Catapult Federal Services is a well-established financial technology company transforming how individuals and small businesses manage their finances. They are seeking a hands-on Business Data Analyst contractor to join an analytics team, working directly with product managers and stakeholders to provide insights that drive growth and strategy.
Responsibilities:
- Partner with product managers, marketers, and business leaders to identify analytical opportunities and define key metrics
- Design, build, and maintain scalable data pipelines and analytical models using SQL and large-scale distributed systems
- Develop and own business-facing dashboards and reporting tools using Tableau and similar BI platforms
- Apply advanced quantitative analysis techniques to evaluate business performance, user behavior, and growth opportunities
- Communicate complex analytical findings clearly to both technical and non-technical stakeholders through written reports and presentations
- Collaborate cross-functionally to ensure data accuracy, consistency, and accessibility across teams
- Contribute to a culture of data literacy and best practices within the analytics organization
Requirements:
- 4+ years of experience in quantitative analysis or a closely related data-focused role
- Proficiency in SQL, including experience with MySQL and/or PostgreSQL
- Hands-on experience with Tableau or comparable BI/data visualization tools
- Strong communication skills with a demonstrated ability to translate complex technical findings for diverse audiences
- Experience with Python or a similar high-level programming language for data analysis and automation
- Experience with R or similar statistical analysis software
- Familiarity with Hadoop, HDFS, Hive, HBase, and/or related MapReduce technologies
- Experience with large-scale MPP systems such as Vertica or Amazon Redshift
- A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is preferred. Equivalent practical experience will be considered
- Experience working in a fintech, SaaS, or consumer technology environment
- Exposure to ggplot2 or other data visualization libraries within R
- Familiarity with agile or product-led development environments
- A genuine passion for data, analytics culture, and continuous learning