Manager - Advanced Analytics - Digital & Operations

Business Area: Digital & Operations

Key departments / areas of responsibility: AI & Advanced Analytics

Overall Job Purpose

- Analytics solutioning/consultancy and work as an adviser to the business as an SME

- 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

- Experience with Analytics consulting role, with comfort on presenting to CXO level stakeholders

- Strong background of statistical modelling and ability to create framework

- Lead projects independently that involve

Machine learning and text mining

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

- Statistical model development related to Customer Analytics (segmentation, propensity modelling etc) and various root cause analyses presented through suitable and appropriate presentations

- Manage projects independently and mentor and guide team members

- Manage Stakeholder Relationships.

Accountabilities/Responsibilities

Delivery

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

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

- 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)

- 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 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 deliverable 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 created and kept updated

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

- Conduct in-house training's depending on teams- requirements.

People Management

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

- People evaluation and program management

- Career counselling, coaching and performance management

- Workflow allocation within the team

- Escalation handling and management.

Business Development

- Work with the Analytics Management team 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 geographies

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

Competence / Knowledge / Skills required

Required:

- Deep Expertise in ML

- Deep Expertise in either R or Python

- Exposure to DNN

- Exposure to any of the following preferred - SPSS / SAS / Clementine

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

- Excellent SQL skills and suitable familiarity with different DBMS

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

- Excellent oral and written communication skills with the ability to summaries and effectively present complex analytical insights, observations and recommendations to an audience using business language

- Experience in analytics project management/consultancies involving diverse functional areas of analytics

- Ability to work alone or with limited supervision

- Responsibility and Attention to Detail - Take responsibility for delivery of precise and accurate analyses, models, dashboards and reports to tight timescales and work to resolve problems when they occur

- Proactive attitude towards continuous learning and self development

- Coaching skills - ability to impart gained technical knowledge and develop junior analysts

- People leadership skills - coaching, career counselling, mentoring and capability development

- Excellent stakeholder management skills - networking, identifying solution gaps and excellent service oriented mind set.

Good to have :

- Knowledge of marketing domain; campaign development, delivery and analysis; customer targeting techniques

- Exposure to financial services industry

- Knowledge of significant regulatory processes, specifically including data protection

- International work experience