Power BI Developer

System Soft Technologies is widely recognized for its professionalism, strong corporate morals, customer satisfaction, and effective business practices. We provide a full spectrum of business and IT services and solutions, including custom application development, enterprise solutions, systems integration, mobility solutions, and business information management. System Soft Technologies combines business domain knowledge with industry-specific practices and methodologies to offer unique solutions, and enable clients to compete with global standards. We find a client-centric approach and a passion for excellence is key in distinguishing ourselves from our competition and in accompanying you on your journey.

Qualifications and Responsibilities for Power BI:

Dashboard Design & Development

Design and develop high-impact, visually compelling Power BI dashboards tailored for executive-level consumption.
Translate complex financial and operational data into intuitive visuals and metrics aligned with MBR/QBR processes.
Build drill-down capabilities to allow executives to explore metric drivers by region, product line, or business unit.
Data Modeling & Integration

Connect to diverse data sources including SAP (FI/CO), Snowflake, AWS S3, Excel, and SQL Server to create reliable, refreshable data models.
Develop and optimize DAX queries and data transformations (Power Query/M) for high performance and scalability.
Ensure semantic models are aligned with business definitions for KPIs and metrics.
Business Stakeholder Engagement

Ensure data security, access control, and compliance with internal governance standards.
Maintain comprehensive documentation on dashboard logic, data sources, and business rules.
Implement CI/CD processes and version control for Power BI artifacts.
Key Metrics Supported:

Required:

5+ years of experience in BI development with a strong focus on Power BI.
3+ years of experience in financial analysis, FP&A, or working with finance-related KPIs.
Expertise in DAX, Power Query (M), and building complex data models.
Proficiency in SQL and integrating cloud data sources (e.g., Snowflake, AWS, Azure).
Experience in creating dashboards tailored to C-level audiences with strong UX/visualization design principles.
Demonstrated ability to work with large, complex datasets and translate them into executive-level insights.
Preferred:

Experience working in manufacturing, industrial, or distribution industries.
Familiarity with SAP data structures, particularly FI/CO, MM, and SD modules.
Background in data warehousing and ETL design.
Exposure to corporate finance concepts such as P&L, balance sheet, and cash flow analysis.