Data Analytics & BI Analyst

Data Analytics & BI Analyst

Location: Marysville, Ohio, United States (Onsite)

Industry: Motor Vehicle Manufacturing

Work Setting: Onsite

Are you passionate about transforming data into actionable insights and leveraging Business Intelligence, Artificial Intelligence, and Machine Learning to drive smarter business decisions?

We are seeking a motivated BI & Data Science Analyst to support the design, development, and deployment of data-driven solutions that enable reporting, advanced analytics, and intelligent decision-making across the organization.

This role offers the opportunity to work on Business Intelligence, Data Science, AI/ML, and cloud-based data initiatives while collaborating with business and technology teams to deliver scalable and impactful solutions.

The ideal candidate has a strong analytical mindset, foundational experience in data technologies, and a passion for turning complex data into meaningful business outcomes.

Key Responsibilities

Business Intelligence & Reporting

• Design, develop, and maintain interactive dashboards, reports, and data models using modern business intelligence platforms.
• Translate business requirements into scalable reporting and analytics solutions.
• Ensure data accuracy, consistency, and alignment with organizational performance metrics.
• Optimize reporting environments, dashboards, and data models to improve performance and user experience.
• Support business users with self-service reporting and analytics capabilities.

Data Science & Advanced Analytics

• Develop analytical models and data-driven solutions that support strategic and operational decision-making.
• Perform data exploration, validation, feature engineering, and statistical analysis.
• Identify trends, patterns, and opportunities through quantitative analysis.
• Deliver actionable insights that improve business performance and efficiency.
• Support the development and deployment of advanced analytics use cases.

Artificial Intelligence & Machine Learning

• Assist in developing and implementing AI and Machine Learning solutions for business applications.
• Support predictive modeling, forecasting, classification, natural language processing, and other intelligent systems.
• Collaborate with technical teams to integrate AI capabilities into reporting and analytics environments.
• Evaluate emerging AI technologies and contribute to innovation initiatives.
• Support responsible AI practices, model governance, and explainability efforts.

Data Integration & Platform

Support

• Work closely with data engineering and technology teams to access, integrate, and transform data from various sources.
• Support data modeling, architecture, and data transformation best practices.
• Contribute to the development and maintenance of scalable cloud-based analytics solutions.
• Assist with data pipeline monitoring, performance optimization, and troubleshooting activities.
• Support enterprise data management and analytics platforms.

Governance & Quality Management

• Adhere to data governance, security, privacy, and access control standards.
• Support development and maintenance of reporting standards, documentation, and reusable assets.
• Participate in solution documentation and compliance-related activities.
• Assist with reporting platform administration, monitoring, and quality assurance initiatives.
• Ensure data integrity and consistency across reporting and analytical solutions.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics, Mathematics, Engineering, Information Technology, Statistics, or a related technical discipline.
• 1+ years of experience in Business Intelligence, Data Analytics, Artificial Intelligence, Machine Learning, or related areas.
• Experience working with scripting and query languages such as Python, SQL, R, or similar technologies.
• Understanding of structured and unstructured data concepts, data modeling, and data architecture principles.
• Familiarity with enterprise technology environments, infrastructure, and operational support practices.
• Strong analytical thinking and problem-solving capabilities.

Preferred Technical Skills

• Experience with Business Intelligence platforms such as Power BI, Qlik, Tableau, SAP BusinessObjects, or similar tools.
• Knowledge of data visualization, dashboard development, and reporting best practices.
• Understanding of data marts, dimensional modeling, and enterprise data concepts.
• Experience with data validation, cleansing, transformation, and analysis.
• Basic knowledge of Machine Learning techniques, predictive analytics, statistical modeling, and DataOps concepts.
• Experience working with relational databases and SQL-based platforms.
• Familiarity with cloud technologies, data lakes, data warehouses, and cloud analytics ecosystems.
• Exposure to ETL/ELT tools, data integration frameworks, and modern data platforms.
• Understanding of cloud-based databases and reporting environments.
• Knowledge of data governance, security, and access management principles