Business Intelligence Developer II

Holman Automotive

402d • $81,210 - $117,760

About The Position

The Business Intelligence Developer II at Holman is responsible for transforming raw data into actionable intelligence using modern platforms like Databricks and Power BI. This role focuses on designing, developing, and maintaining advanced data solutions, including creating data pipelines, developing dashboards, and applying machine learning techniques to solve complex business problems. The position requires collaboration with various stakeholders to ensure data solutions meet business needs and drive innovation.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field.
• 3-5 years of experience in business intelligence, data engineering, or a related role.
• Proficiency in Databricks (Spark, PySpark) for data processing and transformation.
• Strong expertise in Power BI for semantic model management, dashboarding, and visualization.
• Experience building and deploying ML/AI models in Databricks or similar platforms.
• Proficiency in SQL and Python.
• Solid understanding of ETL/ELT pipelines and data warehousing concepts.
• Familiarity with cloud platforms (e.g., Azure, AWS) and tools like Delta Lake.
• Experience with Git, GitHub, and CI/CD practices.

Nice To Haves

• Certifications in Power BI, Databricks, or cloud platforms.
• Experience with advanced analytics tools (e.g., TensorFlow, Scikit-learn, AutoML).
• Exposure to Agile methodologies and DevOps practices.

Responsibilities

• Develop and maintain data pipelines in Databricks for Silver and Gold layers, ensuring data quality and reliability.
• Optimize data workflows to handle large volumes of structured and unstructured data efficiently.
• Design and optimize Power BI semantic models, including creating star schemas and managing table relationships.
• Create, enhance, and maintain interactive dashboards and reports in Power BI to provide actionable insights to stakeholders.
• Collaborate with business units to gather requirements and ensure dashboards meet user needs.
• Use Databricks and other platforms to build and operationalize ML/AI models to enhance decision-making.
• Work closely with data engineers, analysts, and business stakeholders to deliver scalable and innovative data solutions.
• Participate in code reviews, ensure best practices, and contribute to a culture of continuous improvement.

Benefits

• Health Insurance
• Vision Insurance
• Dental Insurance
• Life and Disability Insurance
• Flexible Spending and Health Savings Accounts
• Employee Assistance Program
• 401(k) plan with Company Match
• Paid Time Off (PTO)
• Paid Holidays, Bereavement, and Jury Duty
• Paid Pregnancy/Parental leave
• Paid Military Leave
• Tuition Reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees