Project Summary
We are seeking an interested and experienced analytics professional to work with the International Business Division on descriptive, predictive, and prescriptive analytics, and will be able to apply these techniques to a variety of use cases, including customer insights, segmentation, retention, recommendations and next best action, network expansion, and merchandise optimization.
Qualifications
- BTech/ BE OR Post Graduate in Mathematics/ Statistics/ Computer Science
Experience
4-8 Years
Technical Skills
- Good working experience of using SQL and Python to collect, clean, and analyze data.
- Good to have exposure to Machine Learning (Techniques like Regression, Classification, Clustering, Forecasting, Ensemble Models, Recommendation Systems etc.)
- Have a keen eye for detail.
- Demonstrated ability to work independently, manage multiple priorities, and meet deadlines.
Customer Service
- Advocates for customer.
- Displays empathy.
- Provides support for others.
- Cooperates for optimum possible outcomes and win-win results.
- Develops rapport with others.
Written and Verbal Communication
- Writes clearly and concisely.
- Listens attentively.
- Expresses ideas.
Problem-Solving
- Imagines alternatives.
- Defines needs and requirements.
- Identifies problems and potential solutions.
- Analyzes information.
Organizational Skills
- Handles details.
- Coordinates and plans tasks.
- Follows through on tasks.
- Demonstrates effective time management.
Tasks & Deliverables
- Works in a team to gather business requirements and identify problems.
- Translate business requirements and problems into data-driven questions that can be answered through analytics.
- Develop and execute analytics projects that address the problems and requirements.
- Use SQL and Python to collect, clean, and analyze data.
- Communicate the results of analytics to stakeholders in a clear and concise way.
- Gain buy-in from stakeholders, drive adoption, deploy analytics solutions and make them accessible to stakeholders.
- Help build a pipeline of projects by identifying new opportunities for using analytics to improve business performance.
- Manage stakeholder expectations.
Key Stakeholders for the Project
- External Interfaces: Other Analytics Vendors/ Service Providers.
- Internal Interfaces: Business Stakeholders, IT team.
LOCATION
BENGALURU, KA
WORK MODE
Hybrid
COMPENSATION
Commensurate with role and project responsibility
TYPE OF RETURNSHIP
Project
PERIOD OF RETURNSHIP
6-12 months
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