Data Analyst (Reporting)

Join our team as a Data Analyst (Reporting) and drive business decisions through quantitative and qualitative data analysis. You will collect, aggregate, and analyze data from multiple sources to provide insights into business performance. Collaborate with internal stakeholders to produce actionable reports and build intuitive data visualizations. You will also contribute to the design, development, and maintenance of business intelligence tools. This role offers ongoing development opportunities, access to executives, a focus on health and wellness, celebrations, and community partnering.

• Collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance.
• Partner with internal stakeholders to produce actionable reports that show key performance indicators, identify areas of improvement in current operations, and display root cause analysis of problems.
• Collaborate to build intuitive data visualizations that offer deep and actionable insights against complex and dynamic business challenges in the Fintech space.

• Be able to work on problems of a moderate scope which are often varied and routine where analysis of situations or data requires a review of a variety of factors
• Be able to exercise judgment within defined procedures and practices to determine appropriate action
• Ability to build productive internal/external working relationships to resolve mutual problems by collaborating on procedures or transactions
• Hands-on experience with BI tools such as PowerBI or Tableau
• Bachelor’s degree and 2-4 years of relevant professional experience (or equivalent work experience)
• Ability to apply learned techniques and contributes to analysis and investigation to solve problems
• Experience with SQL is required
• This role will support seasoned peers and management on difficult to complex data and reporting projects. The individual will develop professional expertise within the role and be able to apply MeridianLink policies and procedures to resolve a variety of subject area-related issues
• Experience with Databricks
• Experience with Agile or Kanban project methodology
• General experience with Claude or other AI-powered analytics tools
• Exposure to data governance or data quality frameworks
• Python or R experience
• Familiarity with data visualization tool, Sigma
• Experience in a SaaS company or Fintech