Location: Bangalore, Mumbai, Indore
Company: PharmEasy
The Analytics Team at PharmEasy is a centralized hub driving data-driven decision-making across the organization. We aim to make healthcare more accessible, available, and affordable by leveraging diverse datasets, tools, and advanced techniques. As a data-first organization, we contribute to various aspects of analytics, from data enrichment and modeling, to descriptive dashboarding, investigative analysis, and building predictive algorithms that create real business impact.
Our team works closely with business owners, decision makers, and product leaders, offering a rich experience in problem-solving and driving insights in a dynamic, modern setup. Over time, team members gain exposure to different business units across the healthcare ecosystem, honing their expertise and growing within the organization.
As a Data Analyst, your role will be pivotal in helping the business teams make informed, data-driven decisions. You will work closely with various stakeholders across the Business, Product, and Data Engineering teams. Your responsibilities will include:
Gathering Business Requirements:
Collaborate with business teams to understand their needs, identify the underlying business case, and develop generalized data solutions.
Data Extraction & Exploration:
Extract and clean data from multiple sources, ensuring accuracy and completeness. Address any data issues, missing values, or anomalies.
Data Insights & Reporting:
Convert cleaned data into actionable insights and communicate findings to relevant stakeholders through reports and dashboards.
Automation:
Automate recurring data tasks to streamline processes and improve efficiency.
Collaboration & Communication:
Work with Data Engineering to flag and address data quality issues. Ensure new business requirements are vetted and signed off before implementation.
Knowledge Sharing:
Share insights and best practices within the team and across other departments, ensuring continuous learning and collaboration.
Experience:
1 to 2 years of work experience in a data analyst role, ideally within a consumer-facing company.
Technical Skills:
Automation Skills:
Basic automation experience using Google Sheets or Microsoft Excel is a must.
Bonus Skills:
Communication & Data Inquisitiveness:
Strong communication skills for gathering business requirements and sharing insights. A keen curiosity for data, with an ability to dig deeper and uncover trends and patterns.
