ANALYTICS ENGINEER
Apply NowCompany: University of Washington
Location: Seattle, WA 98115
Description:
As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills and dedication to build stronger minds and a healthier world.
UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty.
For over 160 years, the University of Washington has been a hub for learning, innovation, problem solving and community building. Supporting this legacy and important public mission-with the goal of making the UW the world's greatest public university, as measured by positive impact-guides everything we do in University Advancement . Bringing together development; alumni and stakeholder engagement; marketing and communications; and advancement operations, we advance the UW's impact by developing meaningful connections that foster pride, advocacy and philanthropic support.
This starts with creating a culture of belonging within our organization that values the diverse experiences and expertise of our team members, allowing everyone to thrive and to contribute their unique talents as we strive to achieve our shared goals.
The Information Management team empowers University Advancement to achieve and sustain its mission and vision. This starts with creating a culture of belonging within our organization that values the diverse experiences and expertise of our team members, allowing everyone to thrive and to contribute their unique talents as we strive to achieve our shared goals.
The Information Management team has an exciting opening for an Analytics Engineer. This is a full-time, permanent position.
The Analytics Engineer is responsible for supporting University Advancement initiatives by using analytics to improve business practices, with an emphasis on developing a strong data infrastructure. This position requires a deep understanding of data storage, cleaning and conforming techniques, including the ability to effectively utilize data analysis processes and toolsets. The Analytics Engineer reports to the Manager for Data Analytics & Business Intelligence.
What You Will Do:
Technical Implementation (80%)
Develop dedicated analytics environment within the data governance framework.
Work with analysts, report developers and the data science team members to identify primary and exhaust data from institutional and third-party systems.
Develop data pipelines for the analytics environment.
In collaboration with analysts, data scientists and business partners, operationalize and deploy the output of analytics efforts for the benefit of the entire University Advancement organization.
Manage and direct technical vendors and data suppliers, as appropriate.
Program Management (10%)
Understand the business problems that assigned projects and efforts aim to address. Develop a framework for addressing problems, determine capacity on the team and assign work to implement the solutions, and communicate status and constraints to leadership.
Relationship Management (10%)
Work with technical and non-technical stakeholders throughout the organization to develop data specifications, articulate complex technical constraints in plain language and seek to increase the overall level of data literacy wherever possible.
Other duties as assigned.
MINIMUM REQUIREMENTS
Bachelor's degree in a related field AND two years of experience as a data engineer or a similar role.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
What You Bring:
Demonstrated ability to utilize industry-standard tools to develop data ETL pipelines and manipulate data in a SQL environment.
Experience with PySpark or related tools to perform large-scale data processing in a distributed environment.
Experience working in a role that supports data science and analytics, or basic familiarity with statistical analysis concepts and methods like central tendency, variance and regression models.
Experience working with big data in a variety of formats (e.g. structured, unstructured, text, blob data, etc.), especially as it relates to web, email, social media or mobile interactions and with other digital marketing platforms.
Deep understanding of at least one of the following technology sets:
oData ETL (such as SSIS, Informatica)
oData Analytics Platform (such as Databricks)
oData Manipulation (such as SQL, Python, R)
oMachine learning (such as Azure Machine Learning)
oDistributed or cloud computing (such as MS Fabric or Apache Spark)
What You Can Expect:
Cubical/Open workspace environment which may result in higher levels of noise and visual distractions.
Application Process: The application process may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select "Apply to this position". Once you begin an assessment, it must be completed at that time; if you do not complete the assessment, you will be prompted to do so the next time you log into your "My Jobs" page. If you choose to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
#UWUAJOBS
Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.
The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
To request disability accommodation in the application process, contact the Disability Services Office at [redacted] or [redacted].
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.
UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty.
For over 160 years, the University of Washington has been a hub for learning, innovation, problem solving and community building. Supporting this legacy and important public mission-with the goal of making the UW the world's greatest public university, as measured by positive impact-guides everything we do in University Advancement . Bringing together development; alumni and stakeholder engagement; marketing and communications; and advancement operations, we advance the UW's impact by developing meaningful connections that foster pride, advocacy and philanthropic support.
This starts with creating a culture of belonging within our organization that values the diverse experiences and expertise of our team members, allowing everyone to thrive and to contribute their unique talents as we strive to achieve our shared goals.
The Information Management team empowers University Advancement to achieve and sustain its mission and vision. This starts with creating a culture of belonging within our organization that values the diverse experiences and expertise of our team members, allowing everyone to thrive and to contribute their unique talents as we strive to achieve our shared goals.
The Information Management team has an exciting opening for an Analytics Engineer. This is a full-time, permanent position.
The Analytics Engineer is responsible for supporting University Advancement initiatives by using analytics to improve business practices, with an emphasis on developing a strong data infrastructure. This position requires a deep understanding of data storage, cleaning and conforming techniques, including the ability to effectively utilize data analysis processes and toolsets. The Analytics Engineer reports to the Manager for Data Analytics & Business Intelligence.
What You Will Do:
Technical Implementation (80%)
Develop dedicated analytics environment within the data governance framework.
Work with analysts, report developers and the data science team members to identify primary and exhaust data from institutional and third-party systems.
Develop data pipelines for the analytics environment.
In collaboration with analysts, data scientists and business partners, operationalize and deploy the output of analytics efforts for the benefit of the entire University Advancement organization.
Manage and direct technical vendors and data suppliers, as appropriate.
Program Management (10%)
Understand the business problems that assigned projects and efforts aim to address. Develop a framework for addressing problems, determine capacity on the team and assign work to implement the solutions, and communicate status and constraints to leadership.
Relationship Management (10%)
Work with technical and non-technical stakeholders throughout the organization to develop data specifications, articulate complex technical constraints in plain language and seek to increase the overall level of data literacy wherever possible.
Other duties as assigned.
MINIMUM REQUIREMENTS
Bachelor's degree in a related field AND two years of experience as a data engineer or a similar role.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
What You Bring:
Demonstrated ability to utilize industry-standard tools to develop data ETL pipelines and manipulate data in a SQL environment.
Experience with PySpark or related tools to perform large-scale data processing in a distributed environment.
Experience working in a role that supports data science and analytics, or basic familiarity with statistical analysis concepts and methods like central tendency, variance and regression models.
Experience working with big data in a variety of formats (e.g. structured, unstructured, text, blob data, etc.), especially as it relates to web, email, social media or mobile interactions and with other digital marketing platforms.
Deep understanding of at least one of the following technology sets:
oData ETL (such as SSIS, Informatica)
oData Analytics Platform (such as Databricks)
oData Manipulation (such as SQL, Python, R)
oMachine learning (such as Azure Machine Learning)
oDistributed or cloud computing (such as MS Fabric or Apache Spark)
What You Can Expect:
Cubical/Open workspace environment which may result in higher levels of noise and visual distractions.
Application Process: The application process may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These assessments may include Work Authorization, Cover Letter and/or others. Any assessments that you need to complete will appear on your screen as soon as you select "Apply to this position". Once you begin an assessment, it must be completed at that time; if you do not complete the assessment, you will be prompted to do so the next time you log into your "My Jobs" page. If you choose to take it later, it will appear on your "My Jobs" page to take when you are ready. Please note that your application will not be reviewed, and you will not be considered for this position until all required assessments have been completed.
#UWUAJOBS
Committed to attracting and retaining a diverse staff, the University of Washington will honor your experiences, perspectives and unique identity. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable and welcoming.
The University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
To request disability accommodation in the application process, contact the Disability Services Office at [redacted] or [redacted].
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law.