AU Small Finance Bank - Business Intelligence & Campaign Management Role

- Use a variety of legacy and emerging analytic techniques incorporating supervised and unsupervised methods to be deployed in business decisions

- Build an understanding of how product analytics connects to business strategy and product strategy. How analysts can effectively partner with product teams to build data-driven roadmaps

- Use analytics as a source of competitive differentiation, improving business decision making and customer experience

Job Responsibilities

- Financial-Budget/Sales/Cost head/Profit head

- Customer

- Internal Process

- L&D- Apply advanced statistical , NLP , and machine learning techniques to build models for Cross sell and Upsell, Persistency, Customer suitability, Customer NPS, Sales Person NPS

- Build and implement solutions that enable sales & operational units to improve quality and speed of core processes to generate incremental revenue or reduce expense.

- Proactively research new ways of modelling data to unlock actionable insights or improve processes

- Collaborate across Bank & Insurance Partners functions to use analytics to influence business decisions

- Network with existing data science groups at Insurance Partners and their consulting partners to leverage capabilities in big data technology.

- Design and implement the analytics framework, set up analytic systems and processes

- Responsible in building best class solutions, conquering the business problems, addressing technical challenges using AI & MI Platforms and technologies.

- Responsible for the managing the entire lifecycle of digital marketing campaign, from inception to launch to evaluation of result. The team is accountable for analyzing the effectiveness of marketing campaigns using ROI calculations.

- Define product & Campaign KPI's. Monitor, analyze and communicate performance of feature releases. Build dashboard to track KPI's and share with stakeholders on an on-going basis.

- Plan a customer life cycle and monitor the per person product holding during the lifetime of the customer

- Driving the Digital Solutions value proposition (Behavioral Economics, Online customer journey, Simplified underwriting) by providing the entire digital eco-system

Performance Measures

Measure Deliverables from the role

Key Outputs/Results from the Role

- Collecting and interpreting structured and unstructured data

- Analyze large amounts of information to discover trends and patterns

- Build predictive models and machine-learning algorithms & Analyzing results

- Present information using data visualization techniques back to the relevant members of the business

- Identifying patterns and trends in data sets

- Working alongside various product teams within the Bank or the management team to establish business needs

- Propose solutions and strategies to business challenges

- Defining new data collection and analysis processes

- Overall ROI of all digital expanse and properties

- Continuously analyze data and suggest sustainable process improvements to increase customer loyalty and satisfaction.

Job Specification (Competencies required to perform the role)

Qualifications - Graduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics, plus 3 years experience OR Graduate Degree in Computer Science, Engineering, Statistics, or Applied Mathematics

- Expertise in advanced predictive analytic techniques

- Fluency in in Python, R, SQL, Angular JS, JSON, Adobe AEM/CQ,HTML5,Microsoft Visual Studio Code, Adobe Campaign Standard, JavaScript & Analytic skills

- Working expertise on platform life Oracle Flex Cube , HCM, CRM,

- Experience in conceptualizing, building Predictive Analytics / Statistical Modelling (Regression, LR, DT, Random Forest, Neural Networks, GBM. XGBoost etc.)

Experience

- Specific

- Overall- 5 - 8 years of experience in a data science role with Insurance or financial services background

- Understanding of Insurance Product & Regulation and good network with Insurance and fintech players

- Conversed with latest AI/ML techniques

Functional Competencies

- Strong leadership in analytical, planning, forecasting skills; problem-solving skills with a get things done attitude

- Experience in making data-driven recommendations and decisions

- Excellent customer service and conflict resolution skills.

- Strong presentation, influencing, and negotiation skills.

- Exceptional communication skills, both written and oral.

- Able to thrive and prioritize in a constantly changing environment.

Behavioral Competencies

- Ability to work independently in a fast-pace agile team environment to meet aggressive goals and high-quality standards; does not require close supervision

- Ability to facilitate effective meetings

- Ability to establish effective working relationships with clients and business representatives

- Well-presented and business-like - Good speaking & writing skills

- Stable career history, Exceptional work ethic & drive, Willing to travel