Data Analytics Engineer Jobs at Deloitte with Visa Sponsorship
Data Analytics Engineer jobs at Deloitte span consulting and advisory practices, working on client-facing projects that involve data infrastructure, pipeline development, and analytics delivery. The firm has a well-established process for sponsoring work visas for this function, supporting candidates through multiple nonimmigrant and immigrant visa pathways.
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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 Engineer Jobs at Deloitte
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Analytics Engineer Jobs at Deloitte.
Get Access To All JobsTips for Finding Data Analytics Engineer Jobs at Deloitte
Align your credentials to consulting delivery
Deloitte's Data Analytics Engineer roles are client-facing, so your resume should show project-based delivery alongside technical skills. Highlight experience building pipelines or dashboards in engagement contexts, not just internal tooling.
Target practice areas with recurring openings
Deloitte's Government and Public Services, Financial Advisory, and Technology practices consistently post Data Analytics Engineer roles. Applying within a specific practice area signals fit and improves your chances of reaching a hiring manager with active headcount.
Confirm visa type eligibility before your first interview
Deloitte sponsors H-1B, H-1B1 visa, E-3, and Green Card pathways. Knowing which category applies to your nationality lets you ask informed questions about timing and avoid late-stage surprises when the offer stage arrives.
Request H-1B transfer language in your offer
If you're already on an H-1B with another employer, Deloitte can file a cap-exempt transfer petition. Ask your recruiter to confirm this explicitly in writing before you resign, since the transfer must be filed before your current status lapses.
Understand Deloitte's PERM timeline for Green Card sponsorship
Deloitte does sponsor EB-2 and EB-3 Green Cards, but PERM labor certification typically begins after one to two years of employment. DOL processing alone can take 12 to 18 months, so plan your long-term status strategy accordingly.
Use Migrate Mate to filter open roles by visa type
Deloitte posts Data Analytics Engineer roles across multiple practice areas simultaneously. Use Migrate Mate to filter active openings by the specific visa sponsorship type relevant to you, so you're applying to roles where your visa pathway is already confirmed.
Frequently Asked Questions
Does Deloitte sponsor H-1B visas for Data Analytics Engineers?
Yes, Deloitte sponsors H-1B visas for Data Analytics Engineers. The firm participates in the annual H-1B lottery for new cap-subject petitions and also files cap-exempt transfers for candidates already holding H-1B visa status with another employer. Sponsorship is handled through Deloitte's internal immigration team, and the process typically begins after a formal offer is accepted.
How do I apply for Data Analytics Engineer jobs at Deloitte?
You can apply directly through Deloitte's careers portal or browse open roles filtered by visa sponsorship type on Migrate Mate. Deloitte's application process includes a resume screen, technical assessments focused on data engineering tools and SQL, and multiple rounds of interviews assessing both technical delivery and client communication skills. Tailoring your application to a specific practice area improves your visibility with hiring managers.
Which visa types does Deloitte commonly use for Data Analytics Engineer roles?
Deloitte sponsors H-1B, H-1B1 visa, and E-3 visas for Data Analytics Engineers, covering a broad range of nationalities. Australian citizens are eligible for the E-3, which has no lottery and allows two-year renewable periods. For longer-term immigration, Deloitte also initiates EB-2 and EB-3 Green Card sponsorship through PERM labor certification for qualifying employees.
What qualifications does Deloitte expect for Data Analytics Engineer roles?
Deloitte typically expects a bachelor's degree in computer science, information systems, engineering, or a related technical field. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, along with proficiency in SQL, Python, and data pipeline tools like dbt or Apache Spark, is expected. Consulting-relevant experience, including working on client deliverables or cross-functional data projects, differentiates competitive applicants.
How do I navigate the visa filing timeline after receiving an offer from Deloitte?
After accepting an offer, Deloitte's immigration team initiates the visa petition, which requires your employer to first file a Labor Condition Application with the DOL before USCIS can process the H-1B or E-3 petition. For cap-subject H-1B cases, you must be registered in the March lottery before a petition can be filed, meaning your start date cannot be earlier than October 1 of that fiscal year. Confirming your timeline with your recruiter before signing is essential.