Data Contributor Jobs at Microsoft with Visa Sponsorship
Data Contributor jobs at Microsoft sit at the intersection of data engineering, quality, and pipeline management, supporting products used by hundreds of millions of people. Microsoft has a well-established visa sponsorship infrastructure for technical contributors, making it one of the more accessible paths for international candidates pursuing this function.
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Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.
The CMO Strategy team defines and drives Microsoft’s consumer growth strategy. We work at the intersection of data, strategy, and executive decision-making to shape priorities, align leadership, and accelerate business outcomes across the consumer organization.
As a Senior Data Strategy & Insights Manager on the CMO Strategy team, you will be the analytical engine behind our consumer data efforts. You will oversee large scale data sets, work closely with our external data engineering partner, and ensure the team has the rigorous, high-quality analytical foundation needed to inform our most critical decisions.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
Data Analysis & Infrastructure Oversight:
- Oversee and analyze large-scale consumer data sets to surface meaningful patterns, trends, and signals that inform strategic decisions.
- Develop deep familiarity with the consumer data platform architecture — understanding how data flows, where it lives, and how to get the most out of it.
- Apply rigorous analytical methods — including lifetime value modeling, behavioral analytics, and large scale data aggregation — to generate high quality, reliable insights.
- Ensure data quality, consistency, and integrity across reporting and analytical outputs.
Data Engineering Partner Management:
- Serve as the day to day manager of our external data engineering partner, setting priorities, directing analytical work, and holding the team accountable to quality and timelines.
- Translate business questions into clear, scoped analytical requests and evaluate the outputs to ensure they answer the right question in the right way.
- Identify gaps in the data engineering team’s approach and course-correct proactively to keep work on track.
Strategic & Business Support:
- Support business optimization efforts across the team’s strategic initiatives, connecting analytical findings to consumer business outcomes.
- Help define and track KPIs to support business strategy and measure progress against key initiatives.
- Contribute to business rhythm deliverables by providing timely, accurate analytical inputs to support leadership decision making.
Stakeholder Engagement & Cross-Organizational Collaboration:
- Build effective working relationships with consumer strategy leadership and cross functional partners across the consumer business.
- Support alignment and delivery of data and insights for business rhythms.
- Participate in cross functional collaboration and contribute to the team’s representation in forums and planning processes.
- Engage constructively with peers, stakeholders, and Marketing & Consumer leadership.
Other:
- Embody our culture and values.
Qualifications
Required/minimum qualifications
- Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR equivalent experience.
Additional or preferred qualifications
- Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR equivalent experience.
- Proven experience working with large scale consumer data platforms and complex, high volume data sets — with a strong understanding of how data infrastructure is built and how data flows end to end.
- Established quantitative and mathematical skills; ability to apply rigorous analytical methods (e.g., lifetime value modeling, behavioral analytics, predictive modeling) to generate reliable, high-quality insights.
- Experience directing or collaborating with data engineering teams; ability to scope analytical requests, evaluate technical outputs, and hold partners accountable to quality standards.
- Ability to prioritize tasks, activities, and deliverables to ensure timely completion of objectives in a dynamic, fast-moving environment.
- Ability to translate analytical findings into clear, concise outputs that support leadership decision making.
Compensation
- The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Overview
Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.
The CMO Strategy team defines and drives Microsoft’s consumer growth strategy. We work at the intersection of data, strategy, and executive decision-making to shape priorities, align leadership, and accelerate business outcomes across the consumer organization.
As a Senior Data Strategy & Insights Manager on the CMO Strategy team, you will be the analytical engine behind our consumer data efforts. You will oversee large scale data sets, work closely with our external data engineering partner, and ensure the team has the rigorous, high-quality analytical foundation needed to inform our most critical decisions.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
Data Analysis & Infrastructure Oversight:
- Oversee and analyze large-scale consumer data sets to surface meaningful patterns, trends, and signals that inform strategic decisions.
- Develop deep familiarity with the consumer data platform architecture — understanding how data flows, where it lives, and how to get the most out of it.
- Apply rigorous analytical methods — including lifetime value modeling, behavioral analytics, and large scale data aggregation — to generate high quality, reliable insights.
- Ensure data quality, consistency, and integrity across reporting and analytical outputs.
Data Engineering Partner Management:
- Serve as the day to day manager of our external data engineering partner, setting priorities, directing analytical work, and holding the team accountable to quality and timelines.
- Translate business questions into clear, scoped analytical requests and evaluate the outputs to ensure they answer the right question in the right way.
- Identify gaps in the data engineering team’s approach and course-correct proactively to keep work on track.
Strategic & Business Support:
- Support business optimization efforts across the team’s strategic initiatives, connecting analytical findings to consumer business outcomes.
- Help define and track KPIs to support business strategy and measure progress against key initiatives.
- Contribute to business rhythm deliverables by providing timely, accurate analytical inputs to support leadership decision making.
Stakeholder Engagement & Cross-Organizational Collaboration:
- Build effective working relationships with consumer strategy leadership and cross functional partners across the consumer business.
- Support alignment and delivery of data and insights for business rhythms.
- Participate in cross functional collaboration and contribute to the team’s representation in forums and planning processes.
- Engage constructively with peers, stakeholders, and Marketing & Consumer leadership.
Other:
- Embody our culture and values.
Qualifications
Required/minimum qualifications
- Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR equivalent experience.
Additional or preferred qualifications
- Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR equivalent experience.
- Proven experience working with large scale consumer data platforms and complex, high volume data sets — with a strong understanding of how data infrastructure is built and how data flows end to end.
- Established quantitative and mathematical skills; ability to apply rigorous analytical methods (e.g., lifetime value modeling, behavioral analytics, predictive modeling) to generate reliable, high-quality insights.
- Experience directing or collaborating with data engineering teams; ability to scope analytical requests, evaluate technical outputs, and hold partners accountable to quality standards.
- Ability to prioritize tasks, activities, and deliverables to ensure timely completion of objectives in a dynamic, fast-moving environment.
- Ability to translate analytical findings into clear, concise outputs that support leadership decision making.
Compensation
- The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
See all Data Contributor Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Contributor Jobs at Microsoft.
Get Access To All JobsTips for Finding Data Contributor Jobs at Microsoft
Align your portfolio to Microsoft's data stack
Microsoft's Data Contributor roles frequently involve Azure-native tools, SQL pipelines, and internal data quality frameworks. Demonstrating hands-on experience with Azure Data Factory or Synapse in your resume and GitHub portfolio signals direct job fit before the interview stage.
Target roles listed under Microsoft's U.S. entity
Microsoft posts roles across multiple legal entities. Filter for positions explicitly tied to their Redmond or US-based engineering orgs, since those are the hiring units that file LCAs with DOL and run the standard H-1B sponsorship process.
Request visa sponsorship confirmation before final rounds
Microsoft's recruiting process moves quickly once you clear technical screens. Confirm sponsorship eligibility with your recruiter before the offer stage so there are no delays if you're on OPT or need a cap-subject H-1B petition filed in April.
Time your application around OPT STEM extension deadlines
If you're on F-1 OPT, USCIS requires your STEM extension application to be filed before your current OPT expires. Starting your Microsoft job search at least four months before that deadline gives you enough runway to receive an offer and file in time.
Use Migrate Mate to filter open Data Contributor roles
Identifying which Microsoft postings are actively open to sponsored candidates takes time on general job boards. Use Migrate Mate to browse Data Contributor listings at Microsoft filtered by visa type so you're only applying where sponsorship is confirmed.
Prepare for PERM documentation if you're targeting permanent residence
Microsoft sponsors Green Cards for qualifying technical staff through PERM-based EB-2 and EB-3 categories. Request documentation of your job duties in writing from your team early, since PERM filings require a precise match between your actual role and the certified job description.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Data Contributors?
Yes, Microsoft sponsors H-1B visas for Data Contributor roles. The company participates in the annual H-1B cap lottery each April and files petitions for qualifying technical employees. If you're already in H-1B status with another employer, Microsoft can also file an H-1B transfer, which lets you start working as soon as the transfer petition is received by USCIS.
Which visa types does Microsoft commonly use for Data Contributor roles?
Microsoft sponsors H-1B, E-3 visa, and H-1B1 visas for Data Contributor positions, as well as employer-sponsored Green Cards through EB-2 and EB-3 categories. Australian citizens are eligible for the E-3 visa, which has no lottery and renews in two-year increments. Chilean and Singaporean nationals may qualify for the H-1B1. The right visa depends on your nationality and current immigration status.
How do I apply for Data Contributor jobs at Microsoft?
You can find open Data Contributor positions on Microsoft's careers site or through Migrate Mate, which filters listings by visa sponsorship availability. Microsoft's hiring process for this function typically includes a recruiter screen, technical assessments focused on data pipelines and SQL, and a final round of behavioral and systems design interviews. Confirm sponsorship eligibility with the recruiter early in the process.
What qualifications are expected for Data Contributor roles at Microsoft?
Most Data Contributor openings at Microsoft require a bachelor's degree in computer science, information systems, or a related technical field. Practical experience with data pipelines, ETL processes, and cloud data platforms such as Azure is expected. Strong SQL skills and familiarity with data quality frameworks are frequently listed as requirements. Roles vary in seniority, so reviewing the specific job description carefully before applying is essential.
How do I understand the timeline for H-1B sponsorship at Microsoft?
Cap-subject H-1B petitions can only be filed once per year, with USCIS accepting registrations in March for an October 1 start date. If you receive an offer from Microsoft and need H-1B sponsorship, your start date will depend on whether you clear the lottery and whether premium processing is used. Transferring from another employer's H-1B is faster, since those petitions aren't cap-subject and can be filed any time.