Live opening · Posted 9 days ago
Data Analyst
SastaSundar - Health & Happiness · Greater Delhi Area (On-site)
You are 9 days behind. JobBeeper subscribers saw this role while it was still new.
At a glance
The key details from the original listing.
CompanySastaSundar - Health & Happiness
LocationGreater Delhi Area (On-site)
Work modeNo
Source
Linkedin
Listed9 days ago
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About the role
Description supplied by the original job listing.
Company Description SastaSundar - Health & Happiness is a consumer-focused digital healthcare platform that integrates pharmacy, diagnostics, and wellness services. The company leverages technology to make quality healthcare products and services more accessible and affordable. By combining data-driven insights with a strong customer focus, SastaSundar aims to improve health outcomes and everyday wellbeing. Team members collaborate across functions to support a seamless healthcare experience for users and partners.
Role Description The Data Analyst role at SastaSundar - Health & Happiness is a full-time, on-site position based in the Greater Delhi Area. The Data Analyst will collect, clean, and manage data from multiple sources related to pharmacy, diagnostics, and wellness operations. Day-to-day responsibilities include building reports and dashboards, analyzing trends, and generating actionable insights to support business decisions and performance improvement. The role involves collaborating with product, operations, marketing, and leadership teams to translate data findings into practical recommendations. The Data Analyst will also help improve data processes, ensure data quality, and support ad hoc analysis for strategic initiatives.
Qualifications
Strong analytical skills with experience in data analytics and data interpretation.
Knowledge of statistics and statistical methods for reporting, forecasting, and hypothesis testing.
Ability to design and work with data modeling techniques, including structuring datasets for analysis and reporting.
Effective communication skills to present complex findings clearly to technical and non-technical stakeholders.
Proficiency in tools such as Excel, SQL, and at least one analytics or BI platform (e.g., Power BI, Tableau, Looker).
Familiarity with programming languages for data analysis (e.g., Python or R) is preferred.
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, Computer Science, or a related discipline.
Experience in healthcare, e-commerce, or digital platforms is an advantage, along with a strong attention to detail and a data-driven mindset.
Work arrangement
No
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