Data Analyst

Employment type: Full-time

Pay: $76,800 - $96,000/year

Job summary

Turn data from internal and external sources into reports and visualizations that support business decisions. You will analyze business performance, track key performance indicators, identify operational improvements, and investigate the root causes of problems.

Working with internal stakeholders and experienced analytics colleagues, you will help develop business intelligence tools and improve the user experience across multiple data products.

Core responsibilities

• Collect, aggregate, and analyze data from multiple sources to identify patterns, trends, and actionable insights.
• Build intuitive data visualizations that address complex business challenges in financial technology.
• Take ownership of the user experience and interface across multiple data products.
• Contribute to the design, development, and maintenance of business intelligence tools.
• Identify the business data needed to support useful reporting and future analytics.
• Create reports that highlight performance indicators, operational improvement opportunities, and root causes.
• Communicate findings to stakeholders and recommend improvements supported by data.
• Support experienced peers and management on complex data and reporting projects.

Required qualifications

• Bachelor's degree and 2-4 years of relevant professional experience, or equivalent work experience.
• Hands-on experience with business intelligence tools such as Power BI or Tableau.
• Experience with SQL.
• Ability to analyze problems of moderate scope by considering multiple factors.
• Sound judgment when applying established procedures and practices.
• Ability to apply analytical techniques to investigate and resolve problems.
• Ability to build productive relationships with internal and external partners.

Preferred experience

• Experience in SaaS or financial technology.
• Familiarity with Sigma.
• Experience with Python or R.
• Exposure to data governance or data quality frameworks.
• Experience with Claude or other AI-powered analytics tools.
• Experience with Agile or Kanban methodologies.
• Experience with Databricks.

Pay and benefits

Salary depends on experience, geographic location, and other job-related factors. Offers are typically below the top of the range.

• Medical, dental, vision, life, and disability insurance.
• Flexible paid time off and paid holidays.
• 401(k) plan with company match.
• Remote work.