What are the responsibilities and job description for the Business Intelligence Data Analyst position at Nenni and Associates?
Business Intelligence Analyst – Construction Industry
We are unable to provide relocation assistance or sponsorship at this time.
Key Responsibilities:
Business Intelligence & Data Management:
- Collect, integrate, and manage large datasets from multiple sources, including financial systems, project management software, and on-site reports.
- Ensure data accuracy, consistency, and integrity across all platforms.
- Monitor and clean data to eliminate inaccuracies and maintain reliability for decision-making.
Data Analytics & Reporting:
- Analyze project performance metrics, financial data, workforce utilization, and union payroll trends to drive strategic insights.
- Develop and maintain interactive dashboards and reports to track key performance indicators (KPIs) such as budget adherence, schedule efficiency, and resource productivity.
- Provide actionable recommendations to project managers and senior leadership to optimize operations and improve profitability.
Forecasting & Predictive Analytics:
- Use historical data to forecast project costs, resource needs, and potential scheduling risks.
- Develop predictive models to identify trends, potential delays, and cost overruns.
- Support risk management by providing data-driven insights and recommendations.
Collaboration & Stakeholder Support:
- Partner with project managers, finance teams, and senior executives to translate data into meaningful business strategies.
- Provide training and guidance on business intelligence tools and best practices.
- Effectively communicate complex data insights in a clear, actionable manner tailored to various stakeholders.
Process Optimization & Strategic Improvements:
- Identify opportunities to enhance data collection, reporting, and analysis workflows.
- Implement business intelligence strategies to improve efficiency, reduce costs, and support data-driven decision-making.
- Leverage automation and advanced analytics to streamline processes and enhance operational performance.
Required Qualifications:
Education:
- Bachelor’s degree in Business Intelligence, Data Science, Economics, Construction Management, or a related field.
Experience:
- Minimum 3 years of experience in business intelligence, data analytics, or performance management within the construction industry.
- Strong understanding of construction project management principles, including budgeting, scheduling, and resource allocation.
- Experience with union payroll processes, including compliance, reporting, and data analysis.
Technical Skills:
- Proficiency in business intelligence tools such as Power BI, Tableau, or similar data visualization platforms.
- Experience with project management software (e.g., Procore, Buildertrend, Buildops).
- Familiarity with predictive modeling and statistical analysis tools (e.g., Python, R) is a plus.
Communication & Collaboration:
- Strong written and verbal communication skills, with the ability to convey complex data insights to both technical and non-technical audiences.
- Experience working in cross-functional teams to drive data-driven decision-making.
