Infrastructure Analyst

STV•Orlando, FL

1d•$71,982 - $82,265•Hybrid

About The Position

STV is seeking an Infrastructure Data Analyst for our Digital Solutions Analytics division. The candidate will engage both internally and externally to support best practices for design and construction data analytics and integration for the AEC industry. This role offers an opportunity for experienced candidates to work alongside our team, learn, and contribute to meaningful infrastructure projects.

Requirements

Minimum of 3+ years of experience in data analysis and business intelligence, preferably in project environments
Strong proficiency in PowerBI for creating advanced dashboards and interactive visualizations
Demonstrated experience with Python or R for data processing, analysis, and workflow automation
Experience with SQL for data extraction and manipulation from various database systems
Knowledge of Project Management Information Systems (PMIS)
Exceptional skill in transforming complex data into compelling narratives, with proven ability to present insights at conferences and stakeholder meetings
Strong problem-solving skills with experience handling large datasets from multiple sources
Engage directly with clients to understand their needs and respond effectively to impromptu requests for data analysis and reporting with minimal supervision

Nice To Haves

Masters/PhD degree in Analytics, Computer Science, Information Technology, Engineering, or related STEM field
Experience with transportation and/or infrastructure projects and programs
Knowledge of data governance and reporting compliance standards
Hands-on experience integrating multiple data sources into unified reporting solutions
Experience with data processing of both structured and unstructured information
Demonstrated ability to work independently while collaborating effectively with diverse teams
Proficiency with PowerBI Report Builder for creating custom reporting solutions
Familiarity with geospatial analytics and mapping visualization techniques
Ability to train various types of machine learning models based on client needs to deliver predictive and prescriptive outcomes

Responsibilities

Transform project data into actionable insights through advanced analytics and visualization techniques
Develop comprehensive dashboards and reports using PowerBI to communicate key performance metrics effectively
Collaborate with cross-functional teams to identify data-driven opportunities and establish best practices
Automate data workflows using Python/R to improve efficiency in reporting and analytics
Maintain data integrity by identifying and resolving inconsistencies across project management information systems
Support the integration of multiple data sources within PMIS platforms to create unified reporting solutions
Create visualizations that tell compelling stories about project performance for both technical and non-technical stakeholders
Document analytical methodologies for knowledge transfer and reproducibility

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 (starting at 16 days)
Paid Holidays (9 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