Infrastructure Analyst

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.

Responsibilities
As an Infrastructure Data Analyst at STV, you will:

• 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

Required Experience
To stand out in this role, you should possess:

• 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

Preferred Qualifications

• 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

Compensation Range:

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 (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

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.

Not sure this role is the perfect match? We encourage you to apply if STV's work and values resonate with you. We know great candidates don't always meet every qualification, and research shows women and people of color are less likely to apply unless they do. At STV, we believe strong talent comes from a wide range of backgrounds, and your skills and experience may align with this or another opportunity as we continue to grow.