Data Analyst

Location
Ahmedabad City
Workplace
On-site
Employment
Full-time
Compensation
₹20k – ₹30k

About this role

We are looking for a Data Analyst with 1–2 years of relevant experience in Data Analytics. The ideal candidate should have strong analytical skills and hands-on experience with ETL processes, Power BI, and AI tools/technologies.

Key Responsibilities

  • Collect, clean, transform, and analyze data from multiple sources.

  • Handle ETL (Extract, Transform, Load) processes and ensure data accuracy and consistency.

  • Develop and maintain Power BI dashboards, reports, and visualizations.

  • Analyze data to identify trends, patterns, and actionable business insights.

  • Leverage AI tools and technologies to enhance data analysis, reporting, automation, and decision-making.

  • Identify opportunities to automate and improve existing data and reporting processes.

  • Work with internal stakeholders to understand business requirements and provide data-driven solutions.

  • Prepare and present analytical reports and insights to management.

  • Ensure data quality, accuracy, and timely reporting.


Requirements


  • 1–2 years of relevant experience in Data Analytics.

  • Strong hands-on experience with Power BI.

  • Good understanding and practical experience of ETL processes.

  • Strong analytical and problem-solving skills.

  • Hands-on experience using AI tools/technologies for data analysis, automation, or reporting.

  • Strong knowledge of MS Excel and data handling.

  • Good understanding of SQL.

  • Ability to convert complex data into clear and actionable business insights.

  • Strong attention to detail and accuracy.

Qualification

  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.

  • Relevant experience in Data Analytics is mandatory.

Preferred Candidate

A candidate who is analytical, data-driven, tech-savvy, and comfortable working with AI, Power BI, ETL, and large datasets.

  • Ensure data accuracy, integrity, and timely availability.

  • Work with stakeholders to understand business requirements and translate them into analytical solutions.

  • Identify opportunities to improve reporting and data analysis processes.

  • Present data-driven insights to support business decision-making.



Benefits


  • A growing skincare brand with a focus on science-backed, dermatologist-led products
  • A collaborative work culture where ideas are heard and teamwork is valued
  • Opportunities to learn, take ownership, and grow with the company
  • Exposure to how a skincare brand works, across teams and functions
  • A supportive and inclusive workplace


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