Data Analyst

Company Overview

(Not specified)

Job Summary

We are seeking a highly analytical and business-oriented Data Analyst to transform complex data into meaningful insights that drive strategic decision-making. The ideal candidate will collaborate with various teams including business, marketing, sales, finance, supply chain, and product to build dashboards, identify trends, measure business performance, and provide actionable recommendations.

Responsibilities

• Business Analytics & Insights

  • Analyze large datasets to identify business trends, growth opportunities, and operational improvements.
  • Translate business requirements into data-driven insights and recommendations.
  • Develop reports and dashboards to support leadership decision-making.
  • Perform deep-dive analysis to improve revenue, profitability, and operational efficiency.

• Data Management & Reporting

  • Extract, clean, validate, and transform data from multiple sources.
  • Develop automated dashboards and Management Information System (MIS) reports for business stakeholders.
  • Ensure data accuracy, consistency, and integrity across reporting systems.
  • Create daily, weekly, and monthly business reports.

• Dashboard Development

  • Design and maintain interactive dashboards using Power BI, Tableau, or similar Business Intelligence (BI) tools.
  • Build Key Performance Indicator (KPI) scorecards for different business functions.
  • Automate reporting processes to improve efficiency and reduce manual effort.

• Business Performance Analysis

  • Monitor KPIs across Sales, Marketing, Finance, Operations, Supply Chain, and E-commerce.
  • Identify trends, anomalies, and business risks through data analysis.
  • Perform variance analysis against targets and forecasts.
  • Provide recommendations to optimize business performance.

• Advanced Analytics

  • Perform cohort analysis, customer segmentation, funnel analysis, and predictive trend analysis.
  • Support pricing analysis, demand forecasting, customer behavior analysis, and business planning.
  • Conduct A/B testing and campaign performance analysis.
  • Develop forecasting models to support business growth.

• Cross-functional Collaboration

  • Partner with Product, Marketing, Sales, Finance, Supply Chain, and Operations teams.
  • Gather business requirements and convert them into analytical solutions.
  • Present insights and recommendations to leadership teams.
  • Support strategic projects through data analysis.

Qualifications

• Technical Skills:

  • Strong expertise in SQL (mandatory).
  • Advanced proficiency in Microsoft Excel (Pivot Tables, Power Query, XLOOKUP/VLOOKUP, Macros).
  • Hands-on experience with Power BI, Tableau, or Looker Studio.
  • Strong understanding of data visualization and dashboard design.
  • Knowledge of statistical analysis and business intelligence concepts.
  • Experience working with large datasets and relational databases.

• Soft Skills:

  • Excellent analytical, problem-solving, and communication skills.
  • Strong business acumen with the ability to convert data into actionable insights.

• Educational Qualifications:

  • Bachelor’s degree in Engineering, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related field.
  • Master’s degree or MBA in Analytics is preferred.

Preferred Skills

• 5–8 years of experience as a Data Analyst, Business Analyst, or Business Intelligence Analyst.
• Experience in Direct-to-Consumer (D2C), E-commerce, Fast-Moving Consumer Goods (FMCG), Consumer Goods, Retail, Beauty & Personal Care, or Startup environments is highly preferred.
• Experience with cloud data platforms (BigQuery, Snowflake, Redshift, Azure, or AWS) is an added advantage.
• Knowledge of Python or R for data analysis is a plus.

Experience

6-10 years of relevant experience as a Data Analyst or in similar roles.

Environment

The position will be based in Mumbai, with a hybrid work model that combines in-office and remote work.

Salary

(Not specified)

Growth Opportunities

(Not specified)

Benefits

(Not specified)