Navi General Insurance - Marketing Analytics Role

About Company

Navi Technologies (erstwhile known as BACQ) is founded by Sachin Bansal & Ankit Agarwal to build consumer-centric and technology-driven businesses in the BFSI (Banking, Financial Services & Insurance) space. At Navi, our mission is to build consumer-centric & technology driven business providing financial services that are simple, accessible and affordable to end consumers.

Analytics @ Navi

Navi Analytics is a central function working closely with engineering, product, and business functions to create data processes as the key differentiator for the company. We believe in -

1. Be the owner of data (quality, accessibility, usability) for the company

2. Improve speed of decisions through data transformation and access,

3. Improve the quality of decisions with right visibility into business,

4. Create Drive culture of learning through experimentation

Role

1. Understand decision making for business growth (acquisition, activation, and retention of customers) and prior experience with analytical frameworks such as marketing mix modelling, driving campaign performance, customer segmentation etc

2. Evaluate data required for decisions, identify sources of appropriate data, own up the sanity/accuracy of available data, ensure transformations for right decision making

3. Automate & standardize decision making process to make it data driven

4. Identify opportunities of improvement in product & process flows through exploratory analysis

5. Work with engineering & data platform team to drive data availability & reliability

6. Monitor & highlight health of business by developing metric dashboards to track success & performance metrics for business functions

Desired Candidate Profile

1. 2+ years of hands-on experience on SQL, any BI platform (Tableau, PowerBI, Superset etc)

2. Understanding of Appsflyer, Clevertap platforms

3. Conceptual understanding of basic statistical concepts (Sampling, Distributions, Central tendency, Hypothesis testing etc)

4. Ability to identify relevant data to solve business problems and (in)validate hypothesis

5. (Good to have) Prior data modelling experience in R/Python