Product Analytics
Job Summary
Job Description
The Product Analytics role at Fi involves driving strategic decisions using data analysis. Analysts collaborate with various teams to provide insights for product development and user experience improvements. They work within a data-driven environment, building frameworks for problem-solving and utilizing a comprehensive data ecosystem. Analysts take end-to-end ownership of projects, from visibility on metrics to achieving business outcomes.
Must have:
- Passion for analytics, strong analytical skills, and first-principle thinking.
- Clear communication style and ability to coordinate with different teams.
- Ability to self-manage priorities in a fast-paced startup environment.
- Solid understanding of data structures and expertise in statistical data analysis.
- Experience with data programming languages like Python, R, SQL and visualization tools.
11 skills required
Job Details
Fi is a new age money management app designed to simplify your financial 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 and more with our range of investment options.
What we’re looking for:
Data is central to decision-making at Fi and our analysts play a major role in driving strategic decisions. Teams across functions from product and finance to tech and marketing collaborate with our analysts for insights to make informed decisions. Analysts at Fi work with data to craft compelling narratives towards decisions that take the product to the next level. We're all about the pursuit of making more intelligent and faster decisions at Fi through analytics. We take this endeavour very seriously while having fun creating value for ourselves and the organisation.
How is analytics different at Fi:
- Starting with the founding team, we’re a data-oriented tribe that believes deeply in your craft. We look at Analytics as both art and science coming together to create impact.
- We have a structured approach to analytics that enables our analysts to index on building comprehensive and forward-thinking solutions rather than solving one problem at a time.
- Analysts gain experience across product, tech, business and marketing functions. The analytics journey begins when product or business looks for guidance. Analysts partner with other teams to guide this journey to conclusion.
- We are constantly working to build frameworks of problem solving in addition to building in-house capabilities through tools and automation.
- Analysts work on a rich data ecosystem, supported by a full-fledged Data Engineering team that collaborates with analysts to build high-performance solutions, think Data ‘Products’.
- Analysts are sought after by teams across functions for their insights to help shape product and user experience.
- Analysts take end-to-end ownership of projects, from building visibility on various metrics to achieving business outcomes.
- We aspire to be the most fun and impact-making team within the organisation through our thought leadership, actions and communication.
Some ideal things to have:
- A passion for analytics, a love of what it is - tough, intriguing, never dull, always intellectually challenging and constantly demanding that you expand your skill set
- Strong in first principle-thinking and applying analytics to real-life business problems
- Can maintain a clear style of communication and is able to coordinate with people from different teams and backgrounds. Effective storyteller with the ability to connect the dots and explain the crux of a situation to the stakeholders
- Ability to self-manage priorities and deliverables while working in a fast-paced, startup environment
- A solid understanding of data structures and expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods as well as scenario-based sensitivity analyses
- Experience with one or more data programming languages (Python, R, SQL) and one or more visualization tool (Tableau, PowerBI, Qlikview, D3.Js)Conduct every analysis with speed, quality and reliability
Selection process logistics & timelines :
Once we have your application, our Talent team will review and reach out if we find your profile/portfolio suited for the current requirements.
Expect at least 3 rounds to assess your articulation & communication, general aptitude, attitude and team fitment. You will be quizzed for your role-related knowledge and general cognitive ability.
We aspire to create an inclusive culture of diverse people not just because it's the right thing to do but because heterogeneity inspires us and is more fun! We employ people solely on merit and do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.
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