Overview
Skills
Job Details
This is a remote role. Cannot sponsor or transfer visa. Need candidates who will not require sponsorship in future.
Daily report enhancements (Power BI and training work)
FAM report completion (Power BI and training work)
Gray Sky Forecasting (AI, Python/statistical modeling, some Power BI work)
L&B Forecasting (AI, Python/statistical modeling)
Requirements
Responsibilities:
Design, develop, and optimize Power BI dashboards and reports using multiple data sources
Implement robust data models and create measures to handle non-standard data scenarios
Integrate AI features within Power BI for predictive insights and advanced analytics
Collaborate with Finance and cross-functional teams to understand business needs and translate them into effective solutions
Ensure solutions are simplified, maintainable, and well-documented for future updates
Apply time series analysis and other advanced techniques where needed
Present and explain technical work in clear, non-technical language
Provide technical training to Finance team for our professional development
Skills Required:
Advanced Power BI expertise (DAX, Power Query, data modeling)
Familiarity with AI and predictive analytics integration
Python and statistical modeling experience
Training and communication skills for knowledge transfer
Business acumen and problem-solving ability
Knowledge of financial terminology and forecasting concepts
Education & Experience:
Bachelor?s degree in Finance, Computer Science, Information Systems, or related field
Benefits
2+ years of experience in BI development, with at least 2 years in advanced Power BI roles
2+ years of experience in machine learning models using Python, R, etc.
Proven experience with data modeling, performance optimization, and integration of multiple data sources
Exposure to AI-driven analytics and Python-based statistical modeling
Preferred Qualifications:
Microsoft Certified: Data Analyst Associate or similar certifications
Familiarity with advanced analytics and machine learning concepts
Key Performance Indicators (KPIs):
Timely delivery of BI and data modeling solutions aligned with business requirements
Accuracy and reliability of data presented in dashboards and reports
Performance optimization and scalability of Power BI solutions
Documentation and knowledge transfer to internal team members