Analytics India Magazine - Head - Analytics

Key Responsibilities:

- Develop an MIS (management information system) in GUS for Marketing & Sales teams, along with other business and support areas such as HR, Finance, Admissions, Space Optimisation etc.

- Work with stakeholders to deliver reporting and insights in a timely manner for sales and marketing to enable informed decision making.

- Formulate Marketing optimisation strategies by analysing the lead funnel, ROI and revenue generated.

- Provide robust Sales analytics by studying the lead addressal time and other parameters to identify gaps and improve the sales performance.

- Provide a source of past, present, and future forecast/insights to allow better planning and optimisation.

- Build reports and produce analyses and visualisations that directly impact the business.

- Manage a large master data management team for data collection and standardisation for effective analysis and reporting.

- Recommend on ROI matrix by identifying and recommending a strategy for continuation, expansion or cessation of non-profitable territories, programmes, and marketing activities.

- Build and manage a dynamic analytics team, which includes data, visualisation, and an advance analytics team.

- Responsible for the recruitment of the analytics team, along with supervising induction programme for new team members, and driving training and development of technical skills within the team.

- Build and maintain strong relationships internally and externally in order to facilitate Analytics- involvement across all departments and development of new analytical opportunities.

- Create a ROI driven culture in the organisation by enabling other functions within the group to utilise data for decision making.

- Present insights to senior business leadership in a compelling and relevant story with recommendations backed by robust analysis on a weekly basis.

- Ensure end results meet business and stakeholder benefit expectations

- Follow our quality system procedures to insure compliance with system validation requirements.

- Foster strong working relationships between project team members

- Monitor and control project financial metrics and make adjustments where necessary to meet scope, schedule and budget expectations

- Follow the IT engagement management model as well as ensure it is aligned with corporate engagement models

Key Skills:

- Minimum 11 years of experience in B2B and B2C analytics delivery

- Proficient in using BI tools, data visualization tools and predictive modelling.

- Strong technical working knowledge in statistical languages (Predictive modelling/R/Python etc.), data management tools (MSBI/SSI/SSRS etc.), data visualization tools (Power BI/Tableau etc.)

- Good understanding of statistical techniques commonly used in marketing analytics or education industry

- Strong analytical skills and demonstrated ability to turn detailed data analysis into useful strategic insights.

- Strong time management and organisational skills

- Strong communication and presentation skills

- Experience working in a collaborative environment, including supporting and teaching other team members