Data Analyst

Company Description Krishna's Herbal & Ayurveda, founded in 2007 and headquartered in Jodhpur, Rajasthan, is a flagship Ayurvedic wellness brand under Sandipani Healthcare Private Limited. The company focuses on making authentic, scientifically developed herbal healthcare solutions accessible to households in India and abroad. With two GMP-certified manufacturing facilities, an in-house quality control laboratory, and a team of over 600 professionals, the organization supports scalable, high-quality production. Its portfolio includes more than 170 Ayurvedic and herbal products across wellness, nutrition, preventive healthcare, and personal care, serving domestic and international markets. Backed by strong annual recurring revenue and an expanding global footprint, Krishna's Herbal & Ayurveda continues to invest in innovation, quality, and customer trust to make Ayurveda a preferred healthcare choice worldwide.
Role Description This is a full-time, on-site Data Analyst role based in Jodhpur. The Data Analyst will collect, clean, and analyze data from various business functions such as sales, operations, supply chain, and marketing to generate actionable insights. Responsibilities include building dashboards and reports, developing data models, and performing statistical analysis to support decision-making and performance tracking. The role involves collaborating with cross-functional teams to understand their data needs, translating business questions into analytical problems, and presenting findings in clear, structured formats. The Data Analyst will also contribute to improving data quality, standardizing data processes, and supporting forecasting, trend analysis, and KPI measurement for the organization’s growth initiatives.
Qualifications
Strong Analytical Skills and experience in Data Analytics to interpret complex datasets and derive meaningful insights.
Proficiency in Statistics and Data Modeling to support forecasting, trend analysis, and performance measurement.
Effective Communication skills to present findings clearly to stakeholders and collaborate with cross-functional teams.
Hands-on experience with data tools and languages (e.g., Excel, SQL, Power BI/Tableau, Python/R) for data processing and visualization.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field; advanced degree is an advantage.
Ability to work with large datasets, maintain data accuracy, and follow structured data governance practices.
Experience in FMCG, healthcare, wellness, or manufacturing analytics is preferred.
Strong problem-solving mindset, attention to detail, and ability to work on-site in a fast-growing, data-driven environment.

Work arrangement
No