Senior Business Analyst

As a Senior Business Analyst at Papaya, your primary responsibilities include capturing and standardizing data, designing dashboards, and analyzing complex business problems. You'll work closely with various teams to structure new datasets, develop analytics tools, and engage with senior stakeholders to deliver actionable insights. Your proficiency in SQL will allow you to write queries that capture essential data for analysis.

To be considered for the Senior Business Analyst role at Papaya, candidates should have at least 3 years of experience in analytics, product, or business operations. Essential qualifications include proficiency in SQL, statistical analysis, and experience with tools like Looker or Mixpanel. The ideal candidate should also demonstrate strong communication skills and an ability to navigate ambiguous situations.

Collaboration is key for a Senior Business Analyst at Papaya. You'll interact with teams across Finance, Product, Sales, Engineering, and Operations to gather insights and prioritize projects. This cross-functional collaboration ensures a deeper understanding of business needs and leads to impactful data-driven decisions.

At Papaya, a Senior Business Analyst will thrive in a fast-paced, sometimes unstructured environment that encourages creativity and ownership. You’ll be part of a diverse, inclusive team that values clear communication and continuous learning. Flexibility in work arrangements is also a key aspect, with remote options available for certain states.

While prior experience in Fintech, Healthtech, or subscription services is preferred, it is not mandatory for the Senior Business Analyst position at Papaya. However, having a background in these areas can be beneficial, as it often aligns with our mission to improve the payment experience for families.

When answering this question, be specific about your SQL experience by detailing projects where you've used SQL to analyze data or generate reports. Highlight your ability to write complex queries to extract meaningful insights or to normalize datasets, providing real examples of how those insights impacted business decisions.

Discuss your strategy for breaking down complex problems into manageable parts. Explain how you would gather data, consult with stakeholders for context, and prioritize tasks to develop a solution. Provide a concrete example where you successfully navigated ambiguity to achieve an outcome.

Mention any data visualization tools you’ve used, such as Looker or Tableau, detailing specific projects where these tools helped you communicate insights effectively. Explain your approach to designing intuitive dashboards and how they drove business decisions, ensuring to touch on your design philosophy.

Share your strategies for maintaining clear and open communication with stakeholders. Emphasize the importance of understanding their needs and feedback, and describe instances where your communication facilitated better collaboration and outcomes. You might also want to mention tools and techniques you utilize to communicate complex data.

When responding to this, provide a specific example of a project where your analytical skills led to performance improvements. Discuss the metrics you analyzed, the recommendations you made, and the results that followed, illustrating the direct impact of your work on business performance.

Discuss the resources you utilize to stay informed about industry developments, such as online courses, blogs, webinars, or professional organizations. Highlight a few recent trends or technologies that you are incorporating into your work and how they can benefit the company.

Articulate your view on the importance of combining technical data skills with a strong business understanding. Emphasize the significance of stakeholder communication and the ability to translate complex data into actionable insights that drive decisions.

Provide a specific scenario where you had to juggle multiple projects. Explain your prioritization process, how you communicated with stakeholders about expectations, and the techniques you used to ensure quality work despite tight deadlines.

Share your passion for data analysis and how it drives business improvements. Discuss the satisfaction you feel when your insights uplift a project or influence strategic decisions. You might also mention specific aspects of working at Papaya that excite you.

Choose a specific dataset you found challenging and outline your approach to cleaning, analyzing, and deriving insights from it. Discuss the techniques you used and the importance of perseverance in working through data complexities.