# 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)