Senior Data Analyst

Job Description:

Job Title Senior Data Analyst Job Description (in brief) We are looking for a Senior Data Analyst with strong expertise in data processing & building pipelines using SQL, Power BI, Python. In this role, you will own the datasets and dashboards that drive most important decisions across retail,finance and logistics domain. You will be responsible for ensuring data accuracy, building scalable pipelines, and transforming complex data into actionable insights that improve network performance. Your work will directly influence core operational and growth metrics such as seller discoverability, catalogue quality, order funnel conversion, TAT adherence, fill rate, cancellations, and SLA compliance. You will work extensively with e-commerce APIs, understanding how network participants communicate through synchronous and asynchronous API calls, and how data from these interactions is captured and analyzed to drive actionable insights. By combining technical depth with business acumen, you will enable us to scale its network sustainably while improving both participant and customer experience. 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 ● 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 Profile 1. 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 transactio