Description
Data Driven Enterprises (DDE) is a research, evaluation, and technical assistance organization that partners with schools, districts, and state departments of education to improve educational outcomes. We provide data analytics, program evaluation, and professional development that help educators make informed decisions and continuously improve their programs and services.
Our mission is to deliver customized, rigorous, and meaningful research and evaluation services that answer our clients' most important questions and lead to practical, actionable solutions.
At DDE, we believe data should do more than describe what happened—it should help shape what happens next. We're researchers, analysts, problem-solvers, and innovators who are passionate about helping educators improve outcomes for students. Our guiding philosophy is simple: If you can measure it, you can improve it.
About the Job
We are looking for a data analyst who enjoys turning complex questions into meaningful answers. At DDE, our clients do not come to us asking for a regression or a t-test. They come to us with questions about programs, policies, and student outcomes. Your job is to determine the best analytical approach, conduct rigorous analyses, and communicate findings that help clients make informed decisions.
Our clients ask questions such as:
· Did this new school program improve student outcomes?
· Which factors best predict whether students will graduate?
· Are certain groups of students disproportionately suspended or identified for special education?
Your role is to determine the best analytical approach, conduct rigorous analyses, and translate the results into clear, actionable findings.
Success in this role requires both strong technical skills and excellent communication skills. You should be comfortable explaining statistical findings to people who are not statisticians and helping clients understand what the data mean—and just as importantly, what they do not mean.
We're looking for someone who is naturally curious, is a systems thinker, and pays close attention to detail. Data quality is our highest priority, so accuracy and careful verification are essential. You should enjoy asking "why" and uncovering insights that help improve programs and outcomes.
This position also requires someone who can use AI responsibly to improve workflows, increase efficiency, and enhance the quality of our work.
Your Day
· Analyze, interpret, and report findings from small and large, simple and complex datasets 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 variety of statistical analyses, including regression, correlation, matched comparison studies, predictive modeling, significance testing, and other appropriate methods.
· Create clear, compelling 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.
· Conduct data quality checks and validation procedures to ensure the accuracy and integrity of all analyses.
· Collaborate with clients and project staff to understand research questions and communicate findings in a practical, understandable manner.
· Manage multiple projects and respond to competing priorities.
· Explore opportunities to improve efficiency through automation and responsible use of AI.
Minimum Qualifications
· 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!
Important to Know
· Paid health insurance
· 401K
· Paid holidays and earned vacation and sick time
· Salary between $70,000 – $90,000 per year depending on experience.
· Remote or hybrid work options are available.
Your Next Move
Qualified candidates please email resume and cover letter to [email protected]. To demonstrate your attention to detail please put the words “I PAY ATTENTION” at the top of your cover letter.
Job Type: Full-time
Pay: $70,000.00 - $95,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Paid holidays
- Paid sick time
- Paid time off
Education:
Experience:
- Data analysis skills: 1 year (Preferred)
- SAS programming: 1 year (Preferred)
- R programming: 1 year (Preferred)
Work Location: Hybrid remote in Northglenn, CO 80234
