- Responsible for organizing and analysing data from available data sources to support retail reporting, projects and new initiatives.

- Lead the business through all efforts that drive business performance and potential by using the existent and new data sources and techniques.

- Extraction and analysis of company information, primarily financial, merchandising and revenue reports

- Compiling data regarding reported issues and offering remedies that improve the operation of processes and systems

- Conducting cost-benefit analysis on initiatives designed to maximize the organization's performance

- Effectively lead the role of checker & identify exceptions which would be beneficial to the organisation's growth

- Working with the Leadership to implement change strategies and guide & grow MIS team members working for various departments

- Responsible for the development of standard templates, scorecards, and benchmarking capability across all stores of all states.

- Responsible for providing support and proposes recommendations for improvements to tools and information used within retail analytics.

- Responsible for reviewing product level assortment at store. To ensure that right product reaches store on time.

- Responsible for reviewing POS information, generate sales reports and analysis, and complete detailed product set up forms.

- Responsible for setting the departmental vision and culture and championing for the use of data in making key business decisions.

- Responsible for performing data segmentation analysis to support promotional campaigns and program enhancements.

- Provide support for business unit by performing analysis of activities (on systems, products, processes, and/or procedures) to improve core functions, growth, and profitability.

- Endeavours to create new data-driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner.

- Collaborates with numerous departments across the business, aiding them in the proper use of data, hence, ensuring the delivery of desired operational results.

- Continually monitor current marketing trends, new technology solutions, and competitive strategies.

- Partner with key stakeholders to analyze, test, and launch new initiatives to increase product penetration.

- Run Data Science practice to enable all areas of Fashion business to look from customer's lens viz Category, Retail, Marketing across channels.

- Proven experience as a Senior Data Analyst with strong track record in in retail performance analysis, space and fixture planning, assortment optimization, and sales forecasting with exposure in leading cross-functional analytics projects and developing dashboards and KPI frameworks with demonstrated ability to turn insights into strategic business actions in a fast-paced and complex business setting preferably with an apparel retail organization.