Senior Research Analyst

Western Governors University

Job Description

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

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