• Design and develop stakeholder-facing analytical applications, including interactive Power BI dashboards and custom HTML/CSS/JavaScript visualizations. • Apply user experience (UX) design principles — including information architecture, responsive layout, and usability heuristics — to maximize clarity across technical and non-technical audiences. • Select and implement front-end data visualization libraries to render complex dimensional relationships as intuitive, interactive experiences. • Build and maintain reporting deliverables across Power BI semantic models, interactive HTML dashboards, and formatted Excel workbooks, translating complex dimensional relationships into stakeholder-ready visualizations. • Perform exploratory, diagnostic, and predictive analysis across structured and semi-structured datasets, applying statistical methods including descriptive, inferential, and regression analysis. • Proactively mine organizational data assets to discover new insights, identify emerging trends, and surface previously unrealized opportunities that inform strategic decision-making. • Translate business objectives into measurable KPIs and build analytical frameworks through stakeholder requirements elicitation. • Communicate findings via data storytelling, narrative-driven briefings, and self-service reporting assets. • Build and maintain Power BI semantic models including DAX measure authoring, calculated table design, and row-level security configuration. • Create and maintain technical documentation covering report specifications, visualization design standards, analytical methodologies, data source mappings, and end-user reference guides.

• Lead and grow the data modeling function within Business Data & Analytics • Own the data models and transformation layer • Mentor a high-performing team of analytics engineers • Partner closely with Finance-aligned Data Analysts • Establish data engineering best practices and modeling standards

• Develop the DWH core model that transforms raw Kafka topics into documented, easy-to-use data products that bring value to data consumers • Collaborate closely with data engineers to develop our streaming ETL framework and improve its reliability and user experience • Help the team deliver new features and maintain the existing ones in the OpenMetadata data catalog • Actively participate in data quality and data governance tools and processes implementations • Partner with data consumers across the business, supporting their daily data needs and turning requirements into reliable, well-documented data products • Tackle unique challenges that come with building a Data Platform from scratch

• Take ownership of our dbt pipeline, improving our data models so they're reliable, well-tested, and easy to build on. • Maintain and extend our Looker setup, and ship new dashboards and reports that customers and other stakeholders depend on. • Strengthen our data pipeline from Postgres to BigQuery, and build custom Python scripts to automate the flows that keep our warehouse fresh. • Integrate our data warehouse with external tools like Salesforce or ActiveCampaign, so the right data reaches the teams that need it.