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Business Analyst

Max Fashion
Posted on
Max Fashion logo

Experience
1 - 5 yrs
Salary (CTC)
₹5L - ₹10L
Job Location
Bengaluru, India
Vacancy
1
Designation
Business Analyst
Job Type
ONSITE

Job Description


Know us a little better!
The Landmark Group, founded in 1973, has a diverse portfolio of retail and hospitality brands. It has
successfully grown into one of the largest and most successful retail conglomerates in the MENA
region with an entrepreneurial culture focused on delivering exceptional value. The Group employs
over 45,000 people and operates over 1,600 outlets covering 22 million square feet across 19
countries in the Middle East, North Africa, and India region.
Built with love and loads of effort by many smart, talented, and passionate Landmarks, our goal is
simple: to deliver high impact to all business functions and institutionalize data driven decision
making.
The Landmark Group is one of the leading retail and hospitality organizations in the Middle East and
India. Its vast portfolio of successful businesses includes award-winning household brands like
Lifestyle, Max, Splash and Home Centre.
About CSi (Customer, Strategy & Intelligence)
CSi is the Customer, Strategy & Intelligence division of Landmark Group Globally. It brings together
the former DLL (Data Labs Landmark ), the Group Loyalty function (Shukran), Partnerships,
Performance Marketing, and Martech. The CSi organization reports to Shailesh Jain, Chief
Customer & Analytics Officer for Landmark Group.
Our mandate is to build bestinclass data & AI solutions that unlock exceptional value for
Landmark customers across all brands and markets.
This is YOU!
Job Title: Business Analyst
Job Location: CSi, 5th Floor, East Wing, 77 Town Center, 3, Yemalur, Bengaluru, Karnataka 560037
Mode of Work: Hybrid Model (3 days work from office)
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.
Exposure to Azure Databricks (Good to have)
Experience in Power BI (Good to have).



Who are we looking for?
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.
2.5 - 4.5 years of analytics experience in Retail/CPG industry covering at least 2 of the below
mentioned areas: Customer (insights/trends), Campaigns/CRM, Loyalty or Marketing.


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