The Stellar Group-posted 4 days ago
Full-time • Mid Level
Hybrid • Jacksonville, FL

The Data Analyst is responsible for gathering, analyzing, and interpreting data related to construction quality assurance processes. This position plays a vital role in improving project outcomes by delivering actionable insights that help ensure construction standards, regulatory requirements, and company policies are consistently upheld. Additionally, the Data Analyst interprets complex data sets to support informed business decision-making and strategic planning.

  • Manage data from various sources including project documentation, inspections, and observations.
  • Analyze data to identify trends, patterns, and areas for improvement in quality and compliance.
  • Develop and maintain dashboards, reports, and data visualization tools to communicate findings
  • Collaborate with Quality and site managers to interpret data and recommend corrective actions.
  • Monitor key performance indicators (KPIs) related to quality, safety, and regulatory compliance.
  • Support the implementation of improvement initiatives by providing data-driven recommendations.
  • Ensure data integrity, accuracy, and security in all reporting activities.
  • Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends.
  • Collaborate with business units to understand data needs and deliver actionable insights.
  • Ensure data quality and accuracy through validation and cleansing processes.
  • Support the adoption of data-driven decision-making across the organization.
  • Stay current with industry trends in analytics, data visualization, and reporting tools.
  • Document data processes and provide training to business users as needed.
  • Implement internal process improvements.
  • Drive the adoption of new data technologies and tools.
  • Complete other responsibilities as assigned.
  • Strong analytical and problem-solving skills to identify and resolve data engineering challenges.
  • Proficiency in programming languages such as Python, SQL, or Scala.
  • Experience with data pipeline and workflow management tools.
  • Familiarity with cloud data platforms.
  • Excellent verbal and written communication skills for effective collaboration and presentation of findings.
  • Keen attention to detail to ensure data accuracy and reliability.
  • Ability to manage multiple tasks simultaneously.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Business, or a related field.
  • A minimum of 3 years' experience in a similar role within analytics, data management, or business intelligence is highly desirable.
  • Advanced knowledge of database technologies, data analysis, visualization and data integration tools.
  • Ability to sit, stand, and walk for long periods of time.
  • Ability to use a computer, phone, printer, scanner, and other office equipment.
  • Visual acuity for detailed work and computer use
  • Ability to lift, carry, and move up to 25 pounds of files, documents, and materials.
  • Advanced certifications in analytics, data visualization, or business intelligence are a plus.
  • Competitive pay based on experience
  • Remote & hybrid work options for many positions
  • Paid Time Off - accrue 15 days (120 hours) within first year of service
  • Paid holidays
  • Medical, dental, and vision insurance options
  • Tax-advantaged accounts (HSA, FSA, Dependent Care FSA)
  • Company-paid life and disability insurance
  • 401(k) - company match with immediate vesting
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