Data Analytics Manager Jobs at Deloitte with Visa Sponsorship
Data Analytics Manager jobs at Deloitte span its consulting and advisory practices, with the firm sponsoring a range of work visas for qualified candidates. If you're targeting this role, Deloitte's established sponsorship infrastructure and consistent hiring volume across its professional services business make it a strong employer to pursue.
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Get Access To All JobsAre you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Work you'll do/Responsibilities
- Conduct requirement-gathering sessions, workshops, and status meetings with client IT and business stakeholders
- Gather, document, and validate business and functional requirements related to provider data and claims processing
- Create and maintain Interface Contract Documents (ICDs) defining data exchange specifications between systems
- Work closely with the IT team to translate business requirements into Source-to-Target Mapping documents
- Perform data analysis to validate provider data accuracy, completeness, and consistency across systems
- Conduct defect and issue analysis, working with technical teams to identify root causes and drive resolution
- Support User Acceptance Testing (UAT), including test case review, issue triage, and stakeholder sign-off
- Act as a liaison between business and technical teams to ensure alignment throughout the project lifecycle
- Document and communicate project status, risks, and issues to relevant stakeholders
The Team
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required
- 4+ years of experience as a Systems Analyst within Healthcare Payer, specifically Medicare and Medicaid lines of business.
- Expertise in the Provider domain, including provider data management and data quality processes.
- Hands-on experience integrating provider data with the Facets platform for claims processing, including provider-to-member attachment logic.
- Experience managing end-to-end workstreams, from requirements gathering and functional specification through implementation and UAT support.
Preferred
- Strong client-facing communication and collaboration skills, with the ability to work across IT and business stakeholders, troubleshoot data issues, and drive delivery with minimal oversight.
For individuals assigned and/or hired to work in Ohio, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Ohio and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,600 to $159,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Analyst, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Work you'll do/Responsibilities
- Conduct requirement-gathering sessions, workshops, and status meetings with client IT and business stakeholders
- Gather, document, and validate business and functional requirements related to provider data and claims processing
- Create and maintain Interface Contract Documents (ICDs) defining data exchange specifications between systems
- Work closely with the IT team to translate business requirements into Source-to-Target Mapping documents
- Perform data analysis to validate provider data accuracy, completeness, and consistency across systems
- Conduct defect and issue analysis, working with technical teams to identify root causes and drive resolution
- Support User Acceptance Testing (UAT), including test case review, issue triage, and stakeholder sign-off
- Act as a liaison between business and technical teams to ensure alignment throughout the project lifecycle
- Document and communicate project status, risks, and issues to relevant stakeholders
The Team
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required
- 4+ years of experience as a Systems Analyst within Healthcare Payer, specifically Medicare and Medicaid lines of business.
- Expertise in the Provider domain, including provider data management and data quality processes.
- Hands-on experience integrating provider data with the Facets platform for claims processing, including provider-to-member attachment logic.
- Experience managing end-to-end workstreams, from requirements gathering and functional specification through implementation and UAT support.
Preferred
- Strong client-facing communication and collaboration skills, with the ability to work across IT and business stakeholders, troubleshoot data issues, and drive delivery with minimal oversight.
For individuals assigned and/or hired to work in Ohio, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Ohio and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $95,600 to $159,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See all Data Analytics Manager Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Manager Jobs at Deloitte.
Get Access To All JobsTips for Finding Data Analytics Manager Jobs at Deloitte
Frame your analytics experience around client outcomes
Deloitte's Data Analytics Manager roles sit within client-facing consulting teams. Structure your resume and interviews around measurable business impact you've delivered for clients, not just internal data projects. Consulting-specific framing signals you understand the delivery model.
Align your degree field to your target specialization
Deloitte files LCAs tying the role to a specialty occupation, meaning your degree field must directly relate to the analytics discipline you're being hired into. A mismatch between your academic background and the specific practice area can complicate the H-1B petition.
Target practice areas with recurring analytics demand
Deloitte's Government and Public Services, Financial Services, and Technology practices post Data Analytics Manager roles consistently. Targeting these practice areas in your applications increases your chances of landing in a team with an established sponsorship workflow.
Confirm LCA certification before your start date
Your employer must file a certified Labor Condition Application with the DOL before submitting your H-1B petition to USCIS. At a large firm like Deloitte, internal processing timelines can add weeks, so confirm the LCA is in progress well before your intended start date.
Use Migrate Mate to filter open roles by visa type
Not all Deloitte postings specify sponsorship availability upfront. Use Migrate Mate to filter Data Analytics Manager openings at Deloitte by the visa types they've sponsored, so you're only pursuing roles where your visa category is a known fit.
Understand how E-3 and H-1B1 speed up your timeline
If you're an Australian or Singapore citizen, Deloitte can sponsor E-3 or H-1B1 visas, which aren't subject to the annual H-1B lottery. These pathways allow year-round filing and can get you to a start date significantly faster than waiting for an H-1B cap season.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for Data Analytics Managers?
Yes, Deloitte sponsors H-1B visas for Data Analytics Manager roles. Deloitte has one of the most established visa sponsorship infrastructures among U.S. professional services firms, with dedicated immigration teams that manage petitions internally. The role typically qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in a quantitative or analytical field.
Which visa types does Deloitte sponsor for Data Analytics Manager roles?
Deloitte sponsors H-1B, H-1B1 visa, E-3 visa, and employment-based Green Cards including EB-2 and EB-3 for Data Analytics Managers. H-1B is the most common pathway for candidates from countries outside Australia and Singapore. Australian citizens can pursue the E-3 visa, and Singapore citizens can pursue the H-1B1, both of which bypass the H-1B lottery entirely.
What qualifications does Deloitte expect for Data Analytics Manager candidates?
Deloitte generally expects a bachelor's degree in a quantitative discipline such as statistics, computer science, engineering, or information systems, along with several years of progressive analytics experience. At the manager level, experience leading analytics workstreams or client engagements is prioritized. Proficiency in tools like SQL, Python, or Tableau and familiarity with cloud platforms are commonly required.
How do I apply for Data Analytics Manager jobs at Deloitte?
You can browse and apply for Data Analytics Manager openings at Deloitte directly through Migrate Mate, which filters roles by visa sponsorship type so you can confirm your visa category is supported before applying. Roles are posted by practice area and location, and the application process runs through Deloitte's career portal where you'll complete an online profile and submit your resume.
How do I plan my timeline around the H-1B process for a Deloitte offer?
If you're pursuing an H-1B, USCIS opens registration in March for an October 1 start date. You'll need a job offer secured well before March to be included in that cap season. If you're not selected in the lottery, Deloitte's ability to sponsor E-3 or H-1B1 visa may provide an alternative if you qualify by nationality. Premium processing is available for faster adjudication once a petition is filed.