• End-to-end ownership of data platform and BI layer • Contribute to a zero-waste future by reducing food waste and emissions • Evolve vendor-built BI solution into a modern data platform • Design and operate scalable pipelines and lakehouse architecture • Build and maintain customer-facing dashboards and embedded analytics • Define standards, data contracts, and architecture principles

• Lead the design, development, testing, and deployment of local and enterprise-level data models for analytics solutions. • Build and maintain ETL pipelines across multiple data sources and application ecosystems. • Optimize data models and query performance for efficiency, scalability, and maintainability. • Develop and monitor data quality dashboards, ensuring data accuracy and integrity. • Design, develop, test, and deploy interactive dashboards, reports, metrics, apps, and workspace objects using Power BI. • Build advanced analytics products such as forecasting models, prescriptive analytics, and sentiment analysis solutions. • Create and maintain data catalogs and monitoring frameworks for analytics assets. • Design and implement secure data access models, including dynamic Row-Level Security (RLS). • Develop protocols for seamless user access management and BI governance. • Collaborate on data-sharing policies, standards, and integration strategies. • Work closely with Solution Architects, Product Owners, and stakeholders to gather requirements and translate them into scalable analytics solutions. • Apply UI/UX best practices and analytics design principles in product development. • Facilitate demos, user acceptance testing (UAT), training sessions, and post-deployment hypercare support. • Participate in Agile delivery practices and contribute to continuous improvement initiatives.

• Maintain and update migration workplan trackers (mock run schedule, environment data refresh plan, reconciliation checkpoints, cutover readiness checklist) • Support requirements-to-data traceability: maintain source-to-target mapping tracker, transformation rule clarifications, and sign-off status across stakeholders • Perform data validation activities using agreed control framework (record counts, control totals, sample-based checks, exception analysis) against vendor outputs • Support reconciliation preparation and review (balance reconciliations, account-level variances, GL/SL tie-outs where applicable); document findings and follow up with owners • Manage defect and exception logs for data migration (capture issues, categorize root cause themes, track to closure, support evidence collation) • Coordinate data-related SIT/UAT readiness: confirm test data availability, refresh requests, masking requirements (if applicable), and resolve data blockers with vendor/IT teams • Prepare artifacts and evidence for governance and auditability (mapping approvals, run results, reconciliation reports, signoff packs, cutover runbooks attachments) • Produce regular status updates and dashboards for the Data Migration Lead (progress, risks/issues, decisions needed, upcoming milestones) • Support cutover activities and mock runs (checklist execution support, results collation, variance reporting, post-run lessons learned capture) • Ensure adherence to client data security and access controls when handling extracts, files, and non-production data.

• Design and develop interactive dashboards using Power BI for internal and external stakeholders • Translate business requirements into data-driven solutions that support decision-making • Build and optimize SQL queries and stored procedures to support reporting infrastructure • Implement embedded BI solutions for client-facing applications using Power BI Embedded • Manage dashboard performance, usability, and data integrity through QA and continuous improvements • Support teams with ad-hoc analysis and insights using SQL and BI tools • Work closely with cross-functional teams across Product, Engineering, and Client Success • Use REST APIs, Power BI Client Libraries, and scripting (JavaScript/TypeScript) for advanced integration • Drive best practices in data modeling, UX design, and dashboard performance tuning • Ensure data security and compliance with internal standards