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Sql Python Excel Power Bi Tableau Jobs in Center Line, MI

Sun, Inc.

Procurement Data Analyst

Southfield, MI

Experience with BI tools (Domo, Power BI, Tableau) * Knowledge of procurement systems such as Coupa ... Familiarity with SQL or Python (Preferred) * Strong analytical and problem‑solving capabilities

Deloitte

Patient Services Technical Manager

Detroit, MI

$114K - $115K/yr

SQL, Power BI, Tableau data analytics skills The wage range for this role takes into account the ... Experience using Microsoft Suite (Word, Excel, Power Point) to develop and deliver professional ...

Eccalon, LLC

Product Manager

Detroit, MI · On-site

... Excel, Power BI, Tableau, or similar) and familiarity with PLM/ERP systems. • Strong project-management skills--ability to lead cross-functional teams, manage overlapping priorities, and hit ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Center Line, MI

Sql Python Excel Power Bi Tableau information

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$10

$52

$73

How much do sql python excel power bi tableau jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for sql python excel power bi tableau in Center Line, MI is $52.82, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $62.31 per hour, depending on experience, location, and employer.

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What are SQL, Python, Excel, Power BI, and Tableau jobs?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Center Line, MI look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Center Line, MI are:
What cities near Center Line, MI are hiring for Sql Python Excel Power Bi Tableau jobs? Cities near Center Line, MI with the most Sql Python Excel Power Bi Tableau job openings:
Sql Python Excel Power Bi Tableau jobs near you
Senior Full-Stack BI Architect / Fabric Data Engineer

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI • On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

About Us

At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you! 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions. 

Key Responsibilities 
  • Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases.  
  • Architect and develop advanced data models that reflect domain-driven design principles, aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders.  
  • Design and implement star and snowflake schemas, along with medallion schema practices, to provide flexible, high-performance data structures for analytics.  
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.  
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.  
  • Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.  
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.  
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.  
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.  
  • Mentor team members to build organizational capacity in BI and data engineering best practices.  

Requirements

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.  
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.  
  • In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.  
  • Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.  
  • Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.  
  • Strong programming skills with Spark Python for advanced data processing and analytics.  
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.  
  • A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.  
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.  
  • Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.  

Benefits

  • Competitive compensation tailored to senior-level expertise.  
  • Opportunities to shape data strategy and lead transformative BI projects.  
  • Ongoing professional development through advanced training and certifications.  
  • A supportive, innovative culture that values diversity, inclusion, and creativity.  
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

If you're ready to lead the next evolution of business intelligence-harnessing the power of medallion architecture, domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success. 

Apply