PharmEasy - Business Analyst

Responsibilities :

- A 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 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 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 ?

- 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