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Temporary Power Bi Developer Jobs in Michigan (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 ... Power BI, Business Objects, Tableau, Crystal, Looker; • ETL/ELT: Cloud native (AWS Glue, Azure ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

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

Optimal Inc.

Data Management Specialist

Dearborn, MI · Hybrid

The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise ...

Optimal Inc.

Data Management Specialist

Dearborn, MI · On-site

The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise ...

Optimal Inc.

Data Management Specialist

Dearborn, MI · On-site

The role enables engineering teams to achieve cost-reduction objectives through actionable insights derived from engineering and cost-related data. This position requires strong Power BI expertise ...

Staffactory

Programmer Analyst 6

Lansing, MI · On-site

$58 - $63/hr

... Developer within the MDHHS Analytics and Visualization Division . This role focuses on analyzing complex datasets, generating actionable insights, and developing interactive dashboards using Power BI ...

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Temporary Power Bi Developer information

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

AspectTemporary Power Bi DeveloperTemporary Data Analyst
Required SkillsPower BI, data visualization, SQL, DAXExcel, SQL, data analysis, reporting
CertificationsPower BI certifications preferredData analysis certifications (e.g., Microsoft Data Analyst)
Work EnvironmentBusiness intelligence teams, analytics departmentsData teams, business units, reporting departments
Industry UsageFinance, marketing, operations, ITFinance, healthcare, retail, marketing

In summary, a Temporary Power Bi Developer specializes in creating and managing Power BI dashboards and reports, focusing on data visualization and BI solutions. A Temporary Data Analyst, on the other hand, performs broader data analysis tasks, often using Excel and SQL, and may not require Power BI expertise. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

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 cities in Michigan are hiring for Temporary Power Bi Developer jobs? Cities in Michigan with the most Temporary Power Bi Developer job openings:
Temporary Power Bi Developer jobs near you
Data / BI Architect

Data / BI Architect

Tech Tammina LLC

Pontiac, MI • On-site

Contractor

Re-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;