• Write and optimize SQL queries to extract, manipulate, and analyze large datasets for business insights. • Build and optimize OLTP & OLAP dashboards for analytical reporting, enabling data-driven decision-making using any visualization tools such as Power BI or Tableau • High level knowledge of Python for data integration, manipulation, and automation. • Design and implement data architecture solutions that optimize data processes and improve efficiency. • Create and maintain end-to-end data pipelines from streaming platforms like Kafka to ensure real-time data availability on Snowflake or any other Database/Data Warehouse • Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications. • Optimize and streamline existing analytics processes to enhance reporting capabilities. • Manage relationships with key stakeholders, understanding their data needs and delivering timely, actionable insights.

• Write and optimize SQL queries to extract, manipulate, and analyze large datasets for business insights. • Build and optimize OLTP & OLAP dashboards for analytical reporting, enabling data-driven decision-making using any visualization tools such as Power BI or Tableau • High level knowledge of Python for data integration, manipulation and automation. • Design and implement data architecture solutions that optimize data processes and improve efficiency. • Create and maintain end-to-end data pipelines from streaming platforms like Kafka to ensure real-time data availability on Snowflake or any other Database/ Data Warehouse • Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications. • Optimize and streamline existing analytics processes to enhance reporting capabilities. • Manage relationships with key stakeholders, understanding their data needs and delivering timely, actionable insights.

• Own the strategy, execution, and monitoring of all sales analytics in our CRM • Design, develop and implement functional dashboards, visualizations and reports to produce a suite of metrics and analytics to monitor progress, identify trends, and proactively identify areas of opportunity • Serve as the primary stakeholder for all Payer-oriented analytics, including acting as the Payer team’s subject matter expert for data analyses and acting as the liaison between technical teams and business stakeholders to ensure alignment on goals and deliverables • Translate complex data into consumable and compelling visual narratives for external audiences and decision makers • Write business requirements for all new data needs • Develop and leverage strong cross functional relationships with Business Intelligence, Finance, Product, and Engineering to support a high-quality, holistic operating rhythm backed by relevant data across the organization. • Monitor and refine visualizations to ensure relevance and accuracy in decision making processes • Continually review industry trends in visualization platforms, techniques and methodologies to drive innovation and deliver scalable/impactful solutions • Ensure data quality, integrity, and security across all visualization outputs

• Collaborate with product owners, stakeholders, and development teams to gather, refine, and prioritize user stories and requirements. • Facilitate workshops, interviews, and agile ceremonies (e.g., sprint planning, backlog grooming, retrospectives). • Translate business needs into clear, actionable user stories, acceptance criteria, and process flows. • Analyze current digital banking processes, identify pain points, and recommend enhancements leveraging agile methodologies. • Support automation, digitization, and regulatory compliance in solution design. • Identify potential impacts of proposed designs to any element of the end-to-end process. • Work with cross-functional teams to design and validate solutions that meet business and customer needs. • Participate in solution evaluation, ensuring alignment with agile principles and maximizing value delivery. • Develop stakeholder maps and communication plans tailored to agile project environments. • Act as a liaison between business and technical teams, ensuring transparency and shared understanding. • Support the creation and execution of test plans, including user acceptance testing (UAT) and continuous feedback loops. • Troubleshoot issues and facilitate rapid resolution during sprints. • Maintain agile documentation (user stories, process maps, release notes). • Facilitate training and onboarding for new systems and processes. • Provide insights through data analysis to inform decision-making and measure project success. • Foster a culture of continuous improvement, leveraging agile metrics (velocity, burndown charts) and feedback.