Deputy Manager - Analytics - Insurance

Job Title: Deputy Manager - Analytic

Reports to: Manager - Analytic

Overall Job Purpose

- Independently work on as well as lead projects in the areas of – Customer Analytics, Distribution Analytics, Marketing Analytics, Operations Analytics and HR Analytics – for UK, Asia and US geographies

- Lead projects independently that involve

- statistical modelling (predictive analytics, forecasting, segmentation), data analysis and mining

- designing and setting up MIS systems, database testing, manipulation and automation

- As required, support Customer Management Team (CMT) in UK in campaign selection, execution, campaign performance monitoring. Statistical model development related to Customer Analytics (segmentation, propensity modelling etc) and various root cause analyses through MI / dashboard development

- Manage projects independently and mentor and guide team members

- Manage Stakeholder Relationships

- People management for small function teams within Analytics vertical

Accountabilities/Responsibilities

Delivery

- Develop Statistical Models: Apply advanced analytical techniques such as regression modelling, time-series analysis, cluster & factor analysis and segmentation to create different models

- to understand and analyse customer behaviour and help build forecasting modes / propensity models to gain more insights into customer behaviour

- to understand distribution effectiveness of various channels

- to establish linkage between marketing effort spend and its effectiveness

- to forecast business volumes (e.g. product sales, transaction volumes etc)

- Build Excel / Access / VBA models: These are user developed applications and are also built as part of the consultative engagement to analyze the specific hypotheses and as decision aiding tools

- Conduct Campaign Analytics: Campaign selection and post campaign analysis. Based on the developed segments, select customers and send them a campaign for the purpose of retention, up-sell or cross-sell. Develop dashboards and MI to report performance effectiveness of campaigns

- Develop analytical solutions: Develop solutions for interventions in other functions such as Customer Service, HR, Risk and Audit

Stakeholder Management

- Manage Stakeholder interactions by having regular updates and growing stakeholder engagement

- Meeting /exceeding quality and timeline expectations for all projects

- Design, plan and scope out projects with stakeholders

- Explain project methodology and project approach to required stakeholders

Project Management and Training

- Manage end to end deliverables of the project by adhering to timelines, project budgets and stakeholder expectations

- Ensure that the Standard Operating Procedures are followed where applicable and all relevant documents are updated

- Work with juniors on projects and coach them on-the-job

- Conduct in-house trainings on - Basic statistics, SAS , SPSS, Minitab, SQL, VB etc. depending on teams’ requirements

People Management

- Day-to-day management and oversight for small functional teams within Analytics vertical. This would include

- People evaluation and program management

- Career counselling and coaching

- Workflow allocation within the team

- Escalation handling and management

Business Development

- Work with the Analytics Manager and KS Business Development Manager to develop pipeline for projects further through

- Assisting in writing proposals and presenting them to stakeholders

- Introducing the capability to the relevant businesses across multiple for a

- Develop personal in-depth relationship with key business leaders and ensure continuous inflow of Business-As-Usual and project work

Required:

- With 5 to 7 years of experience (out of which a couple of years in Insurance Analytics would be an advantage)

- Expertise in a few of the statistical platforms such as SPSS / SAS / R / SQL / SPSS - Clementine

- Expertise in applying advanced predictive statistical techniques to develop regression, timeseries, segmentation models. Exposure to design of experiments

- Database management systems

- Advanced skill in MS-Applications (Word, Excel, PowerPoint)

- Visual Basic for Applications for MS Office

- Ability to summarise and effectively present complex analytical insights, observations and recommendations to an audience using business language

- Excellent oral and written communication skills

Send resumes with below mentioned details -

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Vishal. B
Colosseum Consulting