Remote Data Operations Analyst Jobs
Remote data operations analyst jobs are open across the U.S. at remote-first firms, distributed tech teams, and data-driven organizations in sectors like software, finance, and healthcare. Employers hiring remotely right now include Oscar Management Corporation, NMI, and Arity. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 20+ Remote Data Operations Analyst jobs











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.
See All 20 Remote Data Operations Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsRemote Data Operations Analyst Job Market
Who's Hiring



Top Industries Hiring
- Insurance
- Technology & Software
What Employers Look For
The qualifications that appear most often in remote data operations analyst jobs.
- Proficiency in SQL for querying, transforming, and validating large datasets
- Experience with ETL or ELT pipelines using tools such as dbt, Airflow, or Talend
- Familiarity with cloud data platforms including Snowflake, BigQuery, or Redshift
- Bachelor's degree in a quantitative field such as computer science, statistics, or information systems
- Ability to document data lineage, data dictionaries, and operational runbooks
- Experience working with data quality frameworks and resolving upstream data integrity issues
Tips for Your Remote Data Operations Analyst Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data operations 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 listings.
Show async communication in your application
Remote data operations teams run on written handoffs, Slack threads, and documented processes. Your cover letter and any take-home assessments should reflect that style: clear, concise, and structured without needing a follow-up call to clarify.
Build a visible data operations portfolio
Remote hiring managers can't watch you work, so your GitHub, Notion workspace, or shared project samples do that job. Include SQL queries, data quality checks, or pipeline documentation that shows how you catch and resolve data issues independently.
Prepare for asynchronous remote interviews
Many remote-first companies use recorded video screenings or written technical assessments before live interviews. Practice explaining your data operations process in writing and on camera, focusing on how you prioritize tasks and flag data issues without real-time guidance.
Remote Data Operations Analyst Jobs: Frequently Asked Questions
How do I get a remote data operations analyst job?
Target remote-first companies and distributed teams that run data pipelines across time zones, since they hire data operations analysts most consistently. Remote employers screen for self-direction, clear written communication, and hands-on skills in SQL, data quality tooling, and pipeline monitoring. Candidates who can document their work clearly and troubleshoot independently without daily check-ins have a real edge over equally skilled applicants who rely on in-person collaboration.
Which companies hire remote data operations analysts?
Employers currently hiring remote data operations analysts include Oscar Management Corporation, NMI, and Arity, per current remote listings on Migrate Mate as of August 2026. Remote-first software companies, fintech platforms, and healthcare data firms are among the most active hirers, typically looking for analysts who can manage data pipelines and quality checks across distributed teams.
Can you get a remote data operations analyst job with no experience?
Yes, but remote entry-level roles are harder to land because you need to demonstrate you can work independently from day one without in-person onboarding or oversight. Smaller remote-first startups and contract-to-hire roles tend to be more open to candidates without direct experience. Showing a portfolio of data cleaning projects, familiarity with SQL and spreadsheet tooling, and clear written communication skills can open doors where a resume alone won't.
Do you need a degree for remote data operations analyst jobs?
Not always. Many remote employers weigh demonstrated SQL proficiency, experience with data quality processes, and the ability to document and communicate findings clearly over a specific degree. A portfolio showing real data work, certifications in data analytics or database tools, and evidence of consistent remote output can carry as much weight as a bachelor's degree for a significant portion of remote openings.
Which industries hire the most remote data operations analysts?
Most remote data operations analyst openings sit in Insurance and Technology & Software, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed teams managing large, continuous data flows, making remote data operations analysts a practical fit for their operating models.
See All 20 Remote Data Operations Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
Find Jobs