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Bi Developer Jobs in Novi, MI (NOW HIRING)

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives. Designs, develops ...

Ford Motor Company

BI Consultant

Dearborn, MI · On-site

$138K - $184K/yr

BI Consultant - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ... Master's degree or foreign equivalent in Computer Engineering, Computer Science or a related field ...

Ford Motor Company

BI Consultant

Dearborn, MI

$138K - $184K/yr

Master's degree or foreign equivalent in Computer Engineering, Computer Science or a related field ... BI Consultant - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio ...

Megan soft Inc

BI Data Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

We have a job opportunity of a Role BI Data Analyst with given on W2 . Please forward updated ... Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL ...

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Bi Developer information

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How much do bi developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for bi developer in Novi, MI is $50.46, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $57.74 per hour, depending on experience, location, and employer.

Is BI developer a good career?

A BI developer designs and implements data analysis solutions using tools like SQL, Power BI, or Tableau, making it a valuable role in data-driven organizations. The career offers opportunities for growth, competitive salaries, and requires skills in data modeling, programming, and business analysis. It is suitable for individuals interested in technology, analytics, and problem-solving.

What are the key skills and qualifications needed to thrive as a BI Developer, and why are they important?

To thrive as a BI Developer, you need expertise in data modeling, SQL, and data warehousing concepts, often supported by a bachelor’s degree in computer science or a related field. Proficiency with BI tools such as Power BI, Tableau, or SSRS, as well as experience with ETL processes and possibly certifications like Microsoft Certified: Data Analyst Associate, is highly valuable. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business needs into actionable insights. These skills and qualifications enable BI Developers to deliver accurate reporting and analytics that drive informed business decisions.

What are BI Developers?

BI Developers, or Business Intelligence Developers, are IT professionals who design, develop, and maintain business intelligence solutions such as dashboards, data visualizations, and reporting systems. They work with data warehouses, databases, and analytics tools to help organizations make data-driven decisions. BI Developers often use technologies like SQL, Power BI, Tableau, or SSRS to transform raw data into actionable insights. Their work supports business operations by providing timely and accurate information for strategic planning.

What Is a BI Developer?

A business intelligence (BI) developer takes data and turns it into knowledge that a business or organization can use to carry out its goals. Their job is to use their data analysis skills and technical experience to develop solutions to problems, create technical reports, and make recommendations. By creating a data model or using other analytical tools, these developers can help increase productivity, provide improvements, or cut costs.

How much do BI developers earn?

BI developers typically earn a median salary ranging from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, data visualization tools, and certifications may earn higher salaries. Entry-level positions generally start lower, while senior roles can exceed $120,000.

What jobs make $1,000,000 a year?

In the context of a BI Developer, earning $1,000,000 annually is uncommon and typically involves executive-level roles such as Chief Data Officer or Chief Technology Officer, or highly successful entrepreneurs in data-related businesses. These positions often require extensive experience, leadership skills, and sometimes equity or profit-sharing arrangements. Most BI Developers earn significantly less, with top salaries reaching several hundred thousand dollars, but reaching the million-dollar mark usually involves senior management or ownership stakes.

What are some key challenges BI Developers face when integrating data from multiple sources?

BI Developers often encounter challenges such as data inconsistency, varying data formats, and duplicate records when integrating data from different sources. Ensuring data quality and accuracy requires strong ETL (Extract, Transform, Load) skills and attention to detail. Collaborating closely with database administrators and business analysts is crucial to understand data structures and business requirements, which helps in designing effective data integration solutions. Overcoming these challenges not only improves reporting accuracy but also enhances decision-making across the organization.

What is the difference between Bi Developer vs Data Analyst?

AspectBi DeveloperData Analyst
Required SkillsSQL, ETL, BI tools (Power BI, Tableau), data modelingSQL, Excel, data visualization, statistical analysis
Work EnvironmentBusiness intelligence teams, IT departmentsData teams, business units, consulting firms
CertificationsPower BI, Tableau certifications, SQL certificationsMicrosoft Excel, SAS, Tableau certifications
Industry UsageDeveloping dashboards, reporting solutionsData interpretation, reporting, insights generation

While both Bi Developers and Data Analysts work with data and reporting tools, Bi Developers focus on creating and maintaining business intelligence solutions like dashboards and data models. Data Analysts primarily interpret data, generate reports, and provide insights to support decision-making. The roles often overlap but differ in technical focus and scope.

More about Bi Developer jobs
What are the most commonly searched types of Bi Developer jobs in Novi, MI? The most popular types of Bi Developer jobs in Novi, MI are:
What are popular job titles related to Bi Developer jobs in Novi, MI? For Bi Developer jobs in Novi, MI, the most frequently searched job titles are:
What job categories do people searching Bi Developer jobs in Novi, MI look for? The top searched job categories for Bi Developer jobs in Novi, MI are:
Bi Developer jobs near you
Infographic showing various Bi Developer job openings in Novi, MI as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $104,967 per year, or $50.5 per hour.
Data / BI Architect

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

Contractor

Posted 9 days ago

Job description

Role: Data / BI Architect

Location: Pontiac, MI

Duration: 12Months +

About role:

Data Business Intelligence (BI) Architect role is a hybrid of data architecture, engineering & business strategy, bridging the gap between tech data solutions & business objectives. Designs, develops & maintains the overall data strategy ensuring the County data in scope is accessible, reliable & secure for analysis and decision-making. The right candidate has experience in architecting data solutions that can be used for descriptive, diagnostic, predictive & prescriptive analytic solutions.

KEY RESPONSIBILITIES:

•       Stakeholder Collaboration: Work closely with business & IT stakeholders to gather req & translate business needs into tech specifications, including identification of data sources.

•       Data Arch Design & Data Modeling: Architect & implement scalable, secure & efficient data solutions, including data warehouses, data lakes, and/or data marts.

•       Design conceptual, logical & physical data models.

•       Tool and Platform Selection: Evaluate, recommend & implement tools aligned with recommended architecture, including visualization tools aligned with business needs.

•       ETL/ELT Pipeline Mgt: Design, develop & test data pipelines, integrations to source mgt & ETL / ELT processes to move data from various sources into the data warehouse.

•       Data Catalog & Metadata Mgt: Design, create & maintain an enterprise-wide data catalog, automating metadata ingestion, establishing data dictionaries, and ensuring that all data assets are properly documented & tagged.

•       Data Governance and Discovery: Enforce data governance policies through the data catalog, ensuring data quality, security & compliance.

•       Enable self-service data discovery for users by curating & organizing data assets in an intuitive way.

•       Performance Optimization: Monitor & optimize BI systems & data pipelines to ensure high performance, reliability & cost-effectiveness.

•       Technical Leadership: Provide technical guidance & mentorship across the organization, establishing best practices for data mgt & BI development.

Environment:

•       Role incl. defining data platform tech stack. Example tech below; not required to have experience in all.

•       Data Platforms: DW & lake concepts incl. dimensional modeling & cloud services (S3, AWS Redshift, RDS, Azure Data Lake Storage, Synapse Analytics, BigQuery, Databricks, Snowflake, Informatica);

•       Databases: SQL & relational/non-relational (SQL Server, Oracle, PostgreSQL, MongoDB);

•       BI Tools: Power BI, Business Objects, Tableau, Crystal, Looker;

•       ETL/ELT: Cloud native (AWS Glue, Azure Data Factory, Google Cloud Dataflow) & in-warehouse transform tools (Fivetran, Talend, dbt);

•       Big Data Tech: Hadoop, Spark, Kafka;

•       Programming/API: Python, Keras, Scikit-learn, R, XML;

•       ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark;

•       Modeling Tools: MS Visio, ER/Studio, PowerDesigner;

•       Source systems incl. on-prem, cloud, & SaaS;