OPEN POSITIONS
If you are interested in working with a dynamic, growing team of educational and technical professionals, please provide a cover letter and resume via email to jobs@empiricaleducation.com. Enter the title of the position you are applying for in the subject line to ensure your email is routed to the appropriate department.
Senior Research Analyst with Expertise in Quasi-Experimental and Econometric Analysis
Empirical Education is seeking a senior analyst to join our team who can focus on the design and analysis of quasi-experiments testing the effectiveness of educational interventions. The candidate must have a degree (Ph.D. preferred) in economics or a related field. The employment may be full or part-time or on a consultant basis depending on expertise and availability. Solid experience with SAS is preferred, though we will also consider candidates with extensive experience using other software packages such as STATA. The candidate must be proficient with writing macros. The candidate must have a thorough background in, and practical experience with, propensity score matching, differences-in-differences estimation, regression with panel data, generalized linear models and mixed models. The position requires working with a team of researchers and analysts who perform advanced statistical analyses on experimental and quasi-experimental data from schools. The candidate must have sufficient expertise to advise Empirical Education analysts on theoretical, practical and programming questions. Consultancy may lead to full-time employment.
Data Warehouse Engineer
Empirical Education is looking for a Data Warehouse Engineer. This is an entry-level position that requires understanding of database construction and experience in building tools using Microsoft SQL Server and Access for database storage, display, and reporting. Experience with Excel VBA and ETL tools such as SSIS/SSRS is extremely important.
In conducting research we collect class lists, rosters, demographics, test results, and survey information. We make heavy use of Microsoft tools such as SQL Server with SSIS and SSRS, as well as other Microsoft tools (including Excel and VBA) for data acquisition, storage, processing and display. Our statisticians work primarily with R and SAS. The Data Warehouse Tools Engineer will work on tools to automate processes and will provide tools for research managers, statistical analysts, and clerical staff to improve efficiency. Familiarity with R is desirable. The Data Warehouse Tools Engineer will translate project requirements into tools that improve efficiency and accuracy of existing processes. We are also developing web-based versions of our data collection and analysis tools, using Microsoft technologies such as ASP.Net, VB.Net 2.0, and SQL Server. Experience with Web GUI’s and programming will also be helpful.
Reporting to the Vice President of Engineering, the Data Warehouse Engineer will join a team working on a range of tasks and will be expected to contribute to the following.
- Reviewing and checking data returned from the schools and other sources
- Preparing simple reports and views of data
- Installing data into the SQL databases used by analysis
- Warehousing and performing analysis of survey results including operating SAS macros and setting up formulaic parts of the analysis
- Developing new Word, Excel and Access macros to incorporate parts of our overall process
The following skills and experience are important for this position.
- A bachelor’s degree in computer science or related discipline
- SQL
- Knowledge and experience with Excel, Access, Word and especially VBA
- ETL issues such as cleaning, consistency checking, and descriptive statistics
- Some background in statistics—use of a commonly used statistics program such as R, SAS, or SPSS, would be very helpful but is not required
- Excellent verbal and written communication skills. Ability to display data in compelling and actionable ways
- Ability to work with research managers, statisticians, and clients and to explain technical issues
- Care and precision
Empirical Education’s commitment to equal opportunity for all employees and applicants for employment in accordance with all applicable laws, directives, and regulations of federal, state, and local governing bodies or agencies. Our specific commitments include the following:
We will recruit, hire, train, and promote persons in all job groups without regard to race, color, religion, gender, national origin, marital status, sexual orientation, age, disability, military service, veteran status or protected medical condition.