9 Navi Technologies Jobs

• Creating impact to the business
• Be the owner of data (quality, accessibility, usability) for the company
• Improve speed of decisions through data transformation and access
• Improve the quality of decisions with right visibility into business
• Solve complex problems using advanced analytics functions
• Create Drive culture of learning through experimentation

About The Role:

• -Lead the BI vertical within analytics charter which includes building analytical data layer, monitoring the BI platform performance and enabling self serve for the entire org
• -Enabling training and upskilling of the org to leverage the self serve layer to build reports and dashboards
• -Understand decision making needs of different businesses like Lending, Investment and Payments
• -Evaluate data required for decisions, identify sources of appropriate data, own up the sanity/accuracy of available data, ensure transformations for right decision making
• -Define metrics through the business processes for clear measurability and to deep-dive into processes to identify areas of improvements
• -Identify opportunities of improvement in product & process flows through exploratory analysis and Driving customer segmentation to come up with insights on customisation for various customer groups
• -Define analytical frameworks to gain insights on correlations/causality
• -Work with engineering & data platform team to drive data availability & reliability
• -Monitor & highlight health of business by developing metric dashboards to track success & performance metrics for business functions

Desired Candidate Profile:

• Team management experience of at least 5+ members.
• Experience on SQL, any BI platform (Tableau, PowerBI, Qlikview, Looker, Quicksight etc)
• Experience with data transformation layer like DBT and orchestration tool like airflow
• Experience in handling multiple stakeholders.
• Startup mindset
• Advanced understanding of data platforms and ETL processes
• Ability to identify relevant data to solve business problems and (in)validate hypothesis

Good To Have:

• Prior data modeling experience in R/Python and some classification and/or regression techniques
• Prior experience with marketing platform such as moengage, clevertap, appsflyer would be a plus
• Prior experience / understanding of lending/insurance/banking domain would be a plus