Job Title: Specialist – Business Analysis
Salary Package: ₹22,000 – ₹32,000 a Month
Company Name: Mahindra Logistics Limited
Job Location: India
Qualification : Bachelor’s Degree
Job Info:
Mahindra Logistics Limited, a publicly listed entity is one of India’s largest 3PL solutions providers in the Indian logistics industry. At Mahindra Logistics Limited, we provide customized integrated third-party supply chain and people transport solutions to companies across a diverse cross section of industries. We specialize in providing supply chain solutions to organizations, integrating the right technology, processes, people and best practices. We create integrated solutions, which maximize service levels with the minimum logistical cost.
MLL is one of the few logistics service providers which also offers People Transport Solutions; a specialized line of business which provides customized services to organizations for transfer of employees from home to their place of work and back.
Designation
Deputy Manager – Analytics
Grade
08
Functional Area
Analytics
Location
Mumbai – Goregaon – Corporate
Functional Experience Requirements :
1.Should have the capability of working independently.
2.Should be able to analyze using statistical techniques and logical reasoning to analyze results.
3.Should be from an engineering/math background and should have worked at least for a year in analytics.
Key Responsibilities
1.Provide business users Visual Analyses and interactive Dashboards to help them analyse and explore data.
2.Collaborate with internal stakeholders to manage data logistics including data transfers, understanding data
structures, business rules, business processes, and problems etc. to enable project execution.
3.Use SQL/R/Python programming, in the execution of data analysis that will contribute to the final
project deliverables.
4.Conceptualize KPIs to measure, track and benchmark performance in various aspects of the business.
5.Assist stakeholders and senior members in analytical algorithm development.
6.Translate business requirements and hypotheses to successful analyses and insights to aid business decision
7.Making.
8.Appropriately own and account for the timeliness and quality of all assignments.
9.Work with management to prioritize business and information needs.