Web and Marketing Data Statistics Analyst
Posted Date 1 month ago(7/5/2019 5:00 AM)
Number of Openings 1
Closing Date 8/6/2019
Type of Search Staff
Who May Apply This position is open to all qualified applicants.
Campus
St Paul
Department/Unit Marketing, Insights and Communications
FLSA Status Exempt/Salaried
Employment Type Full-Time Staff
Assigned Months per Year 12
Benefits Eligible Yes

OVERVIEW

Web and Marketing Data Statistics Analyst

The University of St. Thomas seeks a Web and Marketing Data Statistics Analyst in St. Paul, Minnesota.

Serve as a key member of the Insights & Analytics Team, focusing on website architecture and redesigns, data modeling and predictive analysis, content and social strategy analysis, campaign planning, reporting and campaign optimization of marketing programs across the University of St. Thomas.

Duties involve understanding of data science and the use of algorithms to create data/statistical models.

Partner with marketers, analysts, vendors, affiliated groups and others to assist with tasks which may include data mining, research, data modeling, lead scoring and other data related projects. Focus on campaign strategy, planning, measurement, optimization and reporting.

Identify patterns, build models and design algorithms to assist in making data-informed decisions.

Work with modeling software to identify new lead opportunities for the University.

Contribute to strategy, assist in execution, provide input on lead measurement, optimization, and reporting of digital marketing programs.

Contribute to website redesign efforts including input on information architecture, content analysis, user experience, optimizations, SEO efforts, and reporting.

Identify opportunities for A/B testing and analysis of the outcomes.

Gather data from internal and external sources to assist with research in data projects.

Understand project needs, determine steps to complete project, and identify outcomes.

Determine and utilize appropriate tools, data sources, and research as input to projects.

Generate personas, cohorts, and segments as appropriate to assist with understanding modeling.

Lead score modeling including information gathering and retrieval, cleaning data and extraction, and building and running models.

Build out code and logic to support analysis.

Build predictive models through design of flowcharts and creating algorithms.

Provide timely project updates.

Complete ad hoc analysis requests.

Contribute to appropriate website redesign project efforts, including assisting and providing input on information architecture, market research, user experience, optimizations, content hierarchy, SEO recommendations and considerations, tracking needs, and reporting outputs.

Help with CMS content structure, SEO, and page templates.

Ad hoc feature requests assistance to help create the logic behind tools such as program finder search structure and general optimization support.

Ongoing support for landing page analysis and recommendations.

Contribute to planning efforts, including identification of business and marketing goals, and development of strategies.

Establish campaign KPIs, manage development of comprehensive analysis and reporting of digital program performance, and its alignment with established metrics.

Ensure underlying measurement tactics are in place and optimized at the launch of campaign, and throughout its lifecycle.

Manage campaign monitoring, ensuring ability to analyze performance and effectiveness of marketing programs, attribute success across channels, and recommend adjustments.

Utilize performance and analytics tools to recommend enhancements to increase traffic and conversions.

Optimize performance of digital campaigns, developing and adjusting criteria to reach target audiences.

Work with marketing to develop, test, and optimize new post-click landing pages for paid campaigns.

Develop and disseminate relevant analytics reports, including analysis and recommendations, highlighting conversion metrics across channels and messages.

Contribute to ongoing search engine optimization efforts, including research, selection of keywords, meta data, URLs, content updates, text anchoring, image tagging, and other factors impacting page ranking.

Conduct audits of existing marketing efforts, develop strategies and tactics for optimization and enhancement.

Content and Social Strategy Analysis including link analysis, designing and building taxonomies and ad hoc tool development and structure.

Other duties as assigned.

Must have proof of legal authority to work in the U.S.

QUALIFICATIONS

Required Education: A Bachelor's degree (U.S. or foreign equivalent) in data science, computer applications, software systems, statistics, or a closely related field; or a Master's degree in data science, computer applications, software systems, statistics, or a closely related field.

Required Experience: For candidates with a Bachelor's degree listed above, a minimum of 3 years of professional experience. For candidates with a Master's degree, a minimum of 3 months of professional experience. Professional experience means the following types of experience: (1) predictive analysis experience; (2) data modeling experience, including experience analyzing and transforming raw data into processed information and developing graphs and tools for concept model and specifications; (3) Database and data mining experience; (4) Campaign marketing and optimization experience; (5) Website architecture, behavior, SEO, and UX experience; or (6) Report design, creation and automation. The professional experience must include at least one of the experiences listed above or any combination of any of the experience listed to total required amount of experience depending on the level of education.

Interested candidates should apply online at https://www.stthomas.edu/jobs.

This position is for full-time employment by the University of St. Thomas for employment in St. Paul, Minnesota. EOE.

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