Data Analyst

STV • Orlando, FL

11h • Onsite

About The Position

STV is seeking a Data Analyst to join our Digital Solutions Analytics division, supporting design and construction data analytics and integration initiatives within the AEC industry. This role is based at our client’s office in Orlando (preferred) or Pompano Beach, Florida and requires strong collaboration with both internal teams and external stakeholders. Responsibilities include: Transform project data into actionable insights through advanced analytics and visualization techniques. Develop comprehensive dashboards and reports using Power BI 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 or R to improve efficiency in reporting and analytics. Maintain data integrity by identifying and resolving inconsistencies across project management information systems (PMIS). Support the integration of multiple data sources within PMIS platforms to create unified reporting solutions. Create visualizations that clearly communicate project performance to technical and non-technical stakeholders. Document analytical methodologies for knowledge transfer and reproducibility. Engage directly with clients to understand needs and respond effectively to impromptu reporting and analysis requests with minimal supervision. Requirements: Bachelor’s degree in Analytics, Computer Science, Information Systems, Engineering, or related field, or equivalent experience. 2+ years of experience in data analysis or business intelligence, preferably in project-driven environments. Advanced proficiency in Power BI, including dashboard design and interactive reporting. Strong experience with Python or R for data processing and automation. Working knowledge of SQL for querying and data manipulation. Experience with Project Management Information Systems (PMIS). Demonstrated ability to translate complex datasets into compelling narratives and present insights effectively. Strong problem-solving skills with experience handling large, multi-source datasets. Ability to work independently in a client-facing environment with minimal supervision. Preferred but not Required: Master’s or PhD in Analytics, Computer Science, Engineering, or related STEM field. Experience supporting 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 processing structured and unstructured data. Proficiency with Power BI Report Builder. Familiarity with geospatial analytics and mapping visualization techniques. Ability to train machine learning models to deliver predictive and prescriptive insight Compensation Range: $45,113.63 - $60,151.50 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 (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.

Requirements

• Bachelor’s degree in Analytics, Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
• 2+ years of experience in data analysis or business intelligence, preferably in project-driven environments.
• Advanced proficiency in Power BI, including dashboard design and interactive reporting.
• Strong experience with Python or R for data processing and automation.
• Working knowledge of SQL for querying and data manipulation.
• Experience with Project Management Information Systems (PMIS).
• Demonstrated ability to translate complex datasets into compelling narratives and present insights effectively.
• Strong problem-solving skills with experience handling large, multi-source datasets.
• Ability to work independently in a client-facing environment with minimal supervision.

Nice To Haves

• Master’s or PhD in Analytics, Computer Science, Engineering, or related STEM field.
• Experience supporting 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 processing structured and unstructured data.
• Proficiency with Power BI Report Builder.
• Familiarity with geospatial analytics and mapping visualization techniques.
• Ability to train machine learning models to deliver predictive and prescriptive insight

Responsibilities

• Transform project data into actionable insights through advanced analytics and visualization techniques.
• Develop comprehensive dashboards and reports using Power BI 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 or R to improve efficiency in reporting and analytics.
• Maintain data integrity by identifying and resolving inconsistencies across project management information systems (PMIS).
• Support the integration of multiple data sources within PMIS platforms to create unified reporting solutions.
• Create visualizations that clearly communicate project performance to technical and non-technical stakeholders.
• Document analytical methodologies for knowledge transfer and reproducibility.
• Engage directly with clients to understand needs and respond effectively to impromptu reporting and analysis requests with minimal supervision.

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 (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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level