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