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**Qualified Internal applicants must apply by 9/28/22 to be considered for this role**

About the role:

The Analytics Manager plays a critical role in WGU’s culture of data-driven continuous improvement. This Senior role is responsible for providing leadership and relationship management between Outreach Analytics and their assigned department. This person must gain a deep understanding of the strategies, tactics, and goals of the data used to lead. The Analytics Manager is responsible for both performing and coordinating rigorous data analysis to help guide decision-making within their partner department and across Outreach Analytics through various collaborations. They are expected to present findings clearly, concisely, and directed toward action.

What you'll do...

• Own the analytical support relationship between assigned department and Outreach Analytics

• Responsibility to lead or manage an Outreach-supported initiative or project at the enterprise 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 team resource allocation of project

  • Communicate project statuses and activities to Outreach and WGU leadership

• Coordinate execution of partner department’s analytics projects with Manager, Outreach Analytics, Project Manager, and supporting Analysts

• 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

• 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

• Performs other related duties as assigned.

Knowledge, Skill and Abilities:

• 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 Tableau, Power BI, or similar applications

• Experience with working with different raw data 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.

What you'll need...

• Bachelor’s degree in Statistics, Economics, Computer Science, applied mathematics discipline, business, or other related degrees

• 5+ years of experience in data analytics, business intelligence, or information technology with a bachelor's degree, or 3+ years and a master's degree, or a doctorate or terminal degree without experience​.

• Experience working with Agile methodology

• Demonstrated experience in project management

Nice to have...

• 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

• May have broad knowledge of project management.

Disclaimer: This Job Description has been designed to indicate the general nature, essential duties, and responsibilities of work performed by employees within this classification. It does not contain a comprehensive inventory of all duties, responsibilities, and qualifications that are required of the employee to do this job.  Duties, responsibilities, and activities may change at any time with or without notice. This Job Description does not constitute a contract of employment and the University may exercise its employment-at-will rights at any time.

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As an equal opportunity employer, WGU recognizes that our strength lies in our people. We are committed to diversity.