Associate I, Finance Data & Systems

As an Associate I, Finance Data & Systems at Databricks, your primary responsibilities include automating financial close processes, developing enhancements for in-house solutions, building reports and dashboards for month-end reporting, and maintaining documentation of data models. You’ll also adhere to SOX control standards and provide end-user training for better data utilization.

To qualify for the Associate I, Finance Data & Systems role at Databricks, candidates should possess a Bachelor's degree in Finance, Accounting, Business, or a related field. Additionally, at least 3 years of experience in accounting, FP&A, or data analytics is required, along with proficiency in SQL, Python, and advanced Excel skills.

Databricks is committed to the professional development of its employees, including the Associate I, Finance Data & Systems. We offer various training sessions, workshops, and opportunities to collaborate with IT and Engineering teams to deepen your expertise and enhance your career growth within the company.

The work environment for an Associate I, Finance Data & Systems at Databricks is collaborative, innovative, and fast-paced. You will work closely with various teams, including Finance, IT, and Engineering, while being encouraged to share ideas and improve processes individually and as part of a team.

In the Associate I, Finance Data & Systems role at Databricks, you will utilize a variety of tools and technologies, including Microsoft Excel, SQL, Python, and ERP/CRM systems like NetSuite and Salesforce. Your ability to leverage these tools will be crucial in automating workflows and generating financial reports.

When answering this question, focus on specific projects where you've used SQL and Python to analyze or manipulate financial data. Highlight any successful automations you've implemented and how those projects benefited your previous employers.

Discuss your methods for maintaining data accuracy, such as implementing controls, regular reconciliations, and monitoring processes. Share examples of how you adhered to compliance standards, illustrating your attention to detail and organizational skills.

Respond by outlining the steps you typically follow for automating processes, mentioning tools you’ve used, and any methodologies, like Agile or Lean, that you've applied. Provide an example of a successful automation project to demonstrate your capability.

Use the STAR method to explain a specific situation where you and a colleague had differing analyses. Discuss how you communicated to resolve the disagreement, focusing on the importance of collaboration in problem-solving.

Identify key SaaS metrics such as Customer Lifetime Value (CLTV), Monthly Recurring Revenue (MRR), and Churn Rate. Explain why these metrics are pivotal in driving revenue growth and how you've utilized them in past roles.

Share your strategies for managing tight deadlines, such as creating a detailed task list, setting priorities based on impact, and using project management tools to track progress. Mention any frameworks you use to stay organized.

Talk about any data visualization tools you've used, such as Tableau or Power BI, detailing how you've used them to transform data into actionable insights. Provide an example of how visualization improved decision-making in your previous roles.

Explain your approach to training, such as developing user-friendly documentation, conducting hands-on workshops, and providing one-on-one support. Share a success story where your training significantly improved user engagement.

Discuss your experience identifying, documenting, and resolving bugs or issues in financial data systems. Provide an example of a challenge you faced and how you collaborated with your team to find a solution.

Share your passion for the intersection of finance and technology. Talk about what excites you about improving processes and contributing to a company’s financial health through data-driven decision-making.