- 5 days Work from office.

Preferred : Candidate from Retail Background.

Responsibilities :

- Lead and motivate a team of analysts and MIS professionals, set goals, and provide guidance.

- Create and execute an analytics and MIS strategy to meet business goals.

- Supervise the collection and analysis of data from multiple sources, including internal systems, third-party tools, and market research, to identify trends, patterns, and opportunities.

- Work with cross-functional teams to define KPIs and create dashboards and reports to track performance.

- Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.

- Collaborate with IT teams to optimize data infrastructure, systems, and tools for efficient data collection, storage, and analysis.

- Drive data governance initiatives by setting data quality standards, verifying data accuracy, and applying data security protocols.

- Communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.

- Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.

- Stay updated about industry trends and advancements in analytics tools to improve data analysis.

Skills and Competencies :

- Strong leadership and management capabilities, demonstrating the capacity to effectively motivate and inspire a team.

- Experience with data analysis and visualization tools like SQL, Excel, Tableau, and Power BI.

- Proficient in automation programming languages such as Python, Ruby, and Java.

- Excellent analytical and problem-solving skills, with a strong attention to detail.

- In-depth knowledge of statistical analysis techniques and methodologies.

- Proficiency in data modelling and data manipulation.

- Strong business acumen and the ability to connect data insights to business objectives.

- Excellent communication and presentation skills, with a proven ability to distil complex data into clear and actionable insights.

- Capable of managing multiple priorities and meeting deadlines in a fast-paced and dynamic environment.

- Experience working with large datasets and using statistical analysis techniques.

Qualifications :

- Bachelor's degree in Mathematics, Statistics, Economics, or Computer Science.

- Master's degree preferred.

- At least 8 - 12 years of experience in analytics or a related field, including 2 years in a leadership role.

- Knowledge of programming languages such as Python or R is mandatory.

- Certification in analytics tools or methods is beneficial.