Data Analyst
2 days ago
# Hiring #Data Analyst #SQL #Power BI #Python #ETL #SQL #API
We are looking for a
Senior Data Analys
t with strong expertise in data processing & building pipelines using SQL, Power BI, Python.
Job Title Senior Data Analyst
Location: Delhi
Experience: 5+ Years
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 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.
● Understand and analyze end-to-end e-commerce order flows.
● Interpret 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.
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