Data Analyst, Reporting

Overview

The Data Analyst will drive business decisions by providing quantitative and qualitative data analysis, reporting patterns, insights and trends to decision-makers, and will partner with internal stakeholders to produce actionable reports.

What you'll do

• Collect, aggregate and analyze data from multiple internal and external sources to drive insights into business performance.
• Produce actionable reports showing key performance indicators, areas of improvement in current operations, and 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.
• 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.
• Support seasoned peers and management on difficult to complex data and reporting projects.
• Apply MeridianLink policies and procedures to resolve a variety of subject area-related issues.
• Work on problems of a moderate scope which are often varied and routine, reviewing a variety of factors in analysis of situations or data.
• Exercise judgment within defined procedures and practices to determine appropriate action.
• Apply learned techniques and contribute to analysis and investigation to solve problems.
• Build productive internal and external working relationships to resolve mutual problems by collaborating on procedures or transactions.

What you'll need

• 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.

Nice to have

• 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.

Details

• Work mode: US Remote.