Data Analyst, Reporting - MeridianLink

The Data Analyst will play a crucial role in driving business decisions by providing quantitative and qualitative data analysis, reporting patterns, insights, and trends to key stakeholders. This position involves collecting, aggregating, and analyzing data from various internal and external sources to generate insights into business performance. You will partner with internal stakeholders to produce actionable reports that highlight key performance indicators, identify areas for operational improvement, and conduct root cause analysis of problems.

Responsibilities

• Collaborate to build intuitive data visualizations that offer deep and actionable insights against complex and dynamic business challenges in the Fintech space.
• Take ownership of the UX/UI experience delivered to users across multiple data products.
• Contribute to the design, development, and maintenance of business intelligence tools.
• Help 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

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.

Required

• Ability 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.
• Ability to exercise judgment within defined procedures and practices to determine appropriate action.
• Ability to apply learned techniques and contribute 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

• 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.