Power BI Analyst II

Job overview

Analysis and business intelligence

• Analyze sales, manufacturing, engineering, financial, and supply-chain data to identify trends and opportunities.
• Perform root-cause analysis of delivery delays, cost overruns, profitability losses, and other operational issues.
• Support local KPI development for forecasting, backlog planning, and project dashboards; recommend improvements to throughput, margins, utilization, and on-time delivery.
• Develop standardized KPI dashboards, define reporting needs with cross-functional stakeholders, and enable self-service BI through scalable datasets and reports.
• Ensure consistent global metrics and translate complex data into clear business narratives and executive insights.
• Support strategic initiatives with analysis.

Power BI and data integration

• Build Power BI dashboards for manufacturing performance, project tracking, financial reporting, sales, and backlog.
• Build and maintain data models and semantic layers; develop DAX calculations and functional unit KPIs.
• Use Power Query to transform and prepare data; optimize large datasets and enterprise reporting.
• Integrate data from ERP, manufacturing, service, field, SQL, cloud, SharePoint, and Excel sources.
• Collaborate with IT and local teams to improve data pipelines and ensure accurate, consistent, reliable reporting.

Governance and quality

• Implement data governance standards and security controls, including row-level security.
• Document data models, KPIs, and reporting logic; ensure compliance with internal data standards and audit requirements.

Required qualifications

• Bachelor's degree in data analytics, engineering, information systems, or a related field.
• Five or more years of experience in Power BI, data analysis, or business intelligence.
• Strong proficiency in Power BI Desktop and Service, DAX, and Power Query; strong SQL skills.
• Experience analyzing operational or manufacturing data, sales data, and financial data.
• Strong understanding of business processes, KPIs, and performance metrics; ability to work with technical and non-technical stakeholders.

Preferred qualifications

• Manufacturing, energy, or industrial-environment experience; familiarity with ERP systems.
• Experience with Azure, Snowflake, or cloud data platforms; knowledge of Python or R for advanced analytics.
• Experience with data warehousing and ETL tools; Microsoft Power BI certification (PL-300).

Workplace and safety

• The position is on-site.
• New hires must complete safety training. Job-specific training may be required, and employees must wear provided personal protective equipment when needed.

Compensation

• The posting lists a salary range of $55,000 to $70,000 but does not specify a pay period.

About the company