Sr Manager - Data Analytics (Gurgaon)

Delhivery; Gurugram District; On-site; INR 600,000 - 800,000; Full time

Job summary

Delhivery is seeking an Operations Analyst to own monitoring, reporting, and optimization of logistics service levels. You will define, track, and publish core metrics like SLA, OTIF, and TAT, build self-serve dashboards, and perform RCAs on performance failures to drive action plans with ground operations teams.

The role focuses on dashboarding, data-driven decision making, and cross-functional collaboration with Product, Tech, and regional logistics leads to ensure data accuracy and standard

Qualifications

• Bachelor’s degree in Engineering, Data Analytics, Statistics, Supply Chain Management, or Business Administration.
• 2–4 years of experience in business analysis, logistics performance management, or supply chain analytics.
• Proven SQL skills for extracting, joining, and manipulating large datasets.

Responsibilities

• Monitor, publish, and optimize SLA, TAT, OTIF, and delivery health metrics across last-mile, hub, and linehaul operations.
• Perform structured RCAs (5 Whys, Pareto) to identify bottlenecks and drive CAPA with ground teams.
• Design and maintain dashboards in Power BI/Tableau/Looker; create early-warning alerts for SLA breaches.
• Collaborate with Product, Tech, and Regional Logistics Leads to ensure data accuracy and standard definitions.

Skills

Data Visualization

SQL

Advanced Excel

Python

R

Education

Bachelor’s degree in Engineering/Data Analytics/Statistics/Supply Chain/Business Administration

Tools

Power BI

Tableau

Looker

Job description

Job Overview

We are looking for a data-driven, analytical Operations Analyst to own the monitoring, reporting, and optimization of our logistics service levels. In this role, you will be responsible for defining, tracking, and publishing core operational metrics (SLA, TAT, OTIF, First-Mile to Last-Mile delivery health). You will build dynamic, self-serve dashboards, perform granular Root Cause Analyses (RCAs) on performance failures, and work with operational heads to drive clear action plans for service recovery.

Key Responsibilities

1. Service Level Reporting & SLA Tracking

• Measure and publish daily, weekly, and monthly Service Level Agreement (SLA) reports across linehaul, hub operations, first-mile pickup, and last-mile delivery.
• Track core operational KPIs including On-Time In-Full (OTIF), Turnaround Time (TAT), First-Time Delivery Success Rate (FDR), and RTO/Breach Percentages.
• Establish automated reporting workflows to ensure timely dissemination of performance scorecards to internal stakeholders, management, and clients.

2. Root Cause Analysis (RCA) & Corrective Actions

• Investigate SLA breaches, delivery delays, and service failures across different lanes, carriers, hubs, and customer segments.
• Conduct structured Root Cause Analysis (RCA) using quantitative methodologies (e.g., 5 Whys, Pareto analysis, breach categorizations) to identify systemic operational bottlenecks.
• Present actionable recommendations, assign ownership for resolution, and follow up on corrective and preventive action (CAPA) plans with ground operations teams.

3. Dashboarding & Data Visualization

• Design, build, and maintain interactive, high-impact dashboards on tools like Power BI, Tableau, or Looker.
• Develop control tower views and early-warning alert mechanisms to flag potential SLA breaches before they impact end customers.
• Translate complex logistical data into intuitive visual insights and executive-ready slide decks for weekly and monthly performance review meetings.

4. Data Management & Cross-Functional Collaboration

• Partner with Product, Tech, and Database teams to ensure data accuracy, pipeline reliability, and standard data definitions.
• Collaborate with Regional Logistics Leads, Warehouse Operations, and Fleet Managers to review ground performance against targets.

Qualifications & Key Requirements

• Education: Bachelors degree in Engineering, Data Analytics, Statistics, Supply Chain Management, or Business Administration.
• Experience: 2-4 years of experience in business analysis, logistics performance management, or supply chain analytics (preferably in E-commerce logistics, 3PL, express parcel, or freight forwarding).
• Technical Skills:
• Data Visualization: Proven experience in building dashboards in Power BI, Tableau, or Looker.
• Data Querying & Analysis: Strong proficiency in SQL for extracting, joining, and manipulating large operational datasets.
• Advanced Excel: Mastery in Pivot Tables, complex formulas (INDEX/MATCH, XLOOKUP), conditional formatting, and macro/VBA automation.
• Python / R: Basic to intermediate knowledge for automated data cleaning or statistical modeling is a strong plus.
• Domain Knowledge: In-depth understanding of end-to-end logistics workflows, dispatch cycles, hub sorting times, and SLA definitions.
• Soft Skills: Strong presentation abilities, critical thinking, and the assertiveness needed to hold operational teams accountable for action points.