Mid Level Senior Business Intelligence Engineer Jobs
Mid level senior business intelligence engineer jobs go to engineers ready to own reporting pipelines end to end, lead data modeling decisions, and deliver insights with limited oversight. Openings run across Technology & Software, Retail, and Healthcare & Medical Services, with 44% remote or hybrid availability, and employers like Amazon, FirstService Residential, and KBR hiring at this level now.
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Showing 5 of 108+ Mid Level Senior Business Intelligence Engineer jobs
Responsibilities
- Develop, publish, and schedule interactive Power BI reports and dashboards to meet business requirements.
- Designing, developing, and maintaining data pipelines to ensure efficient data flow from various sources to the data lake (Azure Synapse).
- Implementing data integration solutions using Microsoft Fabric and Microsoft Synapse.
- Creating and managing data models and reports in Power BI.
- Automating data processes using Power Automate.
- Collaborate with various departments to understand their data needs and provide appropriate data solutions.
- Analyze complex datasets to extract actionable insights and trends.
- Maintain and optimize existing Power BI solutions to improve performance and user experience.
- Development and administration of BI tools.
- Provide technical support and troubleshooting for Power BI-related issues.
- Ensure data accuracy and integrity in all reports and dashboards.
- Stay up to date with the latest Power BI features and trends to continuously improve data solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Business Analytics, or a related field.
- Minimum of 5 years of experience in BI development and data analytics, with a focus on Power BI is required.
- Strong understanding of data warehousing concepts and SQL querying is required.
- Experience with DAX, Power Query, and other data modeling languages is preferred.
- Experience with data modeling, ETL processes, and data migration is required.
- Experience with data visualization best practices is required.
- Excellent SQL skills and familiarity with other data query languages is required.
- Proficiency in Microsoft Fabric, Microsoft Synapse, Power BI, and Power Automate is preferred.
- Proven ability to handle large datasets and optimize data workflows.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Ability to work independently and in a team environment.
- High level of analytical and critical thinking skills.
Certifications Required
- Microsoft Certified: Data Analyst Associate
- Microsoft Certified: Power BI Data Analyst
- Any additional certification in data analytics or BI tools is advantageous
Responsibilities
- Develop, publish, and schedule interactive Power BI reports and dashboards to meet business requirements.
- Designing, developing, and maintaining data pipelines to ensure efficient data flow from various sources to the data lake (Azure Synapse).
- Implementing data integration solutions using Microsoft Fabric and Microsoft Synapse.
- Creating and managing data models and reports in Power BI.
- Automating data processes using Power Automate.
- Collaborate with various departments to understand their data needs and provide appropriate data solutions.
- Analyze complex datasets to extract actionable insights and trends.
- Maintain and optimize existing Power BI solutions to improve performance and user experience.
- Development and administration of BI tools.
- Provide technical support and troubleshooting for Power BI-related issues.
- Ensure data accuracy and integrity in all reports and dashboards.
- Stay up to date with the latest Power BI features and trends to continuously improve data solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Business Analytics, or a related field.
- Minimum of 5 years of experience in BI development and data analytics, with a focus on Power BI is required.
- Strong understanding of data warehousing concepts and SQL querying is required.
- Experience with DAX, Power Query, and other data modeling languages is preferred.
- Experience with data modeling, ETL processes, and data migration is required.
- Experience with data visualization best practices is required.
- Excellent SQL skills and familiarity with other data query languages is required.
- Proficiency in Microsoft Fabric, Microsoft Synapse, Power BI, and Power Automate is preferred.
- Proven ability to handle large datasets and optimize data workflows.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
- Ability to work independently and in a team environment.
- High level of analytical and critical thinking skills.
Certifications Required
- Microsoft Certified: Data Analyst Associate
- Microsoft Certified: Power BI Data Analyst
- Any additional certification in data analytics or BI tools is advantageous
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Find JobsMid Level Senior Business Intelligence Engineer Job Market
Who's Hiring
- Amazon10
- FirstService Residential3
- KBR2
- Groundswell2
- JPMorganChase2
Top Industries Hiring
- Technology & Software21
- Retail10
- Healthcare & Medical Services9
- E-Commerce & Online Marketplaces9
- Insurance6
Mid Level Senior Business Intelligence Engineer Jobs: Frequently Asked Questions
How do I get a mid level senior business intelligence engineer job?
Position yourself around ownership, not just execution. Highlight projects where you defined the data model, built the dashboard from scratch, or drove a business decision with your analysis. Emphasize tools you know deeply, such as SQL, dbt, or Tableau, and show at least one example of cross-functional collaboration. Tailor your resume to reflect impact, not just tasks completed.
Which companies hire mid level senior business intelligence engineers?
Companies hiring mid level senior business intelligence engineers right now include Amazon, FirstService Residential, and KBR, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a mix of large enterprises with dedicated analytics teams and mid-size technology and retail companies scaling their data infrastructure.
Are there remote mid level senior business intelligence engineer jobs?
Yes, remote work is well established at this level. About 44% of mid level senior business intelligence engineer openings are remote or hybrid as of August 2026, reflecting strong employer comfort hiring experienced BI engineers who can deliver independently. Hybrid arrangements are common at companies that expect some on-site collaboration with product or data science teams.
How do I move up to a mid level senior business intelligence engineer role?
The path from entry level to mid level is built through deepening technical ownership and demonstrating measurable impact. Focus on moving from completing assigned tasks to proposing and leading your own analyses. Build fluency in end-to-end pipeline work, earn credibility by presenting findings to stakeholders, and take on at least one project where your output directly influenced a business decision.
Which industries hire the most mid level senior business intelligence engineers?
Mid Level senior business intelligence engineer roles concentrate in Technology & Software, Retail, and Healthcare & Medical Services, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at this level because they generate high volumes of operational and customer data that require experienced engineers to structure, analyze, and surface into actionable reporting for business teams.