Designation : Senior Business Analyst

Location : Bangalore, Mumbai, Indore

Our Team

PharmEasy

PharmEasy was founded in 2015 with the sole purpose to make healthcare more available, accessible and affordable to all through the extensive use of new-age cutting-edge technology. Today, we are one of India's largest healthcare aggregators connecting millions of consumers to licensed pharmacies & diagnostic centres online for all their medical needs. We are particularly catering to the chronic-care segment, and offer a range of services including medicine delivery, tele-consultation, sample collection for diagnostic tests as well as subscription-based services for all these categories.

Our highly efficient and technology led Consumer and Supply-chain platforms ensure that medicines are delivered from a licensed pharmacy within six hours of the validation of prescriptions submitted by our customers. And such customer promises are improving with the increasing scale of our business, and continuous product innovation.

By extensively leveraging the latest in hardware and software technology, we are also committed to eradicate fake medicines from the Pharma ecosystem that contribute to roughly 30% of drug volumes in India. Our product innovations have allowed for complete data transparency in the entire Pharma supply-chain to empower even the end-users to validate the authenticity and genuineness of the medicines for every medicine sold, using constructs such as unique barcoding of information like expiry dates, origination of drugs etc.

With our scalable technology and processes, we are now reliably delivering healthcare services and medicines to almost every pin code in the country.

Analytics @ Pharmeasy:

The analytics team at PharmEasy is a centralized team helping the organization in problem solving and making data-driven decisions 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 RCAs and insight generation, from building predictive/prescriptive algorithms to integrating these into product to create real business impact.

Team members also gather a good amount of soft skill exposure working closely with key business owners, decision makers and product leaders that leads to building a well rounded experience in problem solving within a new-age tech set up. Over the years, team members also get to work across a variety of business areas and product lines providing deep insight into healthcare ecosystem of the country

Responsibilities :

A Senior Business Analyst 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 Senior Business Analyst would also be responsible for sharing insights and learning basis the data exploration/mining and convert these into clear action points and ensure that the same are being worked upon. The Senior Business Analyst would also be responsible to mentor the junior analysts within the team

• 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 ?

• 3 to 5 years of work experience in the relevant field, preferably in a consumer facing company
• Proficient in SQL and/or HQL , 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
• Hands on Knowledge of Python programming and Python for Data Analytics
• Hands on Knowledge on Machine Learning and Data Science Algorithms
• Communication skills to get the business requirements and give out the final insights
• Data Inquisitiveness
• Prior experience of mentoring / onboarding other junior analysts is a plus