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Job Description:
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.”
Mission statement:
Basic knowledge in analyzing the data and visualization of reports for decision making to present sales data. You are responsible for supporting the Pricing team and Strategic Marketing function team of the global Business Unit (BU) High.
Your responsibilities:
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 build 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 to develop and implement competitive pricing strategies / Prize wizard, Opportunity trend, etc.
Be in charge of the development and updation of reports and dashboards (in particular, but not limited to, Salesforce.com and SalesBI, PowerBI etc) as well as related user training in order to increase the analytical capabilities of our sales management around the globe.
Support analytics of the competence development activities and marketing demand generation
Responsible to continuously improve process performance and data quality
Drive implementation of pricing management system across all production units
Document and follow the guidelines for the efficient business
Advanced ability to present pricing analysis reports to relevant stakeholders.
Assess data from different sources to gain insights into pricing strategies and market trends.
Your background:
Knowledge of the Power BI platform with hands-on experience in data visualization concepts, such as designing dashboards.
Know-how to extract & model data from various data sources (SAP, SQL, etc.) with expertise in handling live connections of data from different systems.
1-3 years of experience in Data Analytics or similar roles including all aspects of data analytics (mining, generation and visualization)
Exposure to Python skill is added advantage
Strong skills required in: Excel, Power Pivot,
Strong math skills (e.g. statistics, algebra), analytical mind and business acumen
Problem-solving aptitude
Proficient advanced knowledge of the Power BI platform andHands-on experience in data visualization concepts, such as designing dashboards.
Excellent communication and presentation skills
Exposure and work experience with Python code is added advantage
Hands-on experience in data visualization concepts, such as designing dashboards.
Ability to independently extract & model data from various data sources (SAP, SQL, etc.).
Proven expertise in handling live connections of data with different systems.
Any graduation (Science, Statistics, Computer applications, Engineering)