Business Analyst

Quess IT Solutions; Bengaluru; Hybrid; INR 600,000 - 900,000; Full time

Job summary

Quess IT Solutions in Bengaluru seeks a Business Analyst with 3–5 years of experience to define, develop and support analytical solutions that drive better retail decisions. You will extract insights from data, collaborate with on-shore Analytics and business stakeholders, and apply models to inform merchandising and marketing strategies.

The role requires strong analytical and presentation skills, exposure to Power BI and Azure Databricks is a plus, and a willingness to travel up to 20%.

Qualifications

• Bachelor’s or Master’s in quantitative fields; CS/IT are preferred.
• Experience with SAS, SQL, Python, R or Spark for analytics.
• Strong data visualization and MS Office skills; good presentation ability.

Responsibilities

• Define, develop & support analytical solutions to improve retail decisions.
• Extract insights from data and collaborate with on-shore analytics and stakeholders.
• Apply analytical techniques to discover patterns and generate actionable insights.
• Provide high-end consulting to functional teams for business strategy.
• Keep up with industry trends and share knowledge with the team.
• Travel up to 20% as needed; work in hybrid model (2–3 days in office).

Skills

Analytical thinking

Communication skills

Presentation skills

Stakeholder management

Education

Bachelor's degree in quantitative field

Master's in quantitative field

Tools

SAS

SQL

Python

R

Spark

Azure Databricks

Power BI

MS Office

Job description

MANDATORY F2F INTERVIEW ON 21ST AUGUST-FRIDAY BASED ON SHORTLIST- BANGALORE

Hiring:

Job Title: Business Analyst [3-5 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 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:

• 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.

Reporting To:

This role will report to Delivery Manager (Analytics)