Workplace Type: Onsite
Employment Type: FT
Job Location: Barberton, OH
JOB SUMMARY
The Analytics Solutions Architect I develops and implements analytics, automation, and data solutions that improve business processes across CHM. This role manages project priorities, collaborates with business and technical teams, and supports solution implementation and adoption through effective communication and training.
PRIMARY RESPONSIBILITIES
- Manage and prioritize the Analytics/Data Solutions project backlog based on business needs, impact, and available resources.
- Partner with stakeholders to identify challenges, gather requirements, recommend solutions, and communicate project progress.
- Collaborate with technical teams to design, test, implement, and optimize analytics, automation, and data solutions.
- Evaluate emerging technologies and recommend tools that improve operational efficiency.
- Monitor solution performance and adoption, addressing issues and identifying improvement opportunities.
- Maintain documentation of requirements, solution designs, and implementation outcomes.
- Provide end-user training and support to promote effective use of analytics solutions.
CORE COMPETENCIES
- Application Performance Monitoring (APM) Software
- Business Intelligence Software
- Business Requirement Gathering
- Compatibility Testing
- Data Architecture
- Data Profiling
- Data Visualization
- Database Structures
- Design Documentation
- Enterprise Architecture
- ETL (Extract, Transform, Load)
- ETL Architecture
- Querying Languages
REQUIRED QUALIFICATIONS
- 2–4 years of experience in analytics, business analysis, data science, software engineering, or a related technical field.
- Working knowledge of business intelligence, analytics, automation, and statistical concepts.
- Experience managing technical projects, priorities, and deliverables.
- Ability to gather business requirements and translate them into practical solutions.
- Strong analytical, problem-solving, communication, and documentation skills.
- Experience collaborating with stakeholders and supporting technology adoption.
- Bachelor’s degree in Business, Computer Science, Data Science, Information Systems, Engineering, or a related field, or equivalent relevant experience preferred.
- Experience with Power BI, Tableau, or similar business intelligence platforms preferred.
- Knowledge of SQL, Python, automation/RPA, statistical modeling, or forecasting preferred.
- Familiarity with data privacy, security, and governance practices preferred.
- Experience in healthcare, insurance, nonprofit, faith-based organizations, or technical consulting preferred.
- Relevant analytics or data certifications, such as Microsoft Power BI Data Analyst Associate or Tableau certification preferred.

