Job Location: Remote
Job Detail:
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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