Job Overview
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Job Description
Data Analyst - Project Delivery Senior Analyst - AI & Engineering
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.
Recruiting for this role ends on April 30, 2026
Work You'll Do/Responsibilities
- Partner with product owners and business stakeholders to intake, clarify, and document analytics needs (problem statements, scope, assumptions, success metrics/KPIs).
- Translate needs into Agile/SAFe-ready work: epics/features/user stories, acceptance criteria, and sprint-ready backlog items; support sprint planning/reviews/retros and cross-team coordination.
- Provide ad-hoc analysis and "quick-turn" reporting (directional insights, quick views) and, where appropriate, build lightweight dashboards in Tableau/Power BI; collaborate with BI/reporting developers to industrialize high-usage reporting.
- Support recurring analyses/reports (monthly/biweekly/weekly as applicable): define requirements, validate outputs with stakeholders, and maintain runbooks.
- Coordinate/support UAT and release/change activities (dependency tracking, risk/issue management, stakeholder comms) aligned to our client's standards and governance processes.
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
The Team
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 Experience in Analytics + data skills: strong analytical thinking; ability to frame ambiguous questions; SQL proficiency for querying/validating datasets; strong Excel
- 4+ Years Experience with BI tooling: hands-on Tableau and/or Power BI (building or enhancing reports/dashboards); understanding of metrics/KPI definitions and dashboard usability
- 4+ Years Experience in Structured Storytelling abilities in PPT
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
Preferred
- Familiarity with modern data platforms/warehouses (e.g., Snowflake)
- Stakeholder management: crisp communication, expectation-setting, and ability to handle high-volume ad-hoc requests with clear prioritization and turnaround commitments.
- Analytical/ Decision Making Responsibilities: Analytical ability to manage multiple projects and prioritize tasks into manageable work products
- Can operate independently or with minimum supervision
- Excellent Written and Communication Skills
- Ability to deliver technical demonstrations
Key Skills/Competency
- Data Analysis
- SQL
- Tableau
- Power BI
- Excel
- Agile/SAFe
- Stakeholder Management
- Project Delivery
- Analytics Needs
- Structured Storytelling
How to Get Hired at Deloitte
- Tailor your resume: Highlight your 4+ years of experience in analytics, SQL, Tableau/Power BI, and structured storytelling.
- Showcase your skills: Emphasize your ability to frame ambiguous questions, manage multiple projects, and operate independently.
- Address qualifications: Ensure your resume reflects a Bachelor's degree in a relevant IT discipline or equivalent experience.
- Prepare for interviews: Be ready to discuss your experience with data platforms and stakeholder management.
- Demonstrate communication: Practice clear, crisp communication and your ability to deliver technical demonstrations.
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