Product Analyst - Python/Power BI (2-4 yrs)

About epiFi :

Fi is a money management app for working professionals, loaded with a zero balance savings account and commission-free mutual funds.

Our users can connect other bank accounts to Fi and see a combined balance and transaction history.

Simply put, we are a neo-banking startup for digital natives.

Our mission is to help our users demystify their finances, maximize their savings and spend intelligently.

We are building a highly secure hub' - a savings account that allows you to consolidate your finances in a single intuitive view.

With rich experience in the world's leading tech companies and banks, we deeply and equally understand both the fin' and tech' in fintech.

Funded by leading global VCs, we're in pursuit of a fantastic experience for both our consumers and colleagues.

Job Description :

Function : Data Science and Analysis - Data Analysis / Business Intelligence

Skills :

- Power BI

- Python

- QlikView

- R

- SQL

- Tableau

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 toward 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 organization.

Responsibilities :

- 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 a 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 and 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 organization through our thought leadership, actions, and communication.

Requirements :

- 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 tools (Tableau, PowerBI, Qlikview, D3 Js)Conduct every analysis with speed, quality, and reliability