Data Engineer

The Opportunity

Our Indian Operations Centre (INOPC) is a competence center with around 2600+ skilled engineers who focus on tendering, engineering, planning, procurement, functional system testing, installation supervision, and commissioning. Over the last decade, INOPC has evolved to become the largest engineering hub serving more than 40 countries across different energy sectors. The team caters to the four business units—Transformers, Grid Integration, Grid Automation, High Voltage and has successfully executed engineering and commissioning for projects in more than 80 countries.

How You’ll Make An Impact

• Responsible for supporting the Sales and Strategic Marketing functions of the global Business Unit (BU) High Voltage in understanding market, competitor trends and Price performance by developing and implementing state-of-the-art data Analytics model as well as process and tool support.
• Understand the product & market segmentation of portfolio and build know-how of data eco systems in various process involved in Business.
• Prepare reports with clear information understanding the raw information and interpret the date in optimized KPIs (target achievement, Price performance, Order trend, pipeline development, etc), profitability.
• Collaborate with Global, HUB & Pricing specialist to develop and implement competitive strategies, etc.
• Be in charge of the development and updation of models using Python as well as related user training in order to increase the analytical capabilities of our sales management around the globe.
• Responsible to continuously improve process performance and data quality
• Document and follow the guidelines for the efficient business
• Assess data from different sources to gain insights into pricing strategies and market trends.
• Analyze historical sales data to identify trends, patterns, and insights that can drive business decisions.
• Develop and implement predictive models to forecast future sales and demand for power system products.
• Collaborate with CFT to understand business requirements and translate them into analytical solutions.
• Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy.
• Utilize machine learning algorithms and statistical techniques to build robust models.
• Continuously monitor and improve model performance based on feedback and new data.
• Stay updated with the latest industry trends and advancements in data science and machine learning.
• Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.
• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business
  
  

Your Background

• Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field.
• Any graduation (Science, Statistics, Computer applications, Engineering) 4 -7 years relevant experience
• Proven experience in data analysis, modeling, and machine learning.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong understanding of statistical methods and machine learning algorithms.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.
• Knowledge of big data technologies and cloud platforms.
• Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Attention to detail and a commitment to delivering high-quality digital solutions
  
  

Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future.

We employ around 45,000 people in 90 countries who each day work with purpose and use their different backgrounds to challenge the status quo. We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.