product, Engineering, and Data Engineering to implement and leverage analytics platforms (BI tools, tag management, automation via APIs) that enhance product efficiency and scale. Stay abreast of industry trends and emerging technologies in product analytics, continuously seeking opportunities to improve our capabilities and methodologies.
- Product Analytics Expertise: 3–5+ years of experience in analytics or a related quantitative field, with meaningful focus on product analytics in a B2C or technology-driven company. Demonstrated ability to drive insights that directly inform product strategy and user experience.
- Technical Skills: Strong hands-on skills in data analysis. Proficiency in SQL for querying and manipulating large datasets. Familiarity with analytics programming is a plus.
- Data Visualization Skills: Strong experience with business intelligence and data visualization tools; Looker preferred, or similar BI platforms.
- Data-Driven Mindset: Analytical thinker with an understanding of experiment design. Able to uncover insights from data and translate them into actionable recommendations and measurable results.
- Communication & Influence: Excellent communication and interpersonal skills. Ability to distill technically complex data findings into clear, compelling narratives for both technical and non-technical audiences. Skilled at visual representation of insights, documenting, and presenting findings to stakeholders.
- Cross-Functional Collaboration: Comfortable working cross-functionally and with stakeholders across the organization. Ability to build strong relationships with team members and technical partners and advise or partner with colleagues across varying backgrounds.
- High-Growth & Global Experience: Thrives in a fast-paced, high-growth, and ambiguous environment. Global experience and the ability to shape insights for a global audience is highly valued.
- Industry Background: Experience in direct-to-consumer online businesses is preferred; fintech or financial services experience is a strong. A passion for evolving products and using data to enhance the customer experience is essential.
- Education: Bachelor's or equivalent practical experience in analytics. An advanced degree or relevant industry certifications in analytics is a bonus.
The salary/pay rate listed below is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on the company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, and/or skill level.
Here Are Some Reasons You Will Love Working At MoneyGram!
- Remote first flexibility
- Generous PTO
- 13 Paid Holidays
- Medical / Dental / Vision Insurance
- Life, Disability, and other benefits
- 401k with competitive Employer Match
- Community Service Days
- Generous Parental Leave
About MoneyGram
MoneyGram is a global payments network built to move money across borders with speed, simplicity and trust. Its omnichannel platform empowers consumers, developers and agents to transfer cash, fiat and stablecoin however it works best for them.
The company serves over 50 million customers a year across 200+ countries and territories, nearly half a million retail locations and a rapidly expanding digital ecosystem reaching billions of devices. As one of the most recognized and trusted names in global payments, MoneyGram continues to reinvent how money moves - helping people around the world support their loved ones and build better futures.
MoneyGram is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law.
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Who's Hiring



Top Industries Hiring
- Insurance
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data operations manager jobs.
- 5+ years of experience in data engineering, analytics, or data operations roles
- Proficiency in SQL and at least one scripting language such as Python
- Hands-on experience with pipeline orchestration tools like Airflow, dbt, or Prefect
- Experience with cloud data platforms including Snowflake, BigQuery, or Redshift
- Bachelor's degree in computer science, information systems, or a related field
- Familiarity with data governance frameworks and data quality monitoring practices
Tips for Your Remote Data Operations Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data operations manager openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Prove your async communication skills upfront
Remote data operations managers coordinate pipeline issues, data quality reviews, and cross-team reporting over Slack, Confluence, and ticketing systems. Your resume and cover letter should reference written handoffs, async incident documentation, or remote runbooks you've owned.
Highlight your remote toolchain explicitly
Remote employers scan for specific tools: SQL, dbt, Airflow, Fivetran, Looker, and cloud data platforms like Snowflake or BigQuery. Name every relevant tool you've used in production, because distributed hiring managers rely on keyword matching more heavily than in-office teams do.
Prepare for remote-format technical screens
Remote interviews for data operations manager roles typically involve a take-home SQL or pipeline-design exercise followed by a video debrief. Practice explaining your data modeling decisions and incident response reasoning out loud over video before you get to that stage.
Remote Data Operations Manager Jobs: Frequently Asked Questions
How do I get a remote data operations manager job?
Target remote-first companies and distributed enterprises that rely heavily on data pipelines and reporting workflows, since those teams hire data operations managers remotely most often. Remote employers screen for self-direction, strong written communication, and hands-on experience with tools like SQL, dbt, Airflow, or data warehousing platforms. Demonstrating that you've managed data quality, pipeline incidents, or cross-functional coordination without being in the same room as your stakeholders gives you a clear edge.
Which companies hire remote data operations managers?
Companies hiring remote data operations managers right now include Oscar Management Corporation, New York City Department of Health and Mental Hygiene, and FluidStack, based on current remote listings on Migrate Mate as of August 2026. Remote roles for this position concentrate at remote-first technology firms, distributed SaaS companies, and large enterprises with globally spread data teams.
Can you get a remote data operations manager job with no experience?
Yes, but remote entry-level openings are harder to land because employers expect you to troubleshoot data issues and coordinate across teams without in-person support from day one. Smaller remote-first startups and scale-ups are the most realistic entry point. Showing a portfolio of personal or freelance data projects, familiarity with pipeline and orchestration tools, and documented async communication habits can substitute effectively for formal experience.
Do you need a degree for remote data operations manager jobs?
Not always. Remote employers in this space weigh demonstrated ability to manage data workflows, maintain data quality, and communicate findings in writing far more heavily than a specific degree credential. Candidates who can show real results, such as reduced pipeline failures, improved data documentation, or successful cross-team reporting rollouts, routinely compete alongside those with formal data or business degrees.
Which industries hire the most remote data operations managers?
Most remote data operations manager openings sit in Insurance and Technology & Software, per current remote listings on Migrate Mate as of August 2026. Those sectors rely on distributed data teams that need consistent pipeline oversight and data quality management regardless of where team members are located.
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