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Business Analyst

2 months ago

Mumbai, India Husk Power Systems Full time

Position Objective:

This position offers the candidate an opportunity to solve complex data driven problems across domains at a fast-growing, mission-driven company. It provides the opportunity to join a growing team that is changing the face of rural electrification and commerce in India and Africa. The ideal candidate has a positive

attitude, is a team player, believes in Husk’s values, has the inherent curiosity to find creative solutions to complex problems, and has an appetite for growth.


Job Responsibilities:


  • Use automated tools to extract data from primary and secondary sources.
  • Fix corrupted data, coding errors and related problems.
  • Develop and maintain databases, data systems – reorganize data in a readable format.
  • Perform relevant analysis to assess quality and meaning of data across product, marketing, supply and operations functions. 
  • Filter data by reviewing reports and performance indicators to identify problem statements and provide solutions.
  • Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
  • Assign numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
  • Extract and analyze local, national, and global trends that impact both the organization and the industry.
  • Work with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Recruit and manage a team of data analysts / scientists. 



Requirements


Essential:


  • Bachelor's degree in an Engineering, Mathematics, or Statistics discipline. 
  • 4+ years of experience handling data and data driven decision making.
  • Knowledge of programming languages like SQL and Python, R, MATLAB.
  • Demonstrated experience in data driven business analysis such as customer segmentation, customer trend analysis, churn analysis, demand forecasting, supply ops and inventory optimizations.  
  • In-depth knowledge of data visualization software like Power BI, Tableau.
  • Experience with Javascript, XML, or ETL frameworks.
  • Technical proficiency regarding database design & development, data warehousing, data models, techniques for data mining, and segmentation.
  • Knowledge of NLP techniques and predictive modeling. 



Preferred:


  • Self-starter who is comfortable taking a task and delivering on it without micromanagement with preferred background 
  • Experience in managing a team of data analysts or scientists in e-commerce, quick commerce, retail, banking or new age startups.  
  • Experience with Metabase or similar tools. 
  • Understanding of AI/ML Modeling and IOT.