Data Analyst

About the Role

Key Responsibilities

• Collaborate with stakeholders to align reporting and analytics with business priorities, leveraging insights from multiple data platforms.
• Participate in the creation and continuous enhancement of dashboards and data presentation methodology, employing innovative data visualization techniques for impactful findings using Power BI, Excel, Smartsheet, and other data reporting tools.
• Aggregate and analyze data from diverse sources, ensuring comprehensive insights and synthesis across all organizational systems.
• Detect inconsistencies and incorrect data, then locate and rectify the issues.
• Oversee the creation and delivery of weekly and monthly reports to internal and external stakeholders, including executives and client representatives.
• Serve as the subject matter expert on data, reporting, and analytics tools, keeping abreast of technological advancements and industry trends.
• Educate and guide cross-functional teams on leveraging reporting tools effectively, aligning with organizational and project goals.
• Foster collaboration across departments to develop data products and tools, defining success metrics and delivering presentations that drive actionable insights and support strategic decision-making.
• Serve as the reporting liaison for new data initiatives, coordinating with cross-functional teams while developing and refining Power BI data models and processes.
• Develop and document workflows, procedures, and best practices to facilitate knowledge and data sharing and to ensure consistency in data collection, input, and reporting.

Requirements

• Experience using Power BI, Excel, Smartsheet, and other data analytic tools.
• Proven analytics skills, including data mining, evaluation, and visualization.
• Strong Excel or Smartsheet skills, with an aptitude for learning other analytics tools.
• Experience with Python programming and creating automation, especially within Power BI, preferred.
• Ability to independently lead data analysis resulting in digestible data visualization and modeling.
• Ability to dig into data and decipher how it can be used to create operational efficiencies and support data-based decisions.
• Ability to communicate complex information to a range of data-literate audiences.
• Technical writing experience in relevant areas, including queries, reports, and presentations.
• Experience with data model design techniques.
• Practical experience in statistical analysis through the use of statistical packages, including Excel, SPSS, and SAS.
• Bachelor's degree in Information Systems, Data Analytics, Information Science/Management, or a related field, or equivalent work experience.
• Five or more years of professional data analysis and BI reporting experience, including statistical analysis preferred.

Nice to Have

• Previous experience in the construction industry.
• Familiarity with construction management software, such as Procore.
• Experience with statistical packages like SPSS and SAS.
• Experience with data model design techniques.
• Experience with creating automation in Python.

Qualifications

• Bachelor's degree in Information Systems, Data Analytics, Information Science/Management, or a related field, or equivalent work experience.
• Five or more years of professional data analysis and BI reporting experience, including statistical analysis.

Benefits & Perks

• Competitive pay and advancement opportunities.
• Ongoing professional training and development.
• Comprehensive benefits—including free primary care for you and your family through dedicated clinics, health insurance, paid time off, and a generous retirement plan.