Analytics Developer (Onsite - Miamisburg, OH)
Billerud · Miamisburg, OH · 1 mo ago
EngineeringFull-time
About the role
We are seeking a mid-to-senior level Business Intelligence professional with deep Power BI expertise and a strong data and analytics foundation. The ideal candidate is a hands-on problem solver who can develop high-quality BI solutions, maintain a strong focus on data quality, and contribute to continuous improvement initiatives. Successful candidates are collaborative, self-motivated, adaptable, and committed to continuous learning. They possess strong communication skills and the ability to partner effectively across functions to deliver meaningful business value through analytics.
Responsibilities
- Design, develop, and maintain scalable Power BI solutions, including semantic models, datasets, reports, and dashboards that support business decision-making
- Partner with Supply Chain, Finance and Manufacturing stakeholders to gather requirements, translate business needs into analytical solutions, and drive adoption of BI tools
- Develop and optimize data models using industry best practices (star schema, data relationships, measures, and calculations using DAX)
- Create intuitive, user-friendly dashboards and visualizations that effectively communicate insights and trends
- Ensure high performance, reliability, and usability of Power BI solutions across the Power BI Service environment
- Write, optimize, and maintain SQL queries to support reporting and data analysis needs
- Support and contribute to data pipeline processes, including ETL workflows and integration of data from multiple sources
- Apply data quality and governance best practices to ensure accuracy, consistency, and trust in reporting solutions
- Collaborate with cross-functional teams to support enhancements, troubleshooting, and continuous improvement of BI solutions
- Provide subject matter expertise on BI tools, data structures, and reporting best practices, mentoring team members as needed
- Participate in support and on-call rotation to ensure availability and performance of BI solutions
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related technical field (or equivalent experience)
- 5+ years of experience in Business Intelligence or data analytics roles, with increasing responsibility
- 3+ years of hands-on experience developing end-to-end solutions in Power BI, including data modeling and advanced DAX
- Demonstrated experience designing and delivering dashboards and reports for business users
- Strong experience with SQL development, including querying, transformation, and performance optimization
- Experience working with data warehousing concepts, dimensional modeling, and structured data environments
- Proven ability to engage with business stakeholders to gather requirements and translate them into technical solutions
- Working knowledge of Supply Chain, Finance and/or Manufacturing business processes and data
- Experience managing multiple priorities, troubleshooting issues, and delivering solutions in a fast-paced environment
Preferred Experience
- Experience working with modern data platforms, including Microsoft Fabric, Azure Data Factory, or similar ETL/data integration tools
- Exposure to Lakehouse or cloud-based data architectures
- Experience integrating data from ERP systems such as SAP
- Familiarity with data governance and data quality frameworks
Skills
- Power BI Expertise
- Advanced proficiency in Power BI Desktop and Service
- Strong data modeling skills, including semantic models, star schema design, relationships, and performance optimization
- Advanced DAX capabilities for complex measures, calculations, and tuning
- Expertise in dashboard development, data visualization, usability, and storytelling
- Ability to translate business requirements into actionable reporting and analytics solutions
- Strong stakeholder management and communication skills, with the ability to explain technical concepts to non-technical audiences
- Data & Platform Knowledge
- Proficiency in SQL development, complex query writing, and performance optimization
- Understanding of ETL, data integration, and transformation processes
- Familiarity with modern data platforms and architectures such as Microsoft Fabric, Lakehouse, and cloud environments
- Knowledge of data quality, validation, and governance principles
- Basic data engineering skills, including data pipelines and preparation
- Professional Skills
- Strong analytical, critical thinking, and problem-solving abilities
- Ability to work independently and collaborate across cross-functional teams
- Excellent organizational, prioritization, and time management skills
- Strong written and verbal communication skills
- Continuous learning mindset with a focus on emerging BI and data technologies