Data Analyst
International Parkway, Lake Mary, Florida, United States
Applications have closed
STV
STV advises, plans, designs, engineers and delivers the infrastructure that powers local economies, including transportation, buildings and water.STV is seeking a Data Analyst to support a $3-$5 billion dollar project in managing and analyzing project data to enhance decision-making for high-quality infrastructure projects. This role will be integral in developing data-driven insights, optimizing reporting processes, and ensuring data integrity across project management systems. The Data Analyst will receive structured onboarding and mentorship to progressively build expertise in data analytics, visualization, and process automation within the project.
Responsibilities:
Collect, analyze, and interpret project data to support decision-making and performance tracking.
Develop dashboards, reports, and visualizations to communicate key insights effectively.
Maintain data integrity by identifying and resolving inconsistencies or discrepancies.
Automate data workflows to improve efficiency in reporting and analytics.
Collaborate with project teams to establish data-driven best practices and performance metrics.
Support integration of data sources across project management information systems (PMIS).
Ensure compliance with reporting standards and data governance policies.
Provide training and support to stakeholders on data tools and reporting systems.
Qualifications:
Bachelor’s degree in data analytics, information systems, engineering, business, or a related field.
3+ years of experience in data analysis, reporting, or business intelligence.
Proficiency in data visualization tools such as Power BI, Tableau, or similar platforms.
Strong analytical skills with experience in SQL, Python, or other data-processing languages.
Knowledge of PMIS platforms such as e-Builder, Kahua, or Primavera Unifier is preferred.
Experience with data management, reporting requirements, or transportation projects is a plus.
Ability to communicate complex data insights to both technical and non-technical audiences.
Strong problem-solving and organizational skills with the ability to manage multiple tasks effectively.
Why Join STV?
Work alongside top industry professionals on high-impact infrastructure projects.
Hands-on experience with digital operations, procedures, and processes.
A collaborative environment that fosters professional growth and career advancement.
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At STV, we are fully committed to expanding our culture of diversity and inclusion, one that will reflect the clients we serve and the communities we work in, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description we encourage you to apply anyways. You may be just the right candidate for this or other roles.
STV offers the following benefits • Health insurance, including an option with a Health Savings Account • Dental insurance • Vision insurance • Flexible Spending Accounts (Healthcare, Dependent Care and Transit and Parking where applicable) • Disability insurance • Life Insurance and Accidental Death & Dismemberment • 401(k) Plan • Retirement Counseling • Employee Assistance Program • Paid Time Off (16 days) • Paid Holidays (8 days) • Back-Up Dependent Care (up to 10 days per year) • Parental Leave (up to 80 hours) • Continuing Education Program • Professional Licensure and Society Memberships
STV is committed to paying all of its employees in a fair, equitable, and transparent manner. The listed pay range is STV’s good-faith salary estimate for this position. Please note that the final salary offered for this position may be outside of this published range based on many factors, including but not limited to geography, education, experience, and/or certifications.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Data analysis Data Analytics Data governance Data management Data visualization Engineering Power BI Python SQL Tableau
Perks/benefits: Career development Flex hours Flexible spending account Flex vacation Health care Insurance Parental leave
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