AI & Power BI Developer
(HE)Office Commerzone, India
Hitachi
Official website of Hitachi, Ltd. Hitachi drives Social Innovation Business, creating a sustainable society with data and technology. We will solve customers' and society's challenges with Lumada solutions leveraging IT, OT (Operational...Location:
Chennai, Tamil Nadu, IndiaJob ID:
R0098035Date Posted:
2025-06-27Company Name:
HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITEDProfession (Job Category):
Data Analytics/Business IntelligenceJob Schedule:
Full timeRemote:
NoJob Description:
The opportunity:
To leverage the Microsoft Power Platform, data science, and artificial intelligence to deliver robust and scalable solutions that unlock business value, enable data-driven decision-making, and significantly enhance operational capabilities.
How you’ll make an impact:
Design, develop, and maintain interactive and insightful Power BI reports and dashboards. Connect to various data sources, perform data modeling, and implement complex DAX calculations to provide meaningful business intelligence.
Build custom low-code/no-code applications using Power Apps to streamline business processes, improve data collection, and enhance user experience.
Design and implement automated workflows using Power Automate to integrate disparate systems, automate repetitive tasks, and improve operational efficiency.
Apply statistical analysis, data mining, and data visualization techniques to explore complex datasets, identify trends, and derive actionable insights.
Develop and deploy machine learning models (e.g., predictive analytics, classification, clustering) and integrate AI capabilities (e.g., cognitive services) into Power Platform solutions to enhance their intelligence and functionality.
Collaborate with data engineers and source system owners to ensure data quality, consistency, and accessibility for analytics and AI initiatives. Perform data cleaning, transformation, and feature engineering.
Work closely with stakeholders to understand business requirements, translate them into technical specifications, and design comprehensive solutions leveraging the appropriate technologies.
Identify and resolve issues within existing Power Platform applications and data models and continuously seek opportunities to optimize performance and user experience.
Create clear and concise technical documentation and provide training to end-users on developed solutions.
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 degree in computer science, Data Science, Engineering, Statistics, or a related quantitative field.
3-5 years of professional experience in a role involving data analytics, business intelligence, or software development with a focus on data-driven solutions.
Strong experience in data modeling, DAX, report design, and connecting to various data sources (SQL, SharePoint, Excel, APIs, etc.).
Building canvas apps and/or model-driven apps, connecting to data sources, and implementing business logic.
Knowledge of common ML algorithms (e.g., regression, classification, clustering) and experience in building, training, and deploying models.
Exposure to pre-built AI models, cognitive services, or integrating AI capabilities.
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Business Intelligence Classification Clustering Computer Science Data Analytics Data Mining Data quality Data visualization Engineering Excel Feature engineering Machine Learning ML models Power BI SharePoint SQL Statistics
Perks/benefits: Career development
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