Job Description
Data Analyst
Work Arrangement
This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI three times per week, at minimum.
The Role
The Infrastructure & Corporate Citizenship (ICC) team is seeking highly motivated and qualified candidates for the position of Data Analyst. This is an exciting opportunity to join a dynamic and diverse team of experienced data solutions engineers, data scientists, and analysts who design, develop, and deploy data‑driven solutions across a broad technological landscape.
The team plays a critical role in driving analytics, insights strategy, data pipeline development, software integrations, and project-based solutions that support and advance ICC’s strategic objectives. In this role, you will focus on turning data into clear, actionable insights through analysis, reporting, and visualization, and you will partner closely with data scientists and solutions engineers on more advanced analytics and automation work.
This position reports to the Manager, Data Analytics and Solutions Engineering.
What You’ll Do
- Analyze large volumes of diverse operational, financial, and asset-related data to identify trends, patterns, and anomalies that inform business decisions and ICC strategies.
- Build and maintain dashboards, reports, and self-service analytics solutions (e.g., in Power BI or Tableau) that provide clear visibility into key performance indicators and metrics for ICC stakeholders.
- Perform data profiling, cleansing, and validation to ensure data quality and reliability across structured and semi‑structured sources.
- Collaborate with solutions engineers to define data requirements and support the development and enhancement of data pipelines feeding ICC reporting and analytics solutions.
- Translate business questions from facilities, operations, construction, corporate citizenship and real estate partners into analytical problems, and deliver structured analyses and recommendations to support decision‑making.
- Present complex findings in a clear, concise way using data visualization techniques and storytelling tailored to business and technical audiences, including ICC leadership.
- Document data definitions, metrics, and reporting logic to promote consistency, reuse, and a shared understanding of ICC’s data assets.
- Support continuous improvement by identifying opportunities to streamline reporting processes, automate recurring analyses, and enhance existing dashboards and data products.
- Partner with data scientists on exploratory analysis, feature development, and measurement plans for more advanced predictive and prescriptive models; contribute to basic statistical analysis where appropriate.
- Collaborate with professional