Senior Data Analyst

Job Title

Senior Data Analyst

Day-to-Day Responsibilities

Data Ownership & ETL

●     Take end-to-end ownership of high-frequency datasets including seller discoverability, catalogue quality, order funnels, SLA/TAT adherence, and compliance datasets.

●     Build and maintain automated ETL pipelines using SQL, Python, and Power Automate, ensuring reliability, accuracy, and timely refresh.

●     Proactively validate and optimize datasets so that stakeholders can trust them as single sources of truth.

Dashboarding & Reporting

●     Develop and manage Power BI dashboards with role-level security that provide real-time visibility into order journeys, operational performance, and category-level growth.

●     Continuously improve dashboard usability, performance, and accuracy.

●     Deliver automated insights mails and reports summarizing trends, anomalies, and action points for leadership and network participants.

Operational, API & Growth Analytics

API-based logs and event-driven datasets

●     Build data frameworks (e.g., NP Scorecards) to evaluate participant performance across order fulfillment, SLA compliance, and customer issue resolution.

●     Partner with category pods to identify order journey drop-offs, catalogue visibility issues, and growth opportunities in supply-demand alignment.

Stakeholder Engagement

●     Collaborate with internal teams to solve operational and strategic challenges through data.

●     Work closely with Buyer Apps, Seller Apps, and Logistics Partners to identify and address data-driven challenges in catalogue onboarding, product discovery, order flow, and fulfillment.

●     Present insights and recommendations to senior leadership and network participants in a clear and business-focused manner.

Ideal Candidate Profile

1.

●     Master’s degree in Computer Science,Statistics, Data Science, Economics, or a related quantitative field.

●     5+ years of experience in data processing and building data pipelines based on business logic.

●     Should have worked on DAX queries or creating data pipelines for a BI tool.

e-commerce, retail, or logistics analytics

2.

SQL ,PostgreSQL

Power BI

Python

Excel

transactional or API-driven datasets

Behavioral & Soft Skills

●     Business-first mindset with strong problem-solving orientation.

●     Ability to own datasets and dashboards end-to-end with accountability for accuracy and reliability.

●     Strong communication skills to translate data into actionable business insights.

●     Comfortable collaborating with cross-functional stakeholders in a fast-evolving environment.

Please note- Before an interview, the analysts should come well prepared on how the ONDC protocol functions and how data is stitched together.

●     Understand and analyze end-to-end e-commerce order flows.

●     Interpret ONDC’s API-driven retail and logistics contracts.

●     Identify potential drop-off points or operational bottlenecks in the order journey.

●     Present insights and recommendations in a clear, business-focused manner.

Instructions

1. Explore ONDC GitHub

●     Visit the ONDC GitHub page.

retail and logistics contract specifications

●     Understand the APIs, endpoints, and workflows for order lifecycle events.

2. Map the End-to-End Order Journey

product discovery → search → selection → cart → checkout → order confirmation → fulfillment → delivery

interaction points between Buyer Apps, Seller Apps, and Logistics Partners

drop-off points or failures

3. Deliverable

PowerPoint presentation

Diagram of the end-to-end order journey

Potential drop-off points or operational challenges

Recommendations or insights

4. Evaluation Criteria

Candidates will be evaluated on:

●     Understanding of e-commerce order flows and network operations.

●     Ability to interpret API contracts and event-driven workflows.

●     Analytical thinking in identifying bottlenecks or drop-offs.

●     Clarity, structure, and business focus in the presentation.

●     Practicality and creativity of recommendations.

Optional Guidance

●     Use diagrams, flowcharts, or visuals to illustrate the journey.

business impact and operational insight

end-to-end visibility