Data Analyst

As a

Data Analyst

, you will play a critical role in unlocking business growth by leveraging data to drive decision-making across ecommerce and retail domains.You’ll work cross-functionally with teams to build scalable data pipelines, interactive dashboards, and actionable insights. This role blends technical expertise with domain knowledge to support performance optimization, campaign analytics, and executive reporting.This is a hands-on, high-impact role for someone with strong Python and SQL skills who thrives in a fast-paced, data-driven environment.

Your Responsibilities

• Business Impact through Insights - Analyze large volumes of ecommerce and retail data to surface trends, identify customer behavior patterns, and uncover business opportunities.
• Visualization & Storytelling - Build and maintain interactive dashboards using Streamlit, Power BI, or Tableau to communicate insights clearly to internal and external stakeholders.
• SQL Mastery - Write complex SQL queries using window functions, CTEs, and subqueries for deep data exploration, aggregation, and reporting.
• ETL & Data Pipelines - Develop robust ETL workflows to ingest, transform, validate, and monitor data from multiple sources, following best practices in automation, error handling, and logging.
• Collaborative Development - Use Git workflows for version control, ensuring reproducibility and smooth team collaboration.
• Executive Reporting - Create KPI dashboards and reports tailored for leadership, enabling data-driven decisions across sales, marketing, and operations.
• Domain Understanding - Apply contextual knowledge of ecommerce and retail—such as customer analytics, conversion metrics, and product-level sales—to frame insights that drive growth.
• Optional Tech Extensions - Support deployment using GCP, Docker, and FastAPI if needed for API exposure or scalable infrastructure.
  

Skill Sets/Experience We Require

Experience - 1–3 years in data analysis, with proven hands-on work in ecommerce/retail and/or other consumer industries and digital first brands.

Technical Expertise

• Python (Pandas, Plotly) – for analysis and visualization
• Advanced SQL – including joins, window functions, performance tuning, and data modeling
• Streamlit (preferred) – for building interactive analytical applications
• Power BI / Tableau – for scalable enterprise dashboarding
• ETL Workflow Design – including scheduling, validation, and monitoring
  

Data Scale

- Comfortable working with moderate to large datasets (100K+ records)

Best Practices Champion

- Applies version control, modular coding, and testing principles in all data workflows

Bonus Skills

(Good to Have)

• Cloud Infrastructure - GCP experience
• DevOps - CI/CD pipeline integration and Docker
• API Development - Experience with FastAPI for building data services
  

Soft Skills

• Analytical thinking and structured problem-solving
• Strong communication with non-technical stakeholders
• Ownership mindset and collaborative attitude
  

Why Join WebEngage?

• High-Impact Role - Shape the success of multiple brands, influence their business KPIs, and contribute directly to WebEngage’s growth through strong client retention.
• Diverse Industry Exposure - Work with clients from E-Commerce, BFSI, Edtech, Gaming, and more—offering unique challenges and learning opportunities.
• Tech-Driven Environment - Collaborate with cutting-edge Mar-Tech solutions, leveraging data and automation to drive business impact.
• Supportive Work Culture - Experience an inclusive, growth-oriented, and flexible workplace that values innovation and collaboration.
  

Perks & Benefits -

• Learning & Development - Access to mentorship, tools, and knowledge resources to enhance your Martech expertise.
• Tech Setup - MacBook for all Engagers!
• Well-being Support - Best-in-class medical insurance, mental health programs, and a contemporary leave policy beyond sick leaves.
• Growth & Autonomy - A culture that fosters ownership, learning, and work-life balance.