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Data Analyst Python Sql Jobs in Kansas (NOW HIRING)

Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines ... Scripting experience (e.g., Python) for data transformation and automation. Job Expectations:

Experience using SQL and Python and/or R for data management and analysis. * Previous experience working with Tableau or other equivalent data visualization software. * Previous experience working ...

Experience using SQL and Python and/or R for data management and analysis. * Previous experience working with Tableau or other equivalent data visualization software. * Previous experience working ...

Write SQL queries to extract, join, validate, and analyze marketing data from multiple sources ... Experience with Python or R for data analysis or automation. * Experience working with cloud-based ...

Write SQL queries to extract, join, validate, and analyze marketing data from multiple sources ... Experience with Python or R for data analysis or automation. * Experience working with cloud-based ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with ... Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with ... Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with ... Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with ... Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or ...

... Data Analyst to process and maintain high-quality aeronautical data. The role involves editing ... SQL Server database using the Structured Query Language (SQL) Qualifications : Required : • ...

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Data Analyst Python Sql information

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

Infographic showing various Data Analyst Python Sql job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Engineering Data Analyst

Wichita, KS • On-site

$50 - $55/hr

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

Immediate need for a talented Engineering Data Analyst. This is a 06 -12 month contract opportunity with long-term potential and is located in Wichita, KS (Onsite). Please review the job description below and contact me ASAP if you are interested.


Job Diva ID: 26-26201


Pay Range: $50-55/hr. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).


Key Responsibilities;


  • Collect, clean, and process large volumes of multi-format engineering data (telemetry, test logs, simulation results, and maintenance data).
  • Build interactive dashboards and automated reports (Power BI, Tableau) to track engineering KPIs, test progress, and operational reliability.
  • Develop automated scripts (Python, R, SQL) for data ingestion pipelines, anomaly detection, and predictive modeling.
  • Partner with Stress, Systems, and Flight Test engineering teams to translate complex engineering problems into scalable analytical solutions.
  • Present statistical findings and trend analyses to program managers and chief engineers.


Key Requirements and Technology Experience:


  • Education: Bachelor of Science (BS) in Engineering, Data Science, Statistics, Computer Science, or related technical field.
  • Experience: 3+ years of data analytics experience, preferably within aerospace, industrial manufacturing, or defense environments.
  • Advanced proficiency in SQL and relational/non-relational databases.
  • Strong programming skills in Python (Pandas, NumPy, SciPy) or R for statistical data processing.
  • Hands-on expertise with visualization tools like Power BI or Tableau.
  • Experience working with engineering data structures (time-series data, MATLAB outputs, or IoT telemetry).


Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.


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