Temporary Construction Data Analytics Jobs in Florida

Who We Are?
Vinci Construction USA isa full-service asphalt and construction company, capable of handling projects of every size and scope. Our list of services includes roadway construction, railway and bridge construction, asphalt manufacturing and paving, sitework and earthworks development. Every year, we plan and build hundreds of public and privately funded projects safely, successfully, and with an innovative approach to give our clients the greatest possible value for their investment. Vinci Construction USA is a $1.4B company with 3500 employees with (3) delegations including Hubbard Construction, Blythe Construction and Eurovia Atlantic Coast. Vinci Construction USA is part of Vinci Construction(France) which operates in 15 countries worldwide and represents $10.4B in revenue.
The Position
The Data Analytics Supervisor position at VINCI Construction is a pivotal role that involves collecting, analyzing, and interpreting data to support the company's construction projects. The successful candidate will collaborate closely with various departments, including project management, finance, and operation. Understanding business needs, gathering requirements, and creating data models and dashboards in Power BI. This role requires the ability to gather data from multiple sources, including SAP ECC, SQL Server databases, Excel spreadsheets, Microsoft Fabric pipelines, Azure databases, and third-party applications databases. Additionally, the Data Analytics Supervisor will support company users through a ticketing system, ensuring timely resolution of data-related issues and requests.
A strong knowledge of creating data models and applying business rules to these models is essential. The role also requires an advanced level of proficiency in DAX (Data Analysis Expressions) to create complex calculations and custom measures within Power BI. The Data Analytics Supervisor will be responsible for developing and maintaining dashboards, reports, and visualizations using Power BI and Microsoft Fabric, ensuring that data insights are effectively communicated to stakeholders. The Data Analytics Supervisor must also be proficient in working on Power BI Service, providing access to reports, mapping gateways, managing data sources, creating connections to databases, and scheduling refreshes.
Finally, the Data Analytics Supervisor must be capable of creating detailed documentation to support data models, reports, and processes, ensuring that business rules and methodologies are clearly communicated and accessible. This position demands strong analytical skills, attention to detail, and the ability to present complex data in a clear and actionable manner, making it essential for enhancing project efficiency and supporting continuous improvement initiatives within the company.
Key Duties

• Leadership:Supervise and lead a team of Data Analysts conducting team meetings, mentoring and 1x1s. Managing the team's work and ensuring your team is completing the work they are assigned. Along with coaching and developing the team members.
• Collect and Analyze Data:Gather data from various sources, including SAP ECC, SQL Server databases, Excel spreadsheets, Microsoft Fabric pipelines, Azure databases, and third-party applications databases, to identify trends, patterns, and anomalies.
• Develop Dashboards and Reports: Create and maintain interactive dashboards, reports, and visualizations using Power BI to provide actionable insights to stakeholders.
• Support Users: Assist company users through a ticketing system, addressing data-related issues, requests, and ensuring effective use of data tools and resources.
• Power BI Service Management: Manage Power BI Service by providing access to reports, mapping gateways, managing data sources, creating database connections, and scheduling refreshes.
• Data Modeling: Develop and refine data models, applying business rules to ensure accurate representation of business processes within the models.
• DAX Calculations: Utilize intermediate-level DAX (Data Analysis Expressions) to create complex calculations, measures, and custom queries within Power BI.
• Documentation: Create and maintain detailed documentation for data models, reports, dashboards, and processes to ensure clarity and accessibility for stakeholders.
• Collaboration: Work closely with project management, finance, human resources, accounting, and operations teams to understand business needs, gather requirements, and deliver data-driven solutions that support project goals.
• Continuous Improvement: Contribute to ongoing process improvements by analyzing current workflows and recommending data-driven enhancements to optimize project outcomes.

Education, Experience and Skills.

• 3+ Years of leadership experience
• Minimum 5+ years of relevant experience as a Data Analyst
• 5+ Years of PowerBI and PowerQuery experience
• Advanced excel skills
• Bachelor's degree required or equivalent experience
• Solid experience working with vendors and acting as part of a project team
• Progressive, relevant responsibility throughout your career
• Excellent planning and self-directed time management skills
• Strong interpersonal, organizational and customer service focus

Qualification Requirements

• General. To perform this job successfully, an individual must be able to perform each key duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Physical Demands. The following physical demands are representative of those that must be met by a Data Analytics Supervisor, to successfully perform the essential functions of this job.

• Frequent ability to sit for prolonged periods of time;
• Frequent ability to talk and hear, both in person and by telephone;
• Frequent ability to operate standard office equipment, using hand and arm dexterity;
• Frequent ability to navigate through office environment, including periodic use of stairs and/or elevator, as needed;
• Infrequent ability to lift general office documents and materials, up to 10 pounds;
• Frequent vision abilities required by this job include close vision, distance vision, depth perception, color vision, and the ability to adjust focus.

Work Environment. The work environment characteristics described below are representative of those that a Data Analytics Supervisor encounters while performing the essential functions of this job.

• Work generally is performed in an office environment, although periodic visits to construction sites and manufacturing facilities may be required.
• Noise level in the typical office work environment is quiet.

Company Benefits

• Medical & Vision Insurance
• Dental Insurance
• Basic Life and AD&D Insurance
• Short Term Disability
• Voluntary Term Life
• Long Term Disability
• Sick Leave
• Paid Vacation & Holiday Pay
• 401(k) Plan
• Additional Benefits including wellness coaching, etc.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. We promote a Drug-Free Workplace.
Blythe Construction, Inc. - Hubbard Construction Company - Northeast Paving - Sunmount Paving - Virginia Paving Company, are hereby referred to as VINCI CONSTRUCTION USAAccessibility: If you need an accommodation as part of the employment process please contact Human Resources atBlythe Construction, Inc.: Phone: 704-375-8474Hubbard Construction Company: Phone: 407-645-5500Eurovia Atlantic Coast, LLC:Phone: 704-375-8474
VINCI CONSTRUCTION USA is an Equal Opportunity Employer.VINCI CONSTRUCTION USA is committed to providing a fair and equal employment opportunity workplace. All hiring and promotional decisions are made without regard to race, color, religion, sex (including pregnancy), genetic information, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other status that is protected by federal, state, or local law.
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