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Entry Level Power Bi Developer Jobs in Michigan (NOW HIRING)

Senior Robotics Data Engineer - Only W2

Warren, MI · On-site

$99K - $135K/yr

Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services) Key Responsibilities: · Design and implement scalable data pipelines for large-scale ...

What You'll do * Collaborate with engineers, data scientists, and stakeholders to deliver ... Familiarity with visualization tools (Power BI, Databricks Dashboard) to effectively communicate ...

Azure Data Architect

Detroit, MI · On-site

$58 - $75.75/hr

Experience designing and implementing Power BI solutions and semantic models. * Strong understanding of data integration, ETL/ELT, data modeling, and data engineering patterns. * Experience with ...

Strong programming skills in Python with the ability to develop, troubleshoot, and optimize software solutions. * Experience using Power BI (including DAX and Power Query) and Microsoft Excel to ...

Strong programming skills in Python with the ability to develop, troubleshoot, and optimize software solutions. * Experience using Power BI (including DAX and Power Query) and Microsoft Excel to ...

To develop initial Netvibes dashboards, connect to relevant engineering data sources, reduce manual ... Power BI, or similar platforms. • Experience with APIs, databases, database queries or data ...

New

$123K/yr

Digital Engineer Are you ready to help transform manufacturing operations through digital solutions ... Hands-on experience with data analysis, reporting, or visualization tools such as Power BI, SQL ...

Knowledge of Power BI. * Interest in business intelligence, digital transformation, artificial ... COM US Facts about the job Benefits: Entry level: Internship Part- / Full-time: Part Time ...

Showing results 21-40

Entry Level Power Bi Developer information

See Michigan salary details

$25.7K

$87.4K

$210.5K

How much do entry level power bi developer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for entry level power bi developer in Michigan is $87,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $92,400.00 per year, depending on experience, location, and employer.

What is an entry level Power BI developer?

An Entry Level Power BI Developer is a professional who uses Microsoft Power BI to create data visualizations, dashboards, and reports to help organizations make data-driven decisions. They typically work with business analysts and data engineers to collect, transform, and analyze data from various sources. This role is ideal for individuals new to business intelligence and data analytics, usually requiring basic knowledge of Power BI, data modeling, and DAX (Data Analysis Expressions). Entry level developers often support senior team members and gain hands-on experience through real-world projects.

What do entry level Power BI developers do?

As an Entry Level Power BI Developer, you will often start by supporting data analysts and senior developers with tasks like cleaning and preparing data, creating basic reports and dashboards, and updating existing Power BI solutions. You'll likely collaborate closely with business users to understand reporting requirements and help troubleshoot data visualization issues. Over time, you'll gain experience in automating data refreshes, integrating new data sources, and optimizing dashboards, all while learning best practices in data governance and visualization.

What skills and qualifications are needed to thrive as an entry level Power BI developer?

To thrive as an Entry Level Power BI Developer, you need a solid understanding of data analysis, data visualization, and basic SQL or database concepts, often supported by a degree in computer science, information systems, or related fields. Familiarity with Power BI, DAX (Data Analysis Expressions), and Microsoft Excel is typically required, and obtaining a Microsoft Power BI certification can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help you interpret business requirements and present insights clearly. These skills ensure you can transform raw data into actionable reports, supporting informed decision-making within organizations.

What is the difference between Entry Level Power Bi Developer vs Data Analyst?

AspectEntry Level Power Bi DeveloperData Analyst
Required CredentialsBasic knowledge of Power BI, SQL, and data visualization toolsProficiency in Excel, SQL, and data analysis techniques
Work EnvironmentTypically in IT or Business Intelligence teams, focusing on dashboard developmentOften in business units, focusing on data interpretation and reporting
Employer & Industry UsageUsed across industries for reporting and dashboard creationUsed across industries for data interpretation and decision support
Search & Comparison IntentUnderstanding entry-level Power BI roles and skillsComparing Power BI development with general data analysis roles

The main difference is that Entry Level Power Bi Developers focus on creating dashboards and reports using Power BI, often with some SQL knowledge, while Data Analysts perform broader data interpretation and analysis, sometimes using Power BI as a tool. Both roles are essential in data-driven organizations but differ in scope and daily tasks.

What are the most commonly searched types of Power Bi Developer jobs in Michigan?

The most popular types of Power Bi Developer jobs in Michigan are:

What are popular job titles related to Entry Level Power Bi Developer jobs in Michigan?

For Entry Level Power Bi Developer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Entry Level Power Bi Developer jobs in Michigan look for?

The top searched job categories for Entry Level Power Bi Developer jobs in Michigan are:

Infographic showing various Entry Level Power Bi Developer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $87,391 per year, or $42 per hour.

Senior Robotics Data Engineer - Only W2

Warren, MI • On-site

Saransh Inc
IT Services • 51 - 200 employees

$99K - $135K/yr

Contractor

Re-posted 4 days ago


Job description

Role: Senior Robotics Data Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotics Data Engineer (ML/AI systems, Python, TensorFlow and/or PyTorch, Power BI, Azure data services)
 
Key Responsibilities:
· Design and implement scalable data pipelines for large-scale robotic datasets (vision, depth, tactile, force/torque).
· Build infrastructure for high-throughput data capture from real robots and simulation environments.
· Develop and deploy semi-supervised/self-supervised data labeling workflows to minimize manual annotation costs.
· Enable simulation-to-real (Sim2Real) data workflows, including domain randomization and synthetic data generation.
· Manage data versioning, metadata, and dataset governance to support model training, evaluation, and regression testing.
· Collaborate with Robotics Perception, Grasping AI, and Simulation teams to define data requirements and KPIs.
· Establish data quality metrics that correlate with perception and grasping performance.
 
Required Qualifications:
· Minimum 3 years of experience in data engineering, machine learning systems, robotics, or related fields.
· Master’s degree in Engineering, Computer Science, Data Science, or equivalent practical experience.
· Proven experience building production-grade data pipelines for ML/AI systems.
· Strong hands-on experience with Python-based data tooling.
· Experience working with large, complex, multimodal datasets.
 
Preferred Qualifications:
· Direct experience supporting robotics perception, grasping, or manipulation AI.
· Familiarity with robotics simulation platforms (e.g., Isaac Sim) and synthetic data generation.
· Experience with data labeling tools and annotation workflows at scale.
· Hands-on knowledge of TensorFlow and/or PyTorch from a data systems perspective.
· Experience with Microsoft data ecosystems (Power BI, Azure data services).