Project Analyst Jobs in Arizona (NOW HIRING)

Business 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 Business 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
• 4+ Years Experience Familiarity with Snowflake
• 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

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 $69,000 to $127,000.

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.

Business 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 Business 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
• 4+ Years Experience Familiarity with Snowflake
• 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

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 $69,000 to $127,000.

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.