Jr. Data Analyst

Hitachi Energy

1 - 3 years

2 - 6 Lacs

chennai

Posted:2 weeks ago| Platform:

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Skills Required

power system sales incharge data science analytical machine learning data quality sales management python junior data analyst

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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