Eastern Washington University
Data Consultant 1 – Project
Eastern Washington University, Cheney, Washington, United States, 99004
Special Instructions
It is strongly recommended that you print a copy of these instructions and the position posting before you begin to complete the online application, as the instructions will not be viewable once you begin the application process.Submit your application materials through our online applications portal located here:
https://jobs.hr.ewu.edu . If you are unable to submit through the applicant portal, please contact Human Resources Services at (509) 359-2381. Position is open until further notice; screening will begin on September 19th. All materials will be held in the strictest confidence; references will not be contacted until candidates have been notified.Required documentation includes all of the items listed below:Attach a
detailed cover letter
in which you explain
how
you meet each of the required qualifications [and preferred qualifications, if applicable]. It is preferred that you provide that information in a bulleted list or within a table within your cover letter.Attach a
chronological resume
including work history and major duties, education, and any specialized training or skills related to the position. List at least
3 professional references
including: names, titles, organization name, phone numbers, email addresses, and connection to you (these can be identical to the references listed on the application).Complete the
online application
form and respond to the online questions, if applicable.Diversity Response
– As an equal opportunity employer with a multicultural staff and student population, we are interested in how your qualifications prepare you to work with diverse faculty, staff, and student populations representing various cultures and backgrounds that may be different from your own. You will be asked to attach a diversity response as part of the online application process:
Please describe how you will apply an approach that is supportive to the diverse needs, including universal access, of our students, faculty, staff, and the public.Position Information
Working Title:
Data Consultant 1 – ProjectPosting Number:
2024070CPClassification Code:
125AFLSA:
Non-Exempt% Full Time:
100Salary / Wage Range:
$45,636 (minimum) up to $52,620, depending on education, experience, and skills.Anticipated Start Date:
As soon as possibleTerm of Appointment:
12 monthsLocation:
SpokaneThis is a full-time 36-month administrative project position reporting to the Associate Director for Institutional Research. This position serves as administrative assistance with research and data analysis, including data visualization and reporting, to the Office of Institutional Research.Required Qualifications
Bachelor’s degree, or to be completed within 12 months, in statistics, data science, data analytics, computer science, economics, or mathematics with coursework in mathematical statistics (theory) and general linear models.Experience analyzing descriptive and inferential statistics using the R programming language (Python, SAS or STATA will also be considered).Experience gathering data using SQL programming.Excellent reproducible research habits (Git, clean coding practices, etc.).Demonstrated ability to learn new statistical/machine learning methods.Demonstrated ability to work independently or collaboratively when needed.Demonstrated ability to deal with critical and time-sensitive processes.Demonstrated ability to maintain confidentiality of verbal or written documents and sensitive data.Foster a culture of ethical research, a commitment to diversity, and encourage a supportive, team-oriented work environment.Demonstrated interest, ability and/or experience promoting cultural competency, universal accessibility, and/or diversity.Preferred Qualifications
Knowledge and implementation of machine/statistical learning methodology (predictive modeling workflow).Knowledge of advanced statistical methods such as longitudinal data analysis and time-series.Experience presenting research and/or statistical findings and methods to technical and non-technical constituents.Experience creating Tableau dashboards or R Shiny applications.Experience working with higher education data (Banner systems).Experience working in the Argos reporting system.Work Schedule
Typically M-F 8am – 5pm, but may be required to work evenings and/or weekends to fulfill special projects and other needs of the university.Conditions of Employment
This position is covered by the Washington Federation of State Employees’ Collective Bargaining Agreement. All new faculty and staff are required to complete DEI /Title IX/Hazing Training for employees. This should be completed as soon as possible, but no later than the first few weeks of your hire.Diversity Statement
EWU does not discriminate in its programs and activities on the basis of race, color, creed, religion, national origin, citizenship or immigration status, sex, pregnancy, sexual orientation, gender identity/expression, genetic information, age, marital status, families with children, protected veteran or military status, HIV or hepatitis C, status as a mother breastfeeding her child, or the presence of any sensory, mental, or physical disability or the use of a trained guide dog or service animal by a person with a disability, as provided for and to the extent required by state and federal laws.
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It is strongly recommended that you print a copy of these instructions and the position posting before you begin to complete the online application, as the instructions will not be viewable once you begin the application process.Submit your application materials through our online applications portal located here:
https://jobs.hr.ewu.edu . If you are unable to submit through the applicant portal, please contact Human Resources Services at (509) 359-2381. Position is open until further notice; screening will begin on September 19th. All materials will be held in the strictest confidence; references will not be contacted until candidates have been notified.Required documentation includes all of the items listed below:Attach a
detailed cover letter
in which you explain
how
you meet each of the required qualifications [and preferred qualifications, if applicable]. It is preferred that you provide that information in a bulleted list or within a table within your cover letter.Attach a
chronological resume
including work history and major duties, education, and any specialized training or skills related to the position. List at least
3 professional references
including: names, titles, organization name, phone numbers, email addresses, and connection to you (these can be identical to the references listed on the application).Complete the
online application
form and respond to the online questions, if applicable.Diversity Response
– As an equal opportunity employer with a multicultural staff and student population, we are interested in how your qualifications prepare you to work with diverse faculty, staff, and student populations representing various cultures and backgrounds that may be different from your own. You will be asked to attach a diversity response as part of the online application process:
Please describe how you will apply an approach that is supportive to the diverse needs, including universal access, of our students, faculty, staff, and the public.Position Information
Working Title:
Data Consultant 1 – ProjectPosting Number:
2024070CPClassification Code:
125AFLSA:
Non-Exempt% Full Time:
100Salary / Wage Range:
$45,636 (minimum) up to $52,620, depending on education, experience, and skills.Anticipated Start Date:
As soon as possibleTerm of Appointment:
12 monthsLocation:
SpokaneThis is a full-time 36-month administrative project position reporting to the Associate Director for Institutional Research. This position serves as administrative assistance with research and data analysis, including data visualization and reporting, to the Office of Institutional Research.Required Qualifications
Bachelor’s degree, or to be completed within 12 months, in statistics, data science, data analytics, computer science, economics, or mathematics with coursework in mathematical statistics (theory) and general linear models.Experience analyzing descriptive and inferential statistics using the R programming language (Python, SAS or STATA will also be considered).Experience gathering data using SQL programming.Excellent reproducible research habits (Git, clean coding practices, etc.).Demonstrated ability to learn new statistical/machine learning methods.Demonstrated ability to work independently or collaboratively when needed.Demonstrated ability to deal with critical and time-sensitive processes.Demonstrated ability to maintain confidentiality of verbal or written documents and sensitive data.Foster a culture of ethical research, a commitment to diversity, and encourage a supportive, team-oriented work environment.Demonstrated interest, ability and/or experience promoting cultural competency, universal accessibility, and/or diversity.Preferred Qualifications
Knowledge and implementation of machine/statistical learning methodology (predictive modeling workflow).Knowledge of advanced statistical methods such as longitudinal data analysis and time-series.Experience presenting research and/or statistical findings and methods to technical and non-technical constituents.Experience creating Tableau dashboards or R Shiny applications.Experience working with higher education data (Banner systems).Experience working in the Argos reporting system.Work Schedule
Typically M-F 8am – 5pm, but may be required to work evenings and/or weekends to fulfill special projects and other needs of the university.Conditions of Employment
This position is covered by the Washington Federation of State Employees’ Collective Bargaining Agreement. All new faculty and staff are required to complete DEI /Title IX/Hazing Training for employees. This should be completed as soon as possible, but no later than the first few weeks of your hire.Diversity Statement
EWU does not discriminate in its programs and activities on the basis of race, color, creed, religion, national origin, citizenship or immigration status, sex, pregnancy, sexual orientation, gender identity/expression, genetic information, age, marital status, families with children, protected veteran or military status, HIV or hepatitis C, status as a mother breastfeeding her child, or the presence of any sensory, mental, or physical disability or the use of a trained guide dog or service animal by a person with a disability, as provided for and to the extent required by state and federal laws.
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