Lead Data Analyst

The Lead Analyst will support the delivery of a range of contracted consulting and analytical engagements, such as revenue optimization, authorization consulting, portfolio health-checks, real time data streaming, risk management capabilities, etc. for our processing clients, merchant, and government entities.
Key Responsibilities
Development and partnerships for key product capabilities using authorization, transactional, repayments and account demographic data, such as the next best action recommendation tool for processing clients.
Leverage data lake to develop AI/ML based products that could add value to processing clients and generate revenue for NI as processor.
Deliver top-class analytics consulting solutions to clients in line with the agreed deliverables/SOW’s. Manage deliveries across cost, quality, and time spectrums.
Convert the analytical outputs into delivery reports or collateral with world-class storyboarding.
Additionally, support the wider team Advisory and Information Services team as required with product development, pre-sales and sales support relating to analytical solutions, including client presentations, solution design, proposal development including costings and Letters of Engagement.
Develop advanced predictive models across a range of outcomes (risk/Marketing etc.) using various techniques, to include, but not limited to Logistic/Linear regression, Decision Trees and Machine Learning techniques.
Key Requirements
Master's degree in any quantitative discipline or MBA. Candidates from Statistics or Operations Research background will be preferred.
Previous work experience of 1-4 years in Analytics team (preferably in Payments/ retail banking industry), with strong business acumen and ability to translate data insights into meaningful business recommendations.
Strong drive and passion to work in a start-up kind of environment and deliver business impact in Payments through advance analytics.
Expertise in analytical tools such as SAS/R/SQL/ and Qlik/Tableau/Power-BI.
Working knowledge in analytical techniques such as Linear Regression, Logistic Regression, Cluster analysis, Market Basket analysis, etc. (good to have for the role).
Excellent verbal and written presentation skills.
Proven experience in delivering analytical solutions within mid to large-size project teams, and working in on-shore & off-shore environment.

Work arrangement
Yes