Senior Data Analyst

Job TitleSenior Data AnalystJob Description (in brief)Day-to-Day ResponsibilitiesData 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●     Monitor and analyze key operational metrics: TAT breach, fill rate, cancellations, delivery aging, and SLA adherence.●     Work with API-based logs and event-driven datasets to understand order lifecycle behavior, identify drop-offs, and ensure log compliance across buyer and seller platforms.●     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 Profile1.    Education & Experience●     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.●     Preferably atleast 2 years in e-commerce, retail, or logistics analytics . And strong understanding of the digital commerce funnel : catalog ingestion, search & discovery, cart & checkout, order confirmation, fulfillment SLAs, and post-purchase resolution.2.    Technical Skills●     Proficiency in SQL ,PostgreSQL for advanced querying, data modeling, and ETL.●     Strong experience with Power BI (dashboarding, role-level security, optimization).●     Hands-on experience in Python for data processing, automation, and statistical analysis.●     Advanced user of Excel for ad-hoc analysis and modeling.●     Familiarity with analyzing transactional or API-driven datasets (e.g., order lifecycle events, SLA tracking, compliance logs).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.