Data Analyst

Distacart; Mumbai; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Distacart in Mumbai is seeking a Data Analyst to extract, clean, and analyze e-commerce and FMCG data, including marketplace, sales, and marketing metrics, using AI-assisted analytics tools. You will build consumer analytics capabilities, design live dashboards for daily updates, and collaborate with E-commerce, CRM, and product teams to translate findings into actionable recommendations.

Applicants should be detail-oriented and able to communicate insights to non-technical stakeholders, with a

Qualifications

• Proficient in Excel/Google Sheets and SQL for data extraction and manipulation.
• Experience with data visualization tools such as Power BI, Tableau, Looker Studio or equivalent.
• Basic Python or scripting for data cleaning and automation.
• Understanding of e-commerce marketplace data structures (Amazon/Walmart, D2C).
• Experience with AI-assisted analytics workflows and BI copilots.

Responsibilities

• Extract, clean, and analyze e-commerce and FMCG data across marketplaces, sales and marketing.
• Build segmentation and consumer analytics to support growth strategies.
• Design and maintain live dashboards for daily management updates.
• Analyze historical data to identify insights and trends for product decisions.
• Conduct secondary research using open-source data for planning and sizing.
• Run weekly competitive/market audits and translate findings to actionable recommendations.

Skills

Excel/Google Sheets

SQL

Power BI/Tableau/Looker Studio

Python basics

E-commerce data structures

AI-assisted analytics

Prompt engineering

Tools

Power BI Copilot

GitHub Copilot

AI copilots for BI

Job description

Key Responsibilities:

Position: Data Analyst

Location: Mumbai (Andheri)

• Extract, clean, and analyze e-commerce and FMCG data, including marketplace, sales, and marketing data, using modern AI-assisted analytics tools.
• Build consumer analytics capabilities, including segmentation, consumer behavior, and purchase-pattern analysis, to support growth strategies.
• Design and maintain live/real-time data visualization dashboards for daily management updates.
• Analyze historical data to identify new insights and trends that support business and product decisions.
• Conduct secondary research using open-source data for business planning and market sizing.
• Conduct regular weekly competitive and market audits, tracking key competitors on pricing, positioning, and performance.
• Partner with business teams, including E-commerce, DistaX, and CRM, to translate data findings into actionable recommendations.

Must-Have Skills & Tools

• Strong proficiency in Excel/Google Sheets and SQL for data extraction and manipulation.
• Experience with data visualization tools such as Power BI, Tableau, Google Data Studio/Looker Studio, or equivalent.
• Basic knowledge of Python or scripting for data cleaning and automation, including pandas or equivalent tools.
• Understanding of e-commerce marketplace data structures, including Amazon/Walmart seller metrics and D2C/Shopify analytics.

AI Tools & Modern Skill Sets

• Experience with AI-assisted analytics workflows using ChatGPT, Claude, or equivalent tools for exploratory analysis and insight generation.
• Familiarity with AI-enabled BI copilots, such as Power BI Copilot, Looker AI, or equivalent, for faster dashboard development.
• Experience using AI-assisted coding tools, such as GitHub Copilot or equivalent, to support Python and SQL scripting.
• Knowledge of AI-based web research and scraping tools for secondary and open-source data collection.
• Strong prompt engineering skills to build repeatable AI-driven analysis and reporting workflows.

Good to Have

• Experience with marketplace analytics tools such as Helium 10, Jungle Scout, or similar platforms.
• Exposure to FMCG or consumer goods category data.
• Familiarity with competitive intelligence and market research tools.

Who You Are

• Detail-oriented, with a genuine curiosity to understand what the data is really saying.
• Comfortable working in a fast-paced environment and iterating quickly.
• Able to communicate data findings clearly to non-technical business stakeholders.
• Proactive about adopting new AI tools and technologies to work faster and generate deeper insights.

Success Metrics First 6 Months

• Live management dashboard(s) built and adopted for daily decision-making.
• Weekly competitive and market audits running consistently with clear and actionable insights.
• At least one data-driven insight directly influencing a growth or pricing decision.
• Core data extraction and cleaning workflows automated, reducing manual turnaround time.
• A consumer analytics framework established and actively used by business teams.

Contact Person - Yamini HR

Email - [e-mail]