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Position Purpose: The Analytics Engineer is responsible for supporting all University Advancement initiatives that involve using analytics to improve business practices, with an emphasis on developing data infrastructure and tools. This position requires a deep understanding of data storage, cleaning, and conforming techniques coupled with a strong knowledge of data analysis processes and toolsets. A passion for innovative problem-solving is critical for success in this role.
DUTIES & RESPONSIBILITIES: •Technical Implementation (80%) Develop dedicated analytics environment within the wider technical framework; work with partners to identify primary and exhaust data from institutional and third-party systems; develop pipelines to make that data available to 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 enterprise; manage and direct technical vendors and data suppliers as appropriate.
•Program Management (10%) Take on leadership for specific technical efforts – understand the business problems the efforts are intended to address, develop a framework for addressing the problems, assign work to self and others on the team to implement the solutions, and communicate status and constraints clearly to leadership.
•Relationship Management (10%) Work with technical and non-technical stakeholders throughout the enterprise to develop data specifications, articulate complex technical constraints in plain language, and seek to increase the overall level of data literacy wherever possible.
REQUIREMENTS: •Bachelor's degree in related field and three years of experience as a data engineer or similar role; equivalent combination of education and experience may substitute for degree •Demonstrated ability to utilize industry-standard tools to develop data ETL pipelines and manipulate data in a SQL environment •Experience working in a role that supports data science and analytics, or basic familiarity with statistical analysis concepts and methods such as: measures of central tendency, measures of variance, and regression models •Experience working with big data in a variety of formats (e.g. structured, unstructured, text, blob data, etc.), especially as related 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: o Data ETL (such as SSIS, Informatica, Scribe, BIML, or others) o Managing data interactions via APIs o Data Manipulation (such as SQL, Python, R, or others) o Machine learning (such as TensorFlow, NLTK, Keras, Gensim, Spacy, or others) o Distributed or cloud computing (such as Azure, AWS, Hapdoop, Spark, or others)
Equivalent education and/or experience may substitute for minimum requirements.
Desired Qualifications: •Master’s Degree in Information Management, Computer Science, or discipline with related skills •Experience working with or in cross-functional teams •Knowledge of alumni relations, development, or advancement principles •Knowledge of donor CRM database software
Conditions of Employment: The workspace is cubicle environment which may result in ambient noise at conversational volume and occasional visual distractions.
Application Process: The application process for UW positions may include completion of a variety of online assessments to obtain additional information that will be used in the evaluation process. These 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 access your “My Jobs” page. If you select 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.
Founded in 1861, the University of Washington is one of the oldest public institutions in the west coast and one of the preeminent research universities in the world. The University of Washington is a multi-campus university comprised of three different campuses: Seattle, Tacoma, and Bothell. The Seattle campus is made up of sixteen schools and colleges that serve students ranging from an undergraduate level to a doctoral level. The university is home to world-class libraries, arts, music, drama, and sports, as well as the highest quality medical care in Washington State and a world-class academic medical center. The teaching and research of the University’s many professional schools provide undergraduate and graduate students the education necessary toward achieving an excellence that will serve the state, the region, and the nation. As part of a large and diverse community, the University of Washington serves more students than any other institution in the Northwest.