Financial Data Analyst

Summary

Join Paddle's finance team as a Financial Analyst and play a crucial role in ensuring the accuracy and real-time availability of financial data. You will work closely with the Finance Operations Manager, creating, maintaining, and improving financial reports across accounting, tax, and treasury. This fast-paced role involves supporting annual audits, providing data analysis, and collaborating with the Data Engineering team to optimize reporting infrastructure. You will leverage your expertise in relational databases, SQL, Excel, and BI tools to contribute to strategic planning and identify areas for improvement in reporting processes. The ideal candidate possesses strong commercial experience, problem-solving skills, and experience working with large datasets within a financial organization or with finance teams.

Requirements

• You have strong commercial experience in relational database structures, SQL, and Excel
• You have experience working within a financial organisation or with finance teams
• You have experience working with large data sets
• You’re a great problem solver
• You have strong data visualisation and presentation techniques

Responsibilities

• Work closely with the Finance teams to produce and maintain a series of key reports needed for Paddle’s financial reporting
• Work on scoped briefs under the guidance of the Finance Operations Manager and other Finance Managers
• Be able to build, and work with Data Engineering to build out the reporting infrastructure across our BI tools and data stack
• Become a subject matter expert on Paddle financial data, and the tools we use
• Contribute to strategic planning by recognising areas of weakness or upcoming change, and efficiency improvements in our reporting across: Global tax filings; Month end reporting across sales and revenue
• Continually evolve our data collection, processing and reporting structures through scoping new tools and methods to help the Finance team support the wider business

Preferred Qualifications

• Experience with Pigment is a plus
• Working knowledge of Dbt and Snowflake is a plus
• You have exposure to BI and ETL tools, such as Sisense, Looker, Tableau and PowerBI
• Have experience in working for start ups / scale ups, or financial organisations, and can work in an unstructured environment

Benefits

• Attractive salaries
• Stock options
• Retirement plans
• Private healthcare
• Well-being initiatives
• Work remotely
• Unlimited holidays
• Enhanced parental leave
• Annual learning fund
• Regular internal and external training