Data Analyst

Data Driven Enterprises seeks a Data Analyst to transform questions about programs, policies, and student outcomes into rigorous analyses and actionable insights for clients. The role emphasizes data quality, clear communication to diverse audiences, and responsible use of AI to improve workflows. This hybrid position is based in Northglenn, Colorado.

Responsibilities

• Analyze, interpret, and report findings from datasets of varying size and complexity using appropriate statistical software and programming tools.
• Clean, validate, and prepare datasets for analysis.
• Produce recurring reports and analyses while identifying opportunities to modernize, streamline, and automate existing processes.
• Document analytical methods, data management procedures, and quality assurance processes.
• Determine the most appropriate analytical methods based on the research question and available data.
• Conduct a range of statistical analyses, including regression, correlation, matched comparison studies, predictive modeling, and significance testing.
• Create clear tables, charts, dashboards, and other data visualizations.
• Prepare professional reports and presentations that communicate findings to technical and non-technical audiences.
• Develop and maintain data protocols to ensure accuracy, consistency, and reproducibility.
• Perform data quality checks and validation procedures to ensure accuracy and integrity of analyses.
• Collaborate with clients and project staff to understand research questions and convey findings in practical terms.
• Manage multiple projects and respond to competing priorities.
• Explore opportunities to improve efficiency through automation and responsible use of AI.

Requirements

• Bachelor's or master's degree in Statistics, Data Science, Mathematics, Economics, Research Methods, Industrial/Organizational Psychology, Educational Research, or a related quantitative field.
• Two or more years of experience conducting statistical analyses, preferably in education, social science, public policy, or a related field.
• Demonstrated experience cleaning, validating, and managing large, complex datasets.
• Ability to independently determine and apply appropriate statistical methods to answer research questions.
• Proficiency in SAS, R, SPSS, or another statistical programming language.
• Advanced Excel skills, including formulas, pivot tables, macros, and VBA.
• Experience with Python is desirable.
• Ability to communicate technical findings to non-technical audiences.
• Strong organizational skills with the ability to manage multiple projects while maintaining exceptional attention to detail.
• Experience preparing professional reports and data visualizations for a variety of audiences is desirable.
• Commitment to data quality, accuracy, and reproducible analyses.
• Ability to contribute to the entrepreneurial spirit of the office.

Technologies

• SAS
• R
• SPSS
• Python
• Advanced Excel

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid holidays
• Paid sick time
• Paid time off

Your Day

• Analyze, interpret, and report findings from datasets of varying size and complexity using appropriate statistical software and programming tools.
• Clean, validate, and prepare datasets for analysis.
• Produce recurring reports and analyses while identifying opportunities to modernize, streamline, and automate existing processes.
• Document analytical methods, data management procedures, and quality assurance processes.
• Determine the most appropriate analytical methods based on the research question and available data.
• Conduct a range of statistical analyses, including regression, correlation, matched comparison studies, predictive modeling, and significance testing.
• Create clear tables, charts, dashboards, and other data visualizations.
• Prepare professional reports and presentations that communicate findings to technical and non-technical audiences.
• Develop and maintain data protocols that ensure accuracy, consistency, and reproducibility.
• Perform data quality checks and validation procedures to ensure the accuracy and integrity of analyses.
• Collaborate with clients and project staff to understand research questions and communicate findings in practical terms.
• Manage multiple projects and respond to competing priorities.
• Explore opportunities to improve efficiency through automation and responsible use of AI.

Important to Know

• Paid health insurance
• 401K
• Paid holidays and earned vacation and sick time
• Salary between 70,000 and 90,000 USD per year depending on experience
• Remote or hybrid work options are available

Your Next Move

Qualified candidates should email their resume and cover letter. To demonstrate attention to detail, include the words I PAY ATTENTION at the top of your cover letter.

Job Type

Job Type: Full-time

Pay

Pay: USD 70,000 - 95,000 per year

Education

Education: Bachelor's degree or master's degree in a related quantitative field; Bachelor's preferred.

Experience

• Data analysis skills: 1 year (Preferred)
• SAS programming: 1 year (Preferred)
• R programming: 1 year (Preferred)

Work Location

Work Location: Hybrid remote in Northglenn, CO 80234