Product Analyst
2 weeks ago
Fi Money is a cutting-edge financial management app designed to simplify your life. With Fi, you can save, pay, invest, or borrow, all in one place. You can track and analyze your expenses across Fi and all your other bank accounts. You can also apply for a credit card, access instant loans, and grow your wealth with our range of investment options.
About the RoleData drives decision-making at Fi Money, and our analysts play a crucial role in shaping strategic decisions. Our team collaborates with analysts from various functions, including product, finance, tech, and marketing, to gain valuable insights that inform our decisions.
Why Analytics Matters at Fi- We're a data-oriented tribe that views analytics as both art and science, working together to create meaningful impact.
- We follow a structured approach to analytics, empowering our analysts to develop comprehensive and forward-thinking solutions.
- Analysts work across multiple functions, partnering with teams to guide projects from start to finish.
- We continuously build frameworks for problem-solving and in-house capabilities through tools and automation.
- Our rich data ecosystem is supported by a dedicated Data Engineering team, collaborating with analysts to build high-performance solutions.
- Analysts are sought after by teams across functions for their insights, helping shape product and user experience.
- Analysts take end-to-end ownership of projects, from building visibility on metrics to achieving business outcomes.
- A passion for analytics, driven by curiosity and a love for intellectually challenging work.
- Strong first-principle thinking and ability to apply analytics to real-life business problems.
- Clear communication skills and ability to coordinate with diverse teams and stakeholders.
- Self-management and delivery skills, thriving in a fast-paced startup environment.
- Understanding of data structures and expertise in statistical data analysis, including linear models and scenario-based sensitivity analyses.
- Experience with data programming languages (Python, R, SQL) and visualization tools (Tableau, PowerBI).
We'll review applications and reach out if we find a suitable match. The process involves a technical assessment/assignment followed by 3-4 interviews covering problem-solving, data interpretation, data design, and general cognitive ability.
We strive to create an inclusive culture of diverse people, employing individuals solely based on merit without discrimination.
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