Data Visualization Analyst Jobs in Cleveland, OH

Case Western Reserve University is committed to providing a transparent estimate of the salary range available for this position at the time of its posting. The salary range is between $71,041 and $89,867, depending on qualifications, experience, department budgets, and industry data.
Employees receive more than just a paycheck. University employees enjoy a comprehensive benefits package that includes excellent healthcare, retirement plans, tuition assistance, paid time off, and a winter recess.
Job Description
POSITION OBJECTIVE
Under limited supervision, create, test, and train data models for university business office clients. Provide university comprehensive support for artificial intelligence and machine learning models, which provide predictive and prescriptive analysis of university business performance for enhanced management of the organization. Provide advanced support for business management, university leadership, and other data end users in the form of synthesized insights drawn from statistical and visual analysis of university data assets for improved business efficiency and decision-making at all levels of the organization.
ESSENTIAL FUNCTIONS

1. Import data from desperate source systems into the enterprise data lake, creating effective, scalable data pipelines for data analytics developers and data scientists in UTech and across the organization. Design and develop programs to address requirements for data transformations and metadata documentation. Maintain a high level of data ethics managing and maintaining university data. (30%)
2. Design and develop data analytics visualizations and data models for predictive and prescriptive analytics products using advanced statistical and mathematical concepts. Monitor, train, and improve data models to be as accuracy and beneficial as possible. Apply Machine Learning, Artificial Intelligence and Statistical expertise to implement analytics digital solutions that increase efficiency, reduce operational costs, and improve decision making and asset management. (30%)
3. Provide technical support for data analytics applications including analyzing, troubleshooting, and resolving complex performance issues on enterprise data pipelines. Collaborate in the definition of data requirements, perform modelling and analysis, validate with the subject matter experts (SMEs), examine and identify patterns and trends to help answer business questions. (30%)
4. Mentor team members to improve data analytics maturity at the organization. Coordinate and integrate assigned work with other team members. (10%)

NONESSENTIAL FUNCTIONS
Perform other duties as assigned. (<1>
CONTACTS
Department: Regular contact with supervisor to review goals, achievements, and overall performance. Daily contact with UTech managers and staff to address issues and opportunities collaboratively and to resolve any outstanding issues or challenges. Frequent contact with all other UTech staff to facilitate and promote joint action and cooperation to achieve results.
University: Frequent contact with Directors, Managers, Administrators, and project staff to establish a network of internal clients to serve by providing analytic tools for business operations improvements.
External: Regular contact with vendors, technology support staff, peer institutions, and others to establish a strong working knowledge of systems used for data management and data analytics.
Students: Little to no contact with students.
SUPERVISORY RESPONSIBILITIES
May supervise work of data analytics developers, business systems analysts, and/or contractors. May supervise work of project team members. Provide mentoring for data analytics developers. May ensure others comply with established standards.
QUALIFICATIONS
Bachelor's degree in one of the following preferred degrees, computer science, information technology, or related field and at least 2 to 5 years of progressive experience, OR Master's degree in one of the following fields, computer science, mathematics, statistics, data analytics, data science, or related field and at least 1 to 2 years of progressive experience.
REQUIRED SKILLS

1. In-depth knowledge of principles and methods of Data Analytics Development Life Cycle.
2. In-depth knowledge of relational database theory and data relationships.
3. In-depth knowledge of business area knowledge outside of technology at the university such as marketing, advancement, human resources, registrar/enrollment, finance, etc.
4. In-depth knowledge of statistical analysis (including, ANOVA, t-tests, A/B testing, regression analysis, correlation analysis, etc.) and experience with statistical software platforms (i.e., R, SPSS, SAS or equivalent), and knowledge of linear algebra and calculus.
5. In-depth knowledge of how to use AI and programmatically interact with AI.
6. In-depth knowledge of at least two programming languages (Python and SQL preferred).
7. In-depth knowledge of data visualization using software platforms (Tableau preferred).
8. In-depth knowledge of data governance, access, and privacy.
9. In-depth knowledge of standard PC software packages, including word processing, spreadsheet, database, and flowcharting.
10. In-depth knowledge of extract, transform and loading techniques for cleaning data.
11. In-depth knowledge of creating, testing, and training predictive modeling and machine learning algorithms (i.e., logistic regression, decision trees, Random Forest, gradient boosting, etc.).
12. In-depth knowledge of establishing Application Programming Interfaces (APIs) for data pipelines, data mining, and interacting with AI.
13. Experienced with using Databricks data platform, AWS services and cloud computing.
14. In-depth knowledge of data governance, access, and privacy knowledge.
15. Excellent oral and written communication skills with the ability to communicate effectively and engage with a varied user base having varied levels of technical proficiencies. Ability to convey technical or complex information to others in non-technical terms. Ability to interact with colleagues, supervisors and customers face to face.
16. Basic project management methods, tools, and techniques (i.e., waterfall, agile, scrum).
17. High level of curiosity and attention to detail.
18. Strong desire to learn new things and self-initiative.
19. Ability to work efficiently and effectively with a remote or hybrid team.
20. Ability to look at situations from multiple perspectives, break problems into component parts, and look for underlying causes and think through the consequences of different courses of action. Ability to identify various types of problems along with the creation of workable solutions. Requires the identification and analysis of problems, evaluation of alternatives, and provision of solutions.
21. Ability to develop networks and use them to strengthen internal and external support. Ability to identify opportunities and take action to build strategic relationships between UTech and other university areas, teams, departments, etc., to help achieve business goals. Ability to work effectively at all levels within an organization.
22. Ability to respond to difficult, stressful, or sensitive interpersonal situations in ways that reduce or minimize potential conflict and maintain good working relationships among internal and external customers. The ability to recognize awkward or potentially embarrassing situations that sometimes arise. Always aware of tone and careful choice of words, while at the same time ensuring that the intended message is clear, polite, and readily understood.
23. Ability to develop in-depth understanding of client needs in order to be more helpful. The ability to consider how different audiences are likely to respond and choose the best method of communicating the message to each audience.
24. Ability to recognize the importance of certain tasks and responsibilities and the ability to prioritize to ensure that deadlines are met.
25. Ability to be flexible in order to meet the constantly changing scope and needs of the department, division and customers being served. Ability to work in a face-paced environment while managing multiple projects. Ability to optimize the use of time and resources to achieve the desired results; effectively plans and organizes work to minimize crises; prioritizes appropriately.
26. Individual must possess the ability to manage and coordinate the activities of individuals over which the position may have no direct authority.
27. Ability to properly handle sensitive, confidential, or proprietary information, data, documents, etc.
28. Consistently models high standards of honesty, integrity, trust, openness, and respect for the individual. Must have the ability to use discretion and good judgment on sensitive and important matters.
29. Ability to meet consistent attendance.
30. Ability to demonstrate successful support, education, and advocacy for all students, aligned with the values, mission, and messaging of the university, while adhering to the staff policy on conflict of commitment and interest.
31. Willingness to learn and work with artificial intelligence (AI) tools and technologies.

WORKING CONDITIONS
Professional office setting and/or remote work setting. Participation in regular status and project meetings via in-person and video conference, team participation using online communications tools, and use of department project management tools. There are periods of stressful times especially during project deadlines. There may be occasional pressure from demanding customers. Due to time constraints, many functions must be completed on set deadlines. Travel between various locations on campus may be required. The position requires typing on a computer keyboard and using a computer mouse and a printer.
Hybrid Eligibility
This position is eligible for hybrid work arrangement up to two remote days per week at the discretion of the department. New employees may begin a hybrid schedule upon approval from the supervisor, successful completion of an orientation period and signing the remote work checklist certification form.
EEO Statement
Case Western Reserve University is an equal opportunity employer. All applicants are protected under federal and state laws and university policy from discrimination based on race, color, religion, sex, sexual orientation, gender identity or expression, national or ethnic origin, protected veteran status, disability, age and genetic information.
Reasonable Accommodations
Case Western Reserve University complies with the Americans with Disabilities Act regarding reasonable accommodations for applicants with disabilities. Applicants requiring a reasonable accommodation for any part of the application and hiring process should contact the CWRU Office of Equity at 216-368-3066 to request a reasonable accommodation. Determinations as to granting reasonable accommodations for any applicants will be made on a case-by-case basis.
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