Business Analyst

Quess IT Solutions; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Quess IT Solutions in Bengaluru is seeking a Business Analyst with 2.5 to 6 years of analytics experience to define, develop and support data-driven solutions for Retail functions such as Marketing, Merchandising, and Customer insights.

You will work with the on-shore Analytics team and stakeholders to deliver insights, utilize tools like SAS/SQL/R/Python/Spark, and translate data into actionable recommendations. Office-based role, with up to 20% travel as needed.

Qualifications

• Bachelor's or master's in a quantitative discipline; CS/IT preferred.
• Ability to handle large datasets using analytical tools such as SAS, SQL, R, Python, Spark.
• Expertise in techniques like Linear/Logistic regression, cluster analysis, market basket, cross/upsell.
• Strong MS Office skills and data visualization competence.
• Excellent verbal and written presentation skills; structured problem solving.
• Willing to travel up to 20% as needed.

Responsibilities

• Define, develop and support analytical solutions to improve retail business decisions.
• Collaborate with on-shore Analytics team and stakeholders in merchandising and marketing.
• Analyze data to evaluate decision frameworks and discover patterns.
• Develop innovative analytical solutions to generate actionable insights.
• Provide high-end consulting to functional teams for business strategy.
• Keep abreast of industry trends and share knowledge to improve productivity.
• Work from office 5 days a week.

Skills

Data analysis

Data visualization

Presentation skills

Problem solving

Attention to detail

Communication

Business acumen

Education

Bachelor's or Master's in quantitative discipline

B.Tech/M.Tech in CS/IT (preferred)

Economics/Statistics/Data Science/Operations Research background

Tools

SAS

SQL

R

Python

Spark

Azure Databricks

Power BI

Job description

Job Title:

Business Analyst [2.5 to 6 years].

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 5 days in a week

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

Desired Skills and Experience:

• Bachelors or masters 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.