Flexmoney Technologies Pvt Ltd
Location
Mumbai | India
Job description
Company: Flexmoney Technologies Pvt Ltd.,
Job Location: Mumbai
Role : Lead – Analytics
About Flexmoney:
Flexmoney's mission is to 'Simplify and Democratize Consumer Credit' for the mass-market Indian
consumer. Flexmoney enables banks, NBFCs and trusted lending partners to offer lender-branded,
instant consumer finance/ EMIs at point of sale. Flexmoney owns and operates InstaCredTM, the
largest BNPL network of online merchants and lenders with 45 Mn+ pre-approved user credit lines
from multiple lending partners and over 68,000 online merchants (including marquee merchants such as Flipkart, Amazon, MakeMyTrip etc). We provide the technology infrastructure and point-of-sale merchant network distribution as a 'Plug and Play' proposition to trusted lending partners.
Lending partners can offer lender-branded, frictionless, point of sale purchase credit to any consumer via a 'Plug and Play' integration. Merchants enable our payment mode to provide shoppers with an RBI-compliant, instant digital consumer finance payment option at checkout.
Job Role:
Lead the Business Analytics team for Flexmoney. Responsible for providing data driven insights that helps key stakeholders deliver higher value and enhance revenue
KEY RESPONSIBILITIES:
● Candidate will lead the Business Analytics team for Flexmoney
● Responsible for network analytics on both sides of the InstaCred network i.e.
Lender and Merchant networks
● Collaborate with Business, Product, Engineering, Operations and other
stakeholders to create data-driven strategy for conversion
● Create a data analytics framework that is pivotal to making InstaCred NTB
Marketplace successful by improving conversion and application approval rates
● Conversion and Funnel Analytics - analyse conversion & product funnels across
different user journeys
● Analyse User Behaviour & Transaction data and recommend actions to improve
Conversion and Monetization
● Campaign Analytics - Analyse Campaigns across different channels and customer
segments
● Create Dashboards and Reports to help stakeholders with decision making
● Develop and build a framework for 'Conversion Optimization Best Practices'
● Work with internal teams to help build Cross Activation & Monetization strategies
KNOWLEDGE/SKILLS/EXPERIENCE:
● Proficiency in SQL, R or Python, Dashboarding tools, Google Data Studio or
similar tools
● Candidate should be proficient in MS Excel
● 7-8 years of relevant experience in Finance / Banking Industry
● Should possess knowledge of basic concepts of statistics and their application in
product analytics
● Candidate should possess a strong understanding of Retail Lending
● Data-driven, structured problem solver with excellent communication skills
● Knowledge of how Ads platform and digital marketing works will be an added
advantage
● Experience in using product analytics and tracking tools like GA, Clevertap, Mix
Panel will be an added advantage
● Self-motivated and ownership driven individual
● Excellent analytical, communication, presentation and negotiation skills with
cross-functional organizations, customers & stake-holders
Job tags
Salary