Business information:

“The Hitachi Energy Indian Operations Center (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, project Management, functional system testing, installation supervision, documentation and commissioning.”

Your responsibility:

• Manage, extract and analyze data from sales/financial tools and other relevant sources to identify trends, growth opportunities and measure the performance of specific activities or initiatives 

• Understand the product & market segmentation of portfolio and built know-how of data eco systems in various production units 

• Define, measure, visualize and interpret key Sales KPIs (target achievement, Price performance, Order trend, pipeline development, etc.), profitability as well as data quality KPIs. 

• Collaborate with data Scientist & Pricing specialist

• Manage, extract and analyze data from sales/financial tools and other relevant sources to identify trends, growth opportunities and measure the performance of specific activities or initiatives 

• Understand the product & market segmentation of portfolio and built know-how of data eco systems in various production units 

• Define, measure, visualize and interpret key Sales KPIs (target achievement, Price performance, Order trend, pipeline development, etc.), profitability as well as data quality KPIs. 

• Collaborate with data Scientist & Pricing specialist.

Your background:

• BE/B/Tech in Computer Science, Data Science, or related discipline. A Master is of course a plus.
• 2 (or more) years of related working experience. 
• Basic knowledge of SQL Server or a similar relational database
• Proficiency in Microsoft Power BI
• Machine Learning algorithm expertise is a valuable plus
• Experience of at least proven basic understanding of Distribution Transformers, or in general Power Distribution Industry related topics.  
• Experience in utilizing cloud-based environment for developing machine learning solutions such as Azure Machine Learning. 
• Proven record to learn new business background, engineering and manufacturing process quickly
• Display a proficiency in the creation and maintenance of data warehouse, business intelligence initiatives and asset diagnostic algorithms. 
• Experience with Python would be a plus.