The Data Analyst will drive business decisions by providing quantitative and qualitative data analysis and reporting patterns, insights, and trends to decision-makers. This role will collect, aggregate, and analyze data from multiple internal and external sources to drive insights into business performance. The role will 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.
Expected Duties:
Collaborate to build intuitive data visualizations that offer deep and actionable insights against complex and dynamic business challenges in the Fintech space
Expected to take ownership of the UX/UI experience delivered to users across multiple data products
Expected to contribute to the design, development, and maintenance of business intelligence tools
Responsible for helping identify the business data needed to produce the most useful insights and future analytics
Partner with stakeholders to communicate findings and recommend data-driven improvements to operations
Qualifications: Knowledge, Skills, and Abilities:
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.
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 apply learned techniques and contributes to analysis and investigation to solve problems
Ability to build productive internal/external working relationships to resolve mutual problems by collaborating on procedures or transactions
Bachelor’s degree and 2-4 years of relevant professional experience (or equivalent work experience)
Hands-on experience with BI tools such as PowerBI or Tableau.
Experience with SQL is required.
Preferred Qualifications:
Experience in a SaaS company or Fintech
Familiarity with data visualization tool, Sigma
Python or R experience
Exposure to data governance or data quality frameworks
General experience with Claude or other AI-powered analytics tools
Experience with Agile or Kanban project methodology
Experience with Databricks