Jobs · Engineering · Ohio

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

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