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.
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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.
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