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Sql Python Excel Power Bi Tableau Jobs in Carney, MI

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Sql Python Excel Power Bi Tableau information

See Carney, MI salary details

$10

$52

$72

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

As of Aug 3, 2026, the average hourly pay for sql python excel power bi tableau in Carney, MI is $52.42, according to ZipRecruiter salary data. Most workers in this role earn between $43.22 and $61.83 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 is a sql python excel power bi tableau job?

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.

Is Power BI still in demand in 2026?

Power BI remains a highly in-demand skill for data analysts and business intelligence professionals in 2026, as organizations continue to prioritize data visualization and reporting tools. Proficiency in Power BI, along with skills in SQL, Python, and Excel, enhances job prospects in data-driven roles, with demand expected to grow as companies adopt advanced analytics and automation solutions.

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.
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What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Carney, MI look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Carney, MI are:
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Sql Python Excel Power Bi Tableau jobs near you
Infographic showing various Sql Python Excel Power Bi Tableau job openings in Carney, MI as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $109,039 per year, or $52.4 per hour.

Senior Reporting Power BI Developer

Team Wireless - Verizon Authorized Retailer

Escanaba, MI • Remote

$105K - $135K/yr

Full-time

Posted 4 days ago

Job description

Position Summary
Senior Reporting Power BI Developer
Department: Financial Operations
Reports to: Director of Data Analytics
Status: Full-time, exempt
Compensation: $105,000 - $135,000 per year based on performance and experience
The Senior Reporting Developer owns the data model and reporting infrastructure that the business runs on. This is a hands-on technical build role: the person in this seat designs and maintains the underlying model, governs how data flows into it, secures access, and ensures the reporting platform is accurate, performant, and scalable. The role is intentionally kept focused on the build so that day-to-day field questions and one-off requests are handled by the Reporting Analyst, allowing the Developer to protect the integrity and roadmap of the reporting environment. As the data environment evolves, including a planned move to source data from Google Cloud Platform and growing use of AI and machine learning in analytics, this role is expected to grow with it.
Key Responsibilities
  • Design, build, and maintain the core data model and semantic layer that sources from IQMetrix, RQ, and related systems.
  • Own data security, access governance, and Microsoft Fabric capacity and storage for the reporting environment.
  • Build and optimize data integration and transformation processes to consolidate data from multiple sources into a single trusted model.
  • Develop, tune, and maintain reports and dashboards in Power BI (required core tool) against the model, ensuring fast load times and reliable refreshes.
  • Establish and enforce reporting standards, definitions, and version control so metrics are consistent across the business.
  • Validate data accuracy through reconciliation and automated checks before reports reach the field.
  • Partner with the Reporting Analyst to turn recurring business needs into durable, reusable reporting rather than one-off work.
  • Prepare for and integrate Google Cloud Platform as a data source as it comes online, extending the model to source from it.
  • Apply AI and machine learning approaches to reporting and analytics where they add value, and stay current as these capabilities expand.
  • Document the model, data sources, and transformation logic for auditability and knowledge sharing.
Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or equivalent practical experience.
  • 5+ years in BI development, data engineering, or a related technical reporting role.
  • Strong SQL and data modeling skills; experience with dimensional / semantic modeling.
  • Hands-on expertise with Power BI (Power Query, DAX) is required; experience with Microsoft Fabric strongly preferred.
  • Familiarity with the Azure data ecosystem preferred (Microsoft Fabric and Power BI Service run on Azure).
  • Familiarity with Google Cloud Platform / BigQuery, or the ability to ramp on it quickly, as it will become a data source.
  • Exposure to AI / machine learning applied to analytics, or clear interest in developing it.
  • Experience with data governance, access control, and platform capacity management.
  • Retail, wireless, or multi-location operations experience a plus; familiarity with IQMetrix / RQ a strong plus.
Certifications
Power BI proficiency is required. The following certifications are preferred and can be pursued in role:
  • Microsoft Certified: Power BI Data Analyst Associate (PL-300): preferred.
  • Google Cloud Professional Data Engineer: preferred, in view of the planned GCP data source.
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600): a plus.
Success in this role looks like
The model is trusted and stable, reports load quickly and refresh reliably, access is secure and well-governed, and the Developer's time stays on building durable capability rather than answering day-to-day requests.

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