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Business Analyst - Customer Loyalty

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Hybrid

Business Analyst - Customer Loyalty

Quess IT Solutions

Business Analyst - Customer Loyalty

Skills

SQL QueriesPythonData ScienceData VisualizationRDatabricksData AnalysisCRMPower BIAzure

1 month ago

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Important information


Contract type:

Permanent

Salary:

₹1,200,000 – ₹2,200,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

21 September 2026

What they need


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.) in all business units of Landmark Group (LMG).
  • 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).

Preferred candidate profile :

  • 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.

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