Data Product Analyst

Data Product Analyst - Analyst

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Product Analyst - Analyst, you will have the opportunity to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model tailored specifically for long-term, onsite client service delivery. Work you'll do / Responsibilities You will support a Data & Analytics Foundry operating across numerous business product teams in a scaled staff augmentation model, serving as a shared data product and analytics resource across the Media Network analytics framework. Proactively identify, document, and catalog gaps in existing data products that are causing delays, inefficiencies, or limitations. Translate identified gaps into a centralized intake process and shared backlog for prioritization and execution. Partner across pods and business product teams to align priorities, dependencies, and resolution plans. Coordinate shared resources and cross-functional contributors to address data product issues efficiently and effectively. Act as a cross-pod connector to drive representation, alignment, and consensus across teams. Elevate point solutions into scalable, reusable, and governed capabilities that improve measurement consistency and reduce duplication. Define and maintain data product requirements, successful metrics, and user adoption KPIs. Conduct product experiments and support market and user research to better understand data consumption patterns and feature needs. Prioritize enhancements and product features based on business value, user demand, feasibility, and impact. Document data product roadmaps, release plans, and operational support requirements. Analyze and measure product performance and partner with engineering, QA, and business stakeholders to deliver iterative improvements. Evaluate data usability, quality, and business value to inform product decisions. Apply familiarity with data modeling and BI concepts to support effective product design and analytics enablement. Support governance, metadata, and documentation standards to improve transparency, usability, and trust in data products. Communicate regularly with engagement leadership, project team members, and functional and technical stakeholders, including escalating issues requiring management attention. Independently and collaboratively support client engagement workstreams focused on improving analytics capabilities, resolving delivery bottlenecks, and driving operational outcomes. Recruiting for this role ends on June 15th, 2026.

The Team AI & Data – AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated solutions across software, data, AI, networks, and cloud infrastructure. These solutions are powered by engineering for business advantage, helping transform mission-critical operations. Our teams enable clients to modernize technology and data platforms while delivering scalable, high-value outcomes tailored to their business needs.

Qualifications Required 1+ years of relevant experience in data analytics, data products, product analysis, or related roles. Strong analytical thinking and the ability to frame ambiguous questions into structured problem statements. Proficiency in SQL for querying, validating, and analyzing datasets. Strong Excel skills. Experience gathering and documenting business and data product requirements. Ability to define success metrics and user adoption KPIs for data products. Experience analyzing data usability, quality, and business value. Understanding data consumption patterns and feature prioritization. Ability to work proactively and independently in a fast-paced environment. Results-driven mindset with the ability to deliver work on time. Understanding of governance, metadata, and documentation standards. Familiarity with data modeling and BI concepts to support product design decisions. 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 up to 10%, on average, based on project and client needs. Preferred Familiarity with Media Network analytics. Experience working in cross-functional products, analytics, engineering, and QA environments. Experience conducting product experiments and user or market research. Experience maintaining data product roadmaps, release plans, and operational support models. Agile delivery experience. Strong written and verbal communication skills. Ability to manage multiple priorities and stakeholders with minimal supervision.