Senior Data Analytics​/Power BI Developer

Senior Data Analytics / Power BI Developer

This range is provided by AGSE. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

As a Power BI Developer / Senior Data Analytics professional, you will be responsible for transforming complex datasets into actionable insights that drive strategic decision-making across the organization. You will partner closely with Operations, Finance, Engineering, Sales, and Executive Leadership to design robust dashboards, automate reporting pipelines, and elevate the company’s business intelligence capabilities.

• Business Intelligence Development – Design, develop, and maintain interactive Power BI dashboards, reports, and data models optimized for performance and usability.
• Data Modeling & Architecture – Build efficient semantic models, create relationships, implement row-level security, and apply DAX to support advanced analytics.
• Data Integration – Extract, transform, and load (ETL) datasets from ERP, CRM, SaaS platforms, SQL databases, APIs, and flat files using Power Query, SQL, and automation tools.
• Analytics & Insights – Conduct deep-dive analyses, identify key trends, forecast outcomes, and translate business questions into data-driven recommendations.
• Process Automation – Automate manual reporting processes through Power BI, Power Automate, and scheduled data refresh strategies.
• Cross-Functional Collaboration – Work directly with Operations, Supply Chain, Engineering, Manufacturing, and Executive stakeholders to define KPIs, requirements, and success metrics.
• Data Governance & Quality – Ensure data accuracy, consistency, and compliance through validation, documentation, and best-practice governance standards.
• Performance Optimization – Troubleshoot and optimize large data models, complex DAX expressions, and slow-performing reports.
• User Training & Adoption – Provide training, documentation, and best-practice guidance to end-users and departmental leaders to increase BI adoption.
• Project Delivery – Lead analytics initiatives from concept to deployment, ensuring on-time delivery and alignment with business objectives.
• Advanced Reporting – Create paginated reports, drill-through views, comparative dashboards, and automated KPI scorecards.
• ERP Analytics Support – Partner with the ERP team to extract and analyze production, inventory, purchasing, and financial datasets.
• Data Strategy Support – Help define long‑term BI strategy, tool standardization, and company‑wide reporting frameworks.
• Stakeholder Communication – Present insights, trends, and recommendations to leadership in a clear and compelling manner.
• Documentation & Compliance – Develop SOPs, data dictionaries, architectural diagrams, and reporting standards for cross‑team consumption.

• Bachelor’s degree in Data Analytics, Information Systems, Computer Science, or related field (or equivalent experience).
• Expert Level at Power BI. Minimum 3+ years of experience developing Power BI dashboards and analytics solutions.
• Strong proficiency with Power BI Desktop, Power BI Service, DAX, and Power Query.
• Experience with data modeling, relational databases, and SQL query development.
• Demonstrated ability to work with large datasets and complex, multi-source data pipelines.
• Strong analytical skills with the ability to interpret business needs and translate them into technical solutions.
• Experience with KPI creation, forecasting, trend analysis, and performance reporting.
• Excellent communication skills with the ability to explain complex analytical concepts to non-technical stakeholders.

• Experience with Azure, SQL Server, Synapse, or Data Lake environments.
• Experience with Python, R, or other scripting languages for analytics and automation.
• Familiarity with ERP systems such as Global Shop Solutions (GSS), Epicor Kinetic or similar manufacturing ERPs.
• Experience with Power Automate and the Microsoft 365 ecosystem.
• Experience supporting manufacturing, engineering, or operations environments.
• Knowledge of data governance, MDM, and BI security standards.
• Experience with predictive analytics, statistical modeling, or machine…