• partner with department leaders to define KPIs and ensure data initiatives directly support business objectives; • maintain high standards for data documentation and quality within the specific business domain; • oversee the end-to-end delivery of localized data products, ensuring data is clean, modeled and ready for non-data experts; • evaluate priorities to efficiently balance resources and develop data specialists according to the team needs; • identify and automate manual workflows to improve team efficiency and data reliability; • act as the primary technical point of contact for the business unit, translating complex data requirements into actionable insights; • sync with the central Data teams to ensure local data models align with Wellhub’s global data architecture; • inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

• Collaborate with the data team to collect, clean, and analyze data from various sources. • Assist in creating and maintaining reports and visualizations to track key metrics. • Support data-driven decision-making by providing insights and recommendations. • Help maintain data quality and accuracy through regular audits and checks. • Learn and apply data analysis tools and techniques. • Participate in team meetings and contribute to data-related discussions.

• Collect, clean, and organize large datasets for analysis • Perform quantitative and qualitative analysis to identify trends and patterns • Support investment team in evaluating potential investment opportunities • Assist with financial modeling and forecasting • Conduct market research to identify industry trends and competitive landscapes • Create and maintain databases and analytical tools • Prepare reports and presentations for senior management and investors

• Determining organizational goals • Mining data from different sources • Managing master data by creating, updating, cleaning, and trimming data • Grant technical expertise on cleaning, trimming, and storage of data • Analyze and interpret results • Identify trends, correlations, and patterns in complicated data • Present findings and concise data reports • Design relational databases and data systems • Work with management teams to set up business and information needs • Come up with new process improvement opportunities • Promoting data integrity and normalization • Evaluating changes and updates