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Sql Python Excel Power Bi Tableau Jobs in Wichita, KS

Reli Group Inc

Power BI Intern

Wichita, KS · On-site

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Reli Group Inc

Power BI Intern

Wichita, KS

$15/hr

Clean, transform, and analyze large datasets from various sources (Excel, SQL, SharePoint, etc ... Exposure to other data visualization tools (e.g., Tableau) preferred * Experience with Microsoft ...

Koch

Business Data Analyst

Wichita, KS · On-site

Exposure to data visualization tools such as Power BI, Tableau, or similar platforms ... Familiarity with SQL, Python, or other analytics tools * Demonstrated economic thinking or ability ...

NetApp

Global Service Logistics Planner

Wichita, KS · On-site

Strong capabilities in data manipulation and visualization tools (e.g., advanced Excel, Power BI, Tableau) to analyze complex shipment and usage data. Education: Bachelor's degree in Supply Chain ...

Hyspeco, Inc.

Power Platform Administrator

Wichita, KS

$80K/yr

... BI, with demonstrated experience in Microsoft Fabric, Power Apps, or Power Automate * Strong working knowledge of SQL and relational database concepts, including writing and troubleshooting queries ...

Spirit AeroSystems

Associate Staff Analyst

Wichita, KS

$55K - $73K/yr

Experience using Power BI, Tableau, SQL, Cognos, Power Query, or similar business intelligence ... Experience utilizing Microsoft Excel, including PivotTables, advanced formulas, Power Query, charts ...

Spirit AeroSystems

Associate Staff Analyst

Wichita, KS · On-site

$61K - $80K/yr

Utilizes advanced reporting tools, Microsoft Excel, and business intelligence applications to ... Experience using Power BI, Tableau, SQL, Cognos, Power Query, or similar business intelligence ...

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

As of Sep 15, 2026, the average hourly pay for sql python excel power bi tableau in Wichita, KS is $50.31, according to ZipRecruiter salary data. Most workers in this role earn between $41.49 and $59.38 per hour, depending on experience, location, and employer.

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.

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 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.

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.

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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 Wichita, KS as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $104,651 per year, or $50.3 per hour.

Data Analyst -- Quality Engineering Analytics

Wichita, KS • On-site

Artiminds
See more jobs at Artimindsexternal

Other

Posted 15 days ago

Job description

We are seeking a detail-oriented and analytical Data Analyst to support a Quality Engineering team through advanced data analysis, reporting, and scorecard development. This role works with quality datasets to generate actionable insights, identify trends, and support leadership decision-making through executive dashboards and analytics.

Key Responsibilities 1. Data Collection & Preparation
  • Partner with client stakeholders to gather data from internal systems
  • Validate, cleanse, and preprocess datasets for accuracy, completeness, and consistency
  • Structure datasets for multi-dimensional analysis (time period, program/area, severity level, employee attributes)
2. Data Analysis & Insights
  • Perform detailed analysis across quality metrics and defect data
  • Conduct month-over-month and year-over-year comparisons to surface patterns and deviations
  • Generate weekly and monthly trend insights
3. Trend Analysis & Reporting
  • Build analytical models and recurring reports
  • Run comparative analysis across time periods (monthly, quarterly, annual) and organizational segments (business units, functions, tenure groups)
  • Align reporting and scorecard formats to enterprise or site-level frameworks (e.g., BCA or equivalent)
  • Standardize KPIs, metric definitions, and reporting templates so they scale across multiple locations
  • Develop executive-level dashboards using Excel, Power BI, Tableau, or PowerPoint
  • Deliver trend charts, heatmaps and distribution analyses, and leadership-ready insight summaries
  • Incorporate stakeholder feedback to refine analysis, dashboards, and outputs
  • Expand analytics scope with new metrics, dimensions, or predictive insights
Required Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Engineering, or a related field
  • 3–7 years in data analysis, reporting, or analytics
  • Advanced Excel and SQL; Python or R preferred
  • Power BI and/or Tableau
  • Hands‑on experience with large datasets, data cleansing, and trend analysis
Preferred Qualifications
  • Manufacturing or aerospace domain analytics
  • Comfort with both structured and unstructured data sources
Key Skills
  • Strong analytical and problem-solving ability
  • Data storytelling and executive communication
  • Attention to detail and data accuracy
  • Stakeholder management and collaboration
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