Data Engineer

Overview

Develop data analytics models & insights for sales, pricing & market trends in High Voltage BU

Key Responsibilities

• machine learning
• data cleaning
• python development
• predictive modeling
• data analysis
• reporting

Tasks

-Utilize machine learning algorithms and statistical techniques to build robust models. -Perform data cleaning, preprocessing, and validation to ensure data quality and accuracy. -Collaborate with Global, HUB & Pricing specialist to develop and implement competitive strategies, etc. -Collaborate with CFT to understand business requirements and translate them into analytical solutions. -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. -Assess data from different sources to gain insights into pricing strategies and market trends. -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. -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. -Responsible to continuously improve process performance and data quality -Document and follow the guidelines for the efficient 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. -Develop and implement predictive models to forecast future sales and demand for power system products. -Analyze historical sales data to identify trends, patterns, and insights that can drive business decisions. -Continuously monitor and improve model performance based on feedback and new data.

Requirements

• python
• sql
• machine learning
• tableau
• cloud
• bachelor's

What You Bring

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

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About Hitachi Energy Ireland Limited

-Leads in energy management with pioneering technologies. -Focuses on renewable energy to drive cleaner and efficient power systems. -Provides solutions across energy generation, transmission, and distribution. -Operates in sectors including wind, solar, utilities, and transportation infrastructure. -Innovates in industrial automation with cutting-edge energy optimization systems. -Involved in electrifying remote regions for improved energy access. -Employs digital tools for data-driven grid improvements and performance enhancement.

Sector Specialisms