Visa Status: US Citizens / Green Card Holders Only
Overview
We are looking for a Data Product Analyst to play a key role in developing and advancing a customer data and analytics ecosystem.
This role will lead the discovery, onboarding and integration of data from multiple sources into a central data platform, working closely with business stakeholders, external partners, vendors and technical teams.
Acting as the bridge between business and technology, you will translate business objectives into actionable data requirements, coordinate complex integration initiatives and help establish scalable, governed data practices.
The successful candidate will combine strong project and stakeholder management capabilities with a solid understanding of data infrastructure, data management and SQL. This is a varied position requiring someone who can move comfortably between coordinating cross-functional programmes and getting hands-on with data validation and quality assurance.
Key Responsibilities
- Lead the discovery, onboarding and integration of new customer data sources into a central data platform.
- Coordinate data acquisition and integration activities across business units, international markets, vendors and third-party partners.
- Manage the data product roadmap, including priorities, milestones, risks, dependencies and stakeholder communications.
- Translate business requirements into detailed data requirements, user stories, acceptance criteria and monitoring needs.
- Establish and maintain standardised data definitions, collection methodologies, schemas and reporting frameworks.
- Work closely with data engineering, architecture, analytics, governance, privacy and business teams to take data sources from initial discovery through to production.
- Support data source onboarding through profiling, validation, testing, quality assessment and issue resolution.
- Develop and maintain an inventory of existing data sources, integration opportunities and associated requirements.
- Coordinate programme updates, executive reporting and cross-functional working sessions.
- Support the development of consistent customer measurement methodologies and reporting frameworks.
- Contribute to customer-level data models, identity management approaches and consent-aware data practices.
- Enable analytical capabilities that connect customer data with engagement, retention, acquisition and overall customer lifecycle insights.
Required Qualifications
- 3+ years of experience in data product management, data strategy, analytics, business analysis or a related field.
- Experience leading complex data integration or data platform initiatives from initial planning through to implementation.
- Strong understanding of data pipelines, APIs, file-based integrations, ETL/ELT processes, data modelling and cloud-based data platforms.
- Demonstrated ability to manage cross-functional programmes involving both technical and business stakeholders.
- Experience gathering business requirements, defining processes and translating stakeholder needs into technical solutions.
- Strong analytical and problem-solving skills, including practical experience using SQL and data analysis techniques.
- Excellent written and verbal communication skills, with the ability to engage effectively with stakeholders at different levels.
- Ability to manage multiple priorities, work independently and operate effectively in a fast-paced environment.
Preferred Experience
- Experience working with customer, consumer, membership, registration, loyalty or engagement data.
- Experience coordinating with external vendors, international organisations or decentralised business partners.
- Familiarity with data governance, metadata management, privacy requirements, consent management and data quality practices.
- Experience with customer identity resolution, Customer Data Platforms (CDPs) or Master Data Management (MDM) initiatives.
- Experience developing KPI frameworks, dashboards, executive reporting and self-service analytics solutions.
- Knowledge of research methodologies, survey-based measurement and longitudinal analytics.
- Experience working with AWS, Snowflake, GCP or similar modern data platforms.
