Senior User Enablement Analyst

Role overview

Responsibilities

• Assess user needs and adoption gaps, recommend targeted support, and partner with subject matter experts and platform teams.
• Design and deliver role-based learning, training programs, workshops, and office hours for analytics, AI, and data platform users.
• Build user communities and support discovery and consumption of governed data products through the enterprise Data Marketplace.
• Guide users adopting Databricks and Data Architecture patterns and work with engineering, governance, and platform teams to promote reusable trusted data products.
• Drive self-service adoption; identify barriers and recommend training, documentation, process, and platform improvements.
• Define and manage adoption KPIs and communicate use cases, trends, and business outcomes.

Education and experience

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or at least 7 years of data analytics experience in a data-related or business organization in lieu of a related degree.
• 4–6 years of experience in a data analysis role.
• Must be legally authorized to work without current or future employment visa sponsorship and be at least 18 years old.

Required skills and knowledge

• Proficiency in data analysis and statistical tools and techniques; experience with large datasets and predictive analysis.
• Effective communication and collaboration with technical and non-technical stakeholders.
• Familiarity with learning and development techniques and best practices.
• Knowledge of BI and analytics technologies, such as Power BI, MicroStrategy, Tableau, SAP Business Objects, or Oracle BI.

Preferred qualifications

• Relevant certifications such as CAP or Google Data Analytics are preferred.
• Experience with Databricks or similar tools is preferred.

Workplace

• This is not a remote position; the role reports to the Global Headquarters in downtown Cleveland, Ohio.