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.
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.
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field.
Relevant experience in Data Analytics is mandatory.
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.
Skills Required
- 1-2 years of relevant experience in Data Analytics
- Hands-on experience with Power BI
- Practical experience with ETL processes
- Analytical and problem-solving skills
- Hands-on experience using AI tools or technologies for data analysis, automation, or reporting
- Strong knowledge of Microsoft Excel and data handling
- Good understanding of SQL
- Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field
- Ability to convert complex data into clear, actionable business insights
- Strong attention to detail and accuracy
What We Do
Dermatouch is an India-based dermatology-led skincare brand and online platform offering personalized, clinically tested products for common skin concerns. Its range includes serums, creams, sunscreens, toners, moisturizers, and other formulations designed to address pigmentation, dark spots, acne, scars, and related needs. Customers can take a skin test and purchase customized products, while the company also serves retail and healthcare distribution partners.
