Data Analytics Engineer Jobs at NTT DATA with Visa Sponsorship
Data Analytics Engineer jobs at NTT DATA span client-facing and enterprise projects, covering data pipeline development, BI tooling, and cloud analytics platforms. The company has an established sponsorship process for international candidates across multiple visa categories, making it a realistic target if you're navigating U.S. work authorization.
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Get Access To All JobsReq ID: 386956
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Data Analyst to join our team in Albany, New York (US-NY), United States (US).
Position Overview
The MECM Senior Data Analyst supports the Department of Health (DOH) Division of Operations and Systems (DOS) in quality assurance activities for the Medicaid Eligibility and Client Management (MECM) system. This role reviews data-related requirements, data models, data flows, data quality, reporting, analytics, testing evidence, and related SDLC artifacts across the MECM hybrid software development lifecycle. The position works with Department, QA, project, and vendor teams to support accurate data analysis, effective data quality review, clear findings and recommendations, and readiness across MECM wave-based implementation activities, including complex population migration, appeals, operational readiness, and related project tracking.
This is a hybrid position with travel to the client’s site, in Albany, NY.
Job Responsibilities Include:
- Review MECM data-related requirements, design, testing, implementation, reporting, analytics, and SDLC artifacts for completeness, accuracy, data quality, and alignment with approved business needs.
- Evaluate conceptual, logical, and physical data models, data flows, data mappings, interfaces, reports, dashboards, and data lineage documentation for accuracy and fit for MECM business processes.
- Use SQL data reporting tools, business intelligence tools, and related analysis tools to support data validation, issue identification, documentation review, and QA reporting.
- Review data transformations, aggregations, data exchanges, and reporting outputs to identify anomalies, inconsistencies, errors, and potential data quality concerns.
- Support review of MECM test cases, test data, test results, and related testing evidence to confirm data accuracy, completeness, and alignment with documented requirements.
- Assess data governance, metadata management, master data management, data quality standards, and related data management processes for alignment with Department needs.
- Evaluate data orchestration, integration, and analytics-related solutions for impacts to MECM functions, including complex population migration, eligibility-related appeals, reporting, and stakeholder processes.
- Identify data quality risks, open questions, data conversion or migration concerns, interface issues, reporting gaps, and related dependencies, and recommend follow-up actions.
- Support MECM hybrid SDLC by reviewing activities across release/wave planning, requirements, design, development, SIT, operational readiness, UAT, rollout, and implementation activities.
- Prepare QA findings, comments, recommendations, quality metrics, and status inputs to support Department review and follow-up on assigned MECM data activities.
- Coordinate with the Department, QA, project, and vendor teams to clarify data requirements, resolve open questions, confirm analysis results, and support timely review of assigned artifacts.
- Maintain assigned data analysis materials, review documentation, comment matrices, findings, status inputs, and supporting evidence in Department-designated repositories.
Required Qualifications:
- Bachelor’s degree in Finance, Management, Business, Health Care or related field
- Minimum 5 years of Quality Assurance and/or Data Analysis experience
- Minimum 1 year of database design, MS Access and SQL experience for creating and running queries
- Minimum 1 year of experience with MS Office (Excel, Word, PowerPoint, SharePoint)
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $81,120 - $169,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Req ID: 386956
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Data Analyst to join our team in Albany, New York (US-NY), United States (US).
Position Overview
The MECM Senior Data Analyst supports the Department of Health (DOH) Division of Operations and Systems (DOS) in quality assurance activities for the Medicaid Eligibility and Client Management (MECM) system. This role reviews data-related requirements, data models, data flows, data quality, reporting, analytics, testing evidence, and related SDLC artifacts across the MECM hybrid software development lifecycle. The position works with Department, QA, project, and vendor teams to support accurate data analysis, effective data quality review, clear findings and recommendations, and readiness across MECM wave-based implementation activities, including complex population migration, appeals, operational readiness, and related project tracking.
This is a hybrid position with travel to the client’s site, in Albany, NY.
Job Responsibilities Include:
- Review MECM data-related requirements, design, testing, implementation, reporting, analytics, and SDLC artifacts for completeness, accuracy, data quality, and alignment with approved business needs.
- Evaluate conceptual, logical, and physical data models, data flows, data mappings, interfaces, reports, dashboards, and data lineage documentation for accuracy and fit for MECM business processes.
- Use SQL data reporting tools, business intelligence tools, and related analysis tools to support data validation, issue identification, documentation review, and QA reporting.
- Review data transformations, aggregations, data exchanges, and reporting outputs to identify anomalies, inconsistencies, errors, and potential data quality concerns.
- Support review of MECM test cases, test data, test results, and related testing evidence to confirm data accuracy, completeness, and alignment with documented requirements.
- Assess data governance, metadata management, master data management, data quality standards, and related data management processes for alignment with Department needs.
- Evaluate data orchestration, integration, and analytics-related solutions for impacts to MECM functions, including complex population migration, eligibility-related appeals, reporting, and stakeholder processes.
- Identify data quality risks, open questions, data conversion or migration concerns, interface issues, reporting gaps, and related dependencies, and recommend follow-up actions.
- Support MECM hybrid SDLC by reviewing activities across release/wave planning, requirements, design, development, SIT, operational readiness, UAT, rollout, and implementation activities.
- Prepare QA findings, comments, recommendations, quality metrics, and status inputs to support Department review and follow-up on assigned MECM data activities.
- Coordinate with the Department, QA, project, and vendor teams to clarify data requirements, resolve open questions, confirm analysis results, and support timely review of assigned artifacts.
- Maintain assigned data analysis materials, review documentation, comment matrices, findings, status inputs, and supporting evidence in Department-designated repositories.
Required Qualifications:
- Bachelor’s degree in Finance, Management, Business, Health Care or related field
- Minimum 5 years of Quality Assurance and/or Data Analysis experience
- Minimum 1 year of database design, MS Access and SQL experience for creating and running queries
- Minimum 1 year of experience with MS Office (Excel, Word, PowerPoint, SharePoint)
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $81,120 - $169,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
See all Data Analytics Engineer Jobs at NTT DATA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at NTT DATA.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at NTT DATA
Align your portfolio to NTT DATA's client stack
NTT DATA's analytics work spans cloud platforms like AWS, Azure, and GCP for enterprise clients. Tailor your portfolio to show end-to-end pipeline work, not just dashboards. Recruiters screening for Data Analytics Engineers respond to applied infrastructure experience.
Clarify your visa category before applying
NTT DATA sponsors multiple visa types, and the right category affects your timeline significantly. F-1 OPT and CPT have different filing windows than H-1B or TN. Confirm which status you hold before your first recruiter screen so you can answer fluently.
Target NTT DATA's consulting arms strategically
Data Analytics Engineers at NTT DATA are often placed on client engagements, which means your resume needs to show cross-industry adaptability. Highlight projects in finance, healthcare, or government sectors, as those are common verticals in their U.S. consulting practice.
Understand how H-1B timing affects your start date
If you're relying on H-1B sponsorship, the annual cap means USCIS registration opens in March with an October 1 start at the earliest. Discuss this timeline explicitly with your recruiter so your offer letter and start date reflect the actual filing window.
Use Migrate Mate to filter open roles by visa type
Targeting a sponsoring employer efficiently matters more than applying broadly. Use Migrate Mate to filter Data Analytics Engineer openings at NTT DATA by the specific visa types they support, so you're applying to roles already matched to your authorization status.
Request PERM intent in writing for green card pathways
If you're targeting long-term status, ask during the offer stage whether the role is PERM-eligible. NTT DATA sponsors EB-2 and EB-3 categories, but PERM eligibility varies by role and business unit. Getting clarity early prevents surprises after you've accepted.
Frequently Asked Questions
Does NTT DATA sponsor H-1B visas for Data Analytics Engineers?
Yes, NTT DATA sponsors H-1B visas for Data Analytics Engineers. The company has a consistent track record of H-1B filings for technical roles in this category. Because Data Analytics Engineer positions typically require specialized degree-level knowledge in computer science, data engineering, or a related field, they generally qualify as specialty occupations under USCIS criteria.
How do I apply for Data Analytics Engineer jobs at NTT DATA?
You can apply directly through NTT DATA's careers portal or browse open roles filtered by visa sponsorship eligibility on Migrate Mate. When applying, make sure your resume reflects specific tools and platforms relevant to the role, such as SQL, Python, Spark, or cloud data services. Tailoring your application to the client-facing nature of NTT DATA's analytics work improves your chances of passing initial screening.
Which visa types does NTT DATA commonly use for Data Analytics Engineers?
NTT DATA sponsors H-1B, E-3 visa, TN visa, F-1 OPT, F-1 CPT, and employment-based Green Card categories including EB-2 and EB-3 for Data Analytics Engineers. E-3 visa is available exclusively to Australian citizens, while TN visa applies to Canadian and Mexican nationals under USMCA. F-1 OPT and CPT are typically used for candidates transitioning from U.S. university programs before H-1B sponsorship becomes available.
What qualifications does NTT DATA expect from Data Analytics Engineer candidates?
NTT DATA typically looks for candidates with a bachelor's or master's degree in computer science, information systems, or a closely related field. Hands-on experience with cloud data platforms, ETL pipeline development, and BI tools like Tableau or Power BI is expected. For visa sponsorship purposes, your degree must align with the role's technical requirements to satisfy DOL prevailing wage and USCIS specialty occupation standards.
How long does the sponsorship process take for a Data Analytics Engineer role at NTT DATA?
Timeline depends on your visa category. F-1 OPT can authorize work within weeks of an offer. H-1B sponsorship requires USCIS registration in March and an earliest start date of October 1, making early-year offers critical. TN and E-3 can move faster, often resolving at the port of entry or consulate within a few weeks of receiving a certified Labor Condition Application from your employer.