Location/ Work Structure: Cincinnati, OH/Hybrid
Compensation: 65k-95k
Who we are:
Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help these professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities in Ohio and across the Midwest.
What You'll Do:
- Hands-on experience developing reports and dashboards in Power BI, including semantic model design, DAX development, and dataset optimization
- Experience administering or supporting Azure SQL, SQL Server, or Azure SQL Managed Instance environments, including database maintenance and security
- Experience with ETL/ELT pipeline development or administration, including Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric pipelines, or similar tools
- Experience with Dynamics 365 Data Entities and BYOD export structures
- Self-starter with strong initiative and the ability to manage tasks and communicate progress independently in a small-team environment
- Familiarity with Microsoft Fabric, including Lakehouse, Data Factory pipelines, Dataflows Gen2, and OneLake
- Exposure to Python, Spark, or other modern data engineering or scripting tools
- Interest in or hands-on experience with AI tools, chatbots, or workflow automation — particularly Microsoft Copilot Studio or similar platforms
- Familiarity with JSON data formats and integration patterns
- Experience working in engineering or manufacturing environment.
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Intelligence, Software Engineering, or a closely related field
- Demonstrated professional or internship experience in business intelligence development, with a clear track record of delivering BI solutions
- Proficiency in SQL, including writing complex queries, joins, stored procedures, and views for reporting and data transformation purposes
- Strong analytical and problem-solving skills with high attention to detail and a commitment to data quality and accuracy
- Understanding of data warehousing, dimensional modeling, and relational data modeling concepts
- Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders to translate business requirements into BI solutions
- Hands-on experience developing reports and dashboards in Power BI, including semantic model design, DAX development, and dataset optimization
- Experience administering or supporting Azure SQL, SQL Server, or Azure SQL Managed Instance environments, including database maintenance and security
- Experience with ETL/ELT pipeline development or administration, including Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric pipelines, or similar tools