
Data Analytics & Insights Specialist
Rosslyn, VAJob$96–188K/yrSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
The Project Analytics & Insights Engineer III on Deloitte’s AI & Data team designs and develops AI-enabled solutions to process unstructured data using client-approved tools. The role supports government and public-sector clients through project delivery. Candidates must have a bachelor’s degree, specified experience in AI model building, Azure data engineering and analytics, Power Platform, and a related financial industry, and must be authorized to work in the United States without sponsorship.
Skills & qualifications
Skills
Qualifications
Full job description
Join our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering 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.
Work You'll Do
As a Project Analytics & Insights Engineer III on the AI & Data team, you will design and develop AI enabled solutions to process unstructured data using client approved tools such as Azure AI Document Intelligence; Power Platform Tools; Python; Databricks.
A successful candidate would possess:
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Ability to work independently and collaborate as part of a team
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Effective written and verbal communication skills
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Meticulous attention to detail and quality of work product
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Ability to build and sustain professional relationships
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Ability to lead projects or workstreams
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Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
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Strong interpersonal skills and professional demeanor
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Ability to meet deadlines
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Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
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.
Qualifications
Required:
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Bachelor's degree
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Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
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Must be able to obtain and maintain a Public Trust clearance
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4+ years of experience in AI Model Build
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4+ years of experience in Microsoft Azure Data Engineering, Intelligence and Analytics
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4+ years of experience with Microsoft Power Platform
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3+ years of experience in Financial Services, Banking, Mortgage, or related industry
Preferred:
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1+ years of experience with Databricks
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3+ years of experience with MS Azure SQL Server
The wage range for this role 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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. 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 $188,400.
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
How this job compares
Set against the 2,486 open Data Analytics jobs on Olive Jobs, counted October 29, 2026.
- Pay
- This posting$96–188K/yr
- Virginia median$125–203K/yr85 salary ranges
- US median$119–195K/yr1,749 salary ranges
This range's midpoint, $142K, is 14% below the Virginia median midpoint ($166K) — in the middle half of Data Analytics salary ranges in Virginia.
- Openings
- Olive Jobs lists 129 open Data Analytics jobs in Virginia and 2,486 across the US. 4% of them nationwide are listed as remote or flexible.
- Hiring the most in Virginia
- Capital One27 open
- Deloitte (this employer)14 open
- Serco11 open
- Experience
- This posting asks for at least 4 years of experience; Data Analytics postings that state a minimum ask for 5 years at the median (1,935 postings).
- Education
- This posting asks for a bachelor's degree; 1,196 of the 2,486 open Data Analytics jobs (48%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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