Western Governors University

At WGU, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case.. If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career.. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals.. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families.. Experience coding in SAS, SPSS, Stata, or other recognized statistical software

senior research analyst

The salary range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At WGU, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: Pay Range: $77,200.00 - $115,700.00 If you’re passionate about building a better future for individuals, communities, and our country—and you’re committed to working hard to play your part in building that future—consider WGU as the next step in your career. Driven by a mission to expand access to higher education through online, competency-based degree programs, WGU is also committed to being a great place to work for a diverse workforce of student-focused professionals. The university has pioneered a new way to learn in the 21st century, one that has received praise from academic, industry, government, and media leaders. Whatever your role, working for WGU gives you a part to play in helping students graduate, creating a better tomorrow for themselves and their families. Essential Functions and Responsibilities: Extract and manipulate data using SQL. Develop database objects Code and perform unit testing of developed code Proficient analytical skill set and experience with creating, cleaning, and analyzing large data sets Develop and deploy complex reports and dashboards Create data-informed processes to resolve business problems and use analytical methods to produce actionable insights Manage change requests and troubleshoot data issues Complete root cause analysis on KPIs Collaborate in the forecasting of key business drivers and KPIs Present findings to technical and non-technical audiences including executive staff Design process and business audits for data quality Ability to attend to detail, manage multiple tasks and meet deadlines Work closely and communicate effectively with business users and stakeholders. Requirements gathering and documentation from stakeholders Responsibility to Lead or Manage an IR-supported initiative or project at the enterprise-wide level Meet and Consult with the project stakeholders to determine scope, requirements, final product, and if needed, on-going maintenance support Facilitate needs-analysis and IR resource allocation of project Communicate project statuses and activities to IR and WGU leadership Represent Institutional Research at meetings and other coordinating events to provide IR insights, perspective and results Assist, train, and guide less experienced members of the team in technical processes Required Education and Experience: Bachelor’s degree in Statistics, Economics, Computer Science, applied mathematics discipline, business, or other related degrees 4 years’ experience in data analytics, business intelligence, or information technology Experience working with Agile methodology Demonstrated experience in project management Required Skills: Advanced Excel Advanced SQL skills Understanding of inferential statistics and predictive modeling Understanding of time-series forecasting Proficiency in visual display of data Experience developing and producing reporting using Cognos, Tableau, Power BI, or similar applications Experience with working with different file formats such as JSON, XML, and CSV Experience in data validation and testing to analyze, debug and fix issues Knowledge of qualitative research analysis, methodologies and best practices Experience in KPI development and application Expertise in understanding, manipulating and querying large data sets with complex file structures Experience and success with creative problem solving particularly with respect to innovative data applications Ability to bridge communication and action between business user stories and technical requirements Ability to explain complex data and research issues in a professional manner with technical and non-technical colleagues Excellent communication and documentation skills Ability to work well in a team environment Professional communication across all levels of the organization Experience working with enterprise data warehouses and big data Familiarity with ETL techniques Demonstrated ability to identify project risks. Experience in change management Skilled in project design and management. Can do big picture project management and detail results delivery Skilled in stakeholder facilitation. Ability to anticipate customer needs and understand customer requirements Ability to work independently Experience in designing, organizing, and managing multiple complex projects simultaneously and with meeting deadlines Preferred Qualifications: Master's degree in statistics, social sciences, data analytics, or other related degree Experience working in Higher Education Experience working with Salesforce Time-series forecasting, machine learning, advanced ETL development, Spark, and big data Experience coding in SAS, SPSS, Stata, or other recognized statistical software Proficiency in Python, R, or Scala for processing and analyzing data Experience creating Machine Learning Predictive Models Experience in survey design and sampling methodology The University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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