About the role
Kard is transforming customer loyalty with our rewards-as-a-service API platform. We empower our partners, from neobanks to financial institutions and beyond, to offer tailored rewards that celebrate customers' daily transactions. Backed by $30M from industry-leading investors and seasoned experts, we are reshaping the future of customer engagement.
About
the Role Note: We are currently only able to hire candidates residing in India for this fully remote position. Kard is looking for a detail-oriented, service-minded Data Support Analyst to join our Data team. This role will serve as a primary point of contact for ad-hoc data requests from Sales and other internal teams, helping stakeholders access, understand, and troubleshoot the data they need to work effectively. The Data Support Analyst will use SQL, Databricks, Count, spreadsheets, and other internal tools to investigate questions, fulfill requests, resolve basic data issues, and support routine data operations. The ideal candidate is technically capable, responsive, and comfortable translating loosely defined business questions into accurate, useful data outputs.
Responsibilities: Fulfill ad-hoc data and reporting requests from Sales and other internal teams using SQL, Databricks, Count, and spreadsheets Work with stakeholders to clarify business questions, define
requirements, and deliver clear, accurate answers Investigate data discrepancies, missing records, unexpected reporting results, and other basic data issues Resolve straightforward issues independently and escalate more complex problems with clear documentation and supporting evidence Support routine data maintenance, validation, and other operational data needs Identify recurring requests that can be addressed through reusable queries, reports, documentation, or self-service resources Desired Skills: 3–6 years of experience in data analysis, business intelligence, analytics support, data operations, or a similar role Strong SQL skills and experience using data to answer business questions and troubleshoot issues Experience with modern data and analytics tools; familiarity with Databricks or Count is a plus Strong spreadsheet skills, including data validation, lookups, pivot tables, and general analysis Ability to translate ambiguous requests into clear analytical
