Job Title: Senior Business Analyst [5– 7years]. 

Job Role:

To define, develop & support analytical solutions, along with extracting insights from data for improving business decisions of various retail functions (Ex. Marketing, Merchandising, Retail etc.)

- The recruit will be directly working with the on-shore Analytics team and with key business stakeholders of  retail functions in each business unit to understand their business problems around merchandising and help deliver data driven decision making.

- Analyze data to evaluate existing decisions framework and apply analytical techniques to discover  meaningful patterns.

- Develop and support sophisticated & innovative analytical solutions that generate actionable insights by  utilizing diverse information.

- Provide high-end consulting to functional teams to help them sharpen their business strategy.

- Keep abreast of industry trends and emerging methodologies to continuously improve skill set.

- Contribute to knowledge sharing and improve team productivity through training/documentation of best  practices.

- Candidate should be ready to work from office for 2 to 3 days in a week (in hybrid model)

- Exposure to Azure Databricks (Good to have) - Experience in Power BI (Good to have). 

 Desired Skills and Experience:

- Bachelor’s or master’s degree in any quantitative discipline (B.Tech/M.Tech in Computer Science/IT  preferred) Candidates from Economics, Statistics/Data Science or Operations Research background from  reputable institutions would also be preferred

- Ability to handle large datasets and expertise in analytical tools such as SAS, SQL, R, Python, Spark etc. - Expertise in analytical techniques such as Linear Regression, Logistic Regression, Cluster analysis, Market Basket Analysis, Product Bundling, Cross/Upsell Analysis etc.

- Strong MS office skills and data visualization competence

- Excellent verbal and written presentation skills

- Should be able to articulate thoughts and ideas properly (structured approach should be there for problem solving) - Attention to detail and ability to work in high pressure environment.

- Strong Drive and passion to deliver business impact through retail analytics.

- Strong business acumen and ability to translate data insights into meaningful business recommendations.

- Open to Travel (up to 20%) on need basis

- 3 - 5 years of analytics experience in Retail/CPG industry covering at least 2 of the below mentioned areas: - Customer (insights/trends)

- Campaigns/CRM - Loyalty - Marketing

- Proven experience in delivering analytical solutions within mid to large size project teams. 

Please note that Domain should be Retail or FMCG or CPG only. 

Mandatory Skill: 

Domain: Retail, FMCG or CPG 

Technical Skills: SQL, Python 

Other Related Skills: 

Customer Relationship Management (CRM), Customer Analytics, Loyalty Management, Consumer 

Insights. Campaign Management. Customer Loyalty, Loyalty program. Customer Segmentation 

Digital Marketing Analytics, Customer Insights. 

 Reporting To: 

•   This role will report to Delivery Manager (Analytics)