Analytics @ Pharmeasy:

The analytics team at PharmEasy is a centralized team helping the organization in problem solving and making data-driven decisions with the core objectives of making healthcare more accessible, available and affordable using a wide variety of datasets, tools and techniques.
Being a data first organization, the team contributes vigorously across all facets of analytics from data enrichment and modelling, from descriptive dashboarding to investigative root cause analysis and insight generation, from building predictive/prescriptive algorithms to product integration to create real business impact. 
Team members also gather a good amount of exposure working closely with key business owners, decision makers and product leaders that leads to building a well rounded experience in problem solving in a new age set up. Over the years, team members also get to work across a variety of business units within healthcare ecosystem

Responsibilities : 
Data Analyst Intern would be responsible for working closely with the Business Teams and helping them in making data driven decisions. This would require cross-communication between the Business Team, Product Team & Data Engineering as well. Apart from solving the business problem at hand, a Data Analyst would also be responsible for creating reports and dashboards, automating repeated tasks, sharing insights and learning basis the data exploration/mining

• Getting business requirements from the respective Business Teams, identifying the underlying business case and building a generalized solution
• Extracting & Exploring the data from database and other sources that may exist, cleaning the data for any issues/missing values also needs to be owned upon.
• Converting the cleaned data into actionable insights and sharing the same with relevant Audience
• Automation of data problems/solutions that occur recursively
• Flagging to Data Engineering in case of data sanity issues are to be seen
• Ensure that the action insights shared with the business teams are worked upon
• Ensure new business requirements are thoroughly vetted and signed off
• Knowledge sharing within the team and outside if required

What are we looking for 

• Proficient in SQL and/or HQ,  ability to handle complex/inner queries
• Hands-on with Google Sheets / Microsoft Excel (basic data cleaning, pivoting and data exploration)
• Must have worked on any one Data Visualization Tool (Tableau, Power BI, Microstrategy, Metabase etc)
• Basic automation skills using Google Sheets or Microsoft Excel are expected
• Working knowledge on handling data in R/Python is a plus
• Communication skills to get the business requirements and give out the final insights
• Data Inquisitiveness