Business Analyst

Designation : Business Analyst

Location : Bangalore & Navi Mumbai Location

Responsibilities :

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

• 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 ?

• 2 to 4 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
• Working knowledge on Machine Learning and Data Science Algorithms are a plus
• Communication skills to get the business requirements and give out the final insights
• Data Inquisitiveness