Operations Data Analyst

Data Analyst

Pay Range: $77.14hr - $82.14hr

Requirement/Must Have:

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience).
• Demonstrated experience building and maintaining dashboards in Power BI.
• Strong SQL skills and experience working with structured datasets.
• Excellent written and verbal communication skills, with a proven ability to explain complex data clearly.
• Strong ability to interpret data, identify trends, and generate actionable insights.
• Ability to clearly communicate complex data findings to both technical and non-technical stakeholders.
• Experience working in cross-functional teams and translating business needs into data-driven solutions.

Responsibilities:

• Analyze business data to identify trends, patterns, risks, and opportunities for operational and strategic improvements.
• Demonstrate broad expertise in data processing and analysis, applying analytical techniques to a wide range of business questions.
• Respond to ad hoc and recurring data requests with accuracy, clarity, and timeliness.
• Collect, clean, validate, and integrate data from multiple sources to ensure accuracy and consistency.
• Extract and analyze data from SAP to support planning, forecasting, and decision-making.
• Manage data extraction and transfer from databases to support operational analysis across teams.
• Create automated data routines and processes to ensure efficient, repeatable reporting and data delivery.
• Develop and maintain dashboards, reports, and visualizations using Power BI to clearly communicate insights and performance metrics.
• Utilize Foundry for advanced analytics, data modeling, and analytical workflows.
• Apply GIS tools for spatial data analysis and mapping to support location-based decision-making.
• Leverage Copperleaf for asset investment planning, lifecycle cost analysis, and value-based decision support.
• Clearly communicate analytical findings, assumptions, and recommendations to diverse audiences.
• Translate complex data into concise, compelling narratives that support informed decision-making.
• Collaborate with cross-functional teams to understand business needs, identify challenges, and deliver data-driven solutions.
• Act as a trusted partner to stakeholders by helping shape analytical questions and clarify insights.

Nice to Have:

• Hands-on experience using Foundry for data analysis, data modeling, or workflows.
• Experience with Copperleaf.

Skills:

• Data analytics (Python, Excel, conduct data queries as needed).
• Power BI (advanced skills, ability to create executive boards and day-to-day dashboards for business analytics).
• SAP.
• Microsoft Excel and Power Query as needed.