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Sql Python Excel Power Bi Tableau Jobs in Ohio (NOW HIRING)

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

Support Power BI, Tableau, and enterprise reporting platforms. * Develop automation processes ... Strong SQL development skills. * Experience designing ETL pipelines. * Experience with relational ...

Flexjet

Aircraft Reliability Analyst

Cleveland, OH

Knowledge of Excel and other Microsoft Office programs * Knowledge of Structured Query Language (SQL) * Knowledge of data visualization tools (e.g., Power Bi, Tableau) * Knowledge of VBA and Python ...

Flexjet

Aircraft Reliability Analyst

Cleveland, OH · On-site

Knowledge of Excel and other Microsoft Office programs * Knowledge of Structured Query Language (SQL) * Knowledge of data visualization tools (e.g., Power Bi, Tableau) * Knowledge of VBA and Python ...

Flexjet

Aircraft Reliability Analyst

Cleveland, OH

Knowledge of Excel and other Microsoft Office programs * Knowledge of Structured Query Language (SQL) * Knowledge of data visualization tools (e.g., Power Bi, Tableau) * Knowledge of VBA and Python ...

Huntington

Site Reliability Engineer (SRE) - II

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Scripting/automation skills (e.g., PowerShell, Python) to streamline reporting and evidence ... Tableau (required); Excel/Power BI Security/PAM: CyberArk or equivalent Ability to work ...

ITBrainiac

BI Developer

Cincinnati, OH

Microsoft SQL Server, Power BI, SSRS, SSIS, ETL Additional Information All your information will be kept confidential according to EEO guidelines.

ITBrainiac

BI Developer

Cincinnati, OH · On-site

Microsoft SQL Server, Power BI, SSRS, SSIS, ETL Additional Information All your information will be kept confidential according to EEO guidelines.

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Proficiency in SQL and one programming language (Python / PySpark preferred). * Experience in ETL ... Knowledge of data visualization tools (Power BI, Tableau). * Experience in US healthcare domain ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Ohio

Sql Python Excel Power Bi Tableau information

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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Sql Python Excel Power Bi Tableau jobs near you

Health IT Data Engineer

A-TEK Inc.

Continental, OH • Remote

$125K - $135K/yr

Other

Re-posted 6 days ago

Job description

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate will work closely with analysts, data scientists, and application teams to deliver scalable, secure, and high-quality data solutions. This is a remote position requiring all work be performed in the continental United States. US Citizenship is required for consideration for this position.

Essential Responsibilities

  • Design and develop enterprise data pipelines and ETL processes.
  • Develop logical and physical data models.
  • Integrate data from multiple enterprise systems.
  • Implement data validation and quality control procedures.
  • Optimize database and reporting performance.
  • Support Power BI, Tableau, and enterprise reporting platforms.
  • Develop automation processes supporting data ingestion and transformation.
  • Ensure compliance with Government security and privacy requirements.
  • Troubleshoot data integration issues and performance bottlenecks.
  • Support cloud-based analytics environments and data modernization initiatives.
  • Prepare technical documentation and data architecture diagrams.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
  • Minimum seven (7) years of data engineering experience.
  • Strong SQL development skills.
  • Experience designing ETL pipelines.
  • Experience with relational databases and data warehousing.
  • Experience supporting enterprise reporting platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience.
  • Power BI and Tableau development experience.
  • Healthcare data integration experience.
  • Knowledge of HL7 or FHIR standards.

Compensation

Expected Salary Range: $125,000-$135,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

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