Data Analyst

Essential Functions And Responsibilities

• Evaluate Dashboards and Metrics: Assess the accuracy, clarity, and relevance of dashboards and key performance indicators to ensure alignment with business objectives and decision-making needs.
• Advocate for Dashboards: Promote the adoption and consistent use of dashboards across the organization, fostering a culture of data-driven decision-making.
• Collaboration: Partner with team members, managers, and business stakeholders to gather requirements, clarify objectives, and deliver tailored data-driven solutions.
• Training and Documentation: Develop, document, and deliver training plans and materials to ensure effective dashboard usage, administration, and data interpretation.
• Continuous Development: Proactively expand knowledge of data warehouses, BI tools, enterprise applications, query languages, and organizational data structures to improve analytical outcomes.
• System Support and Maintenance: Support and maintain data analysis platforms, including Power BI, ensuring system reliability, performance, and user accessibility.
• Business Intelligence Analysis: Follow a structured BI process to address specific business questions, delivering statistical models, analytic reports, or clear data summaries.
• Research and Insights Development: Conduct research on emerging data trends, best practices, and advanced analytics techniques to inform improvements in reporting and dashboard design.
• Data Security and Compliance: Safeguard the integrity and security of enterprise data, adhering to best practices for privacy, security, and compliance with relevant regulations.

Minimum Skills And Qualifications

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, Business Intelligence, or equivalent work experience in a related field.
• 4+ years of experience in business intelligence, data analysis, or a related role.
• Experience supporting end-users, addressing inquiries, and resolving issues in a performance-driven environment.
• Experience working with large datasets and data warehousing concepts.
• Previous experience in a dealership, retail, or operational analytics environment is a plus.
• Proficiency with Power BI, Excel, and other reporting tools.
• Strong skills in data querying techniques and SQL.
• Solid understanding of statistical analysis and data modeling.
• Familiarity with programming languages such as Python or R is a plus.
• Experience documenting and maintaining configuration settings and BI process documentation.
• Excellent verbal and written communication skills.
• Able to translate complex data into clear, actionable insights for a non-technical audience.
• Strong problem-solving abilities and attention to detail.
• Exceptional time management skills and the ability to handle multiple tasks simultaneously.
• Highly self-motivated and proactive, with a strong attention to detail.
• Familiarity with Agile project management methodologies.

Employee Benefits

• 401(k): Match and employer discretionary contribution.
• Health Insurance: Two options are available, including an HSA with a dollar-for-dollar match of up to $1,200 per year.
• Dental & Vision Insurance: Comprehensive coverage options.
• Financial Access: Credit Union membership is available.
• Insurance: Life Insurance, Short-Term Disability, and Long-Term Disability coverage.
• Educational Opportunities: Scholarships for employees’ spouses and children through the Ohio Machinery Education and Opportunity Foundation.
• Compensation: Base pay, annual bonus potential, and company success share bonuses.

Physical Requirements

• Sitting for extended periods of time.
• Dexterity of hands and fingers to operate a computer keyboard, mouse, power tools, and to handle other computer components.
• Lifting and transporting of moderately heavy objects, such as computers and peripherals.