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Data Analyst Executive

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Onsite

Data Analyst Executive

Becon

Data Analyst Executive

Skills

SQL QueriesE-commerce WebsitesData VisualizationData AnalysisAIPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


About BECO

BECO is a fast-growing sustainable home care brand focused on creating high-performance products that are good for both people and the planet. As a digital-first D2C brand, we are rapidly scaling across online and offline channels.

Role Overview

We are looking for a Data Analyst to join our Ecommerce Team. The role involves working with large datasets, transforming data into actionable insights, building dashboards, and supporting data-driven ecommerce decision-making.

Key Responsibilities

  • Analyze large datasets to identify trends, patterns, and actionable insights.
  • Build and maintain Power BI dashboards and reports for ecommerce and business teams.
  • Develop effective data models to support reporting and analysis.
  • Clean, transform, and validate data from multiple sources.
  • Work closely with cross-functional teams to understand business requirements and translate them into analytical solutions.
  • Track key ecommerce, sales, and operational metrics and provide regular insights.
  • Identify opportunities to improve reporting processes and automate recurring analysis.
  • Explore and implement AI-driven tools and solutions to improve data analysis and reporting.
  • Present findings and recommendations clearly to stakeholders.

Requirements

  • 2-4 years of experience in Data Analytics, Business Analytics, or a related field.
  • Strong analytical and problem-solving skills.
  • Good knowledge of Power BI and dashboard development.
  • Strong understanding of data modelling and data visualization.
  • Proficiency in Excel and working with large datasets.
  • Knowledge of SQL is preferred.
  • Ability to interpret data and communicate insights effectively.
  • Strong attention to detail and a structured approach to problem-solving.

Preferred Background

  • Candidates with an Actuarial Science, Statistics, Mathematics, Economics, Computer Science, or other quantitative background would be preferred.
  • Candidates who have worked extensively with large datasets and analytical models will be an advantage.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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