3 Delhivery Delhivery Jobs

Job Description:

You will be an integral part of the Enterprise Solution- 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:

1. 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.

2. Should be able to explore data, conduct analysis and provide actionable recommendations to the ops process and Clients Independently.

3. Conceptualization & creation of the dashboards and automated tools as per business requirements.

4. Identifying & Tracking the business KPI & associated metrics by highlighting progress and proactively identifying issues/improvement areas.

5. 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.

6. 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.

7. Work with leadership on multiple priorities and define the growth and strategic trajectory.

8. Able to Drive profitable growth across service lines of E2E while conducting PnL analysis of existing clients.

Requirement:

1. Expertise in Business analytics tools & statistical programming languages - SQL, Excel, R/ Tableau.

2. 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.

3. Strong communication skills with the ability to confidently work with cross-functional teams.

4. Intellectual and analytical curiosity - an initiative to dig into the why what & how.

Strong number crunching and quantitative skills.

5. Advanced knowledge of MS Excel and PowerPoint.

6. Previous experience of 1-5 years working in an analytics role with exp in Statistical concepts, Clustering (K-Means Clustering), Data Modelling, Predictive Analysis, Forecasting.

7. Ability to think of solutions through the first principle method.

8. Understanding of Logistics services is desirable.

9. Candidate having a sense of understanding of Business Finance will be an added advantage.

10. Experience in team management will be an added advantage.