You will be an integral part of the Enterprise Solutions- Analytics team and will lead the analysis & generation of actionable insights to solve business problems

Specific day-to-day responsibilities will include, but will not be limited to:

Drive the analytics project of supply chain solutions/Network design/Warehousing Design - Modelling of historical transaction data to arrive at the optimal pioneering, tech-enabled end-to-end supply chain solutions in terms of Network footprint and Mode of transportation to reduce cost and time to the Customer
Should be able to explore data, conduct analysis and provide actionable recommendations to the ops process and Clients Independently
Conceptualization & creation of the dashboards and automated tools as per business requirements
Identifying & Tracking the business KPI & associated metrics by highlighting progress and proactively identifying issues/improvement areas
The candidate is required to work with cross-functional teams, from BD to engineering and operations to stitch together solutions that solve customers needs. The candidate must have the drive to innovate and question the norm, with a strong entrepreneurial drive and a sense of ownership
The candidate is expected to be highly analytical and data-driven while being a hustler and problem solver. The candidate must thrive in a high-performance environment and possess strong relationship-building and stakeholder management skills. The candidate must have the drive to innovate and question the norm, with a strong entrepreneurial drive and a sense of ownership.
Work with leadership on multiple priorities and define the growth and strategic trajectory.
Able to Drive profitable growth across service lines of E2E while conducting PnL analysis of existing clients.
Requirement

Expertise in Business analytics tools & statistical programming languages SQL, Excel, R/ Tableau
Excellent problem-solving and analytical skills - ability to develop hypotheses, understand and interpret data within the context of the product/business - solve problems and distill data into actionable recommendations.
Strong communication skills with the ability to confidently work with cross-functional teams
Intellectual and analytical curiosity an initiative to dig into the why what & how.
Strong number crunching and quantitative skills.
Advanced knowledge of MS Excel and PowerPoint.
Previous experience of 6-9 years working in an analytics role.
Ability to think of solutions through the first principle method.
Understanding of Logistics services is desirable.
Candidate having a sense of understanding of Business Finance will be an added advantage.
Experience in team management will be an added advantage.

Role: Data Science & Analytics - Other
Industry Type: Analytics / KPO / Research
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other

Education
UG: B.Tech/B.E. in Any Specialization

Key Skills
Advanced Excel SQL Tableau R Program