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Business Analyst Sql R Python Jobs in Ottawa, KS

Teradata Corporation (SE)

Sr Staff Software Engineer

Topeka, KS · On-site

$156.40 - $234.70/hr

  • Medical

  • Life

  • Retirement

Teradata delivers real business value with AI. What You'll Do As a Sr. Staff Software Engineer on ... Deep expertise in C/C++, with strong proficiency in Java, Python, R, and SQL. * Solid Computer ...

University of Kansas

IT Engineer

Lawrence, KS · On-site

Analyze complex system requirements and develop effective technical solutions. * Collaborate on the ... PL/SQL), ArcGIS Enterprise * Desktop development environments: Python, Java, C# * Frameworks:

Garmin

Aviation Pilot Data Analyst

Olathe, KS · On-site

... SQL Server database using the Structured Query Language (SQL) Qualifications : Required : • ... business needs • Demonstrates industry standards knowledge • Demonstrate great typing skills ...

Garmin

Senior C# Software Engineer - Map Data

Olathe, KS · On-site

$115K - $152K/yr

... SQL Server databases • Experience developing production-quality software in Python • Experience using machine learning, statistical analysis, or data mining techniques to derive insights or ...

Johnson County Kansas

Security Analyst III

Olathe, KS · Hybrid

  • Retirement

Work with end users to address business functionality needs while ensuring secure methodologies ... Analytical skills, including the ability to research, interpret data, conceptualize data, analyze ...

Johnson County Kansas

Security Analyst III

Olathe, KS · On-site

$51.62 - $77.43/hr

  • Retirement

Work with end users to address business functionality needs while ensuring secure methodologies ... Analytical skills, including the ability to research, interpret data, conceptualize data, analyze ...

Garmin International, Inc.

Senior Data Engineer

Olathe, KS · On-site

$100K - $136K/yr

Demonstrates broad understanding of Garmin's business model, including various departments and is ... In-depth knowledge of Airflow, Kafka, Star Schema Modeling, Python, SQL, Streamlit and pySpark

PSI Services LLC

Senior QA Analyst

Olathe, KS · On-site

$115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

They also work closely with the solutions and product teams to ensure business requirements are ... SVN, Jira. * Experience with RDBMS and SQL, ISTQB principles, testing and debugging in multiple ...

PSI Services LLC

Senior QA Analyst

Olathe, KS · Hybrid

$115K/yr

They also work closely with the solutions and product teams to ensure business requirements are ... SVN, Jira. * Experience with RDBMS and SQL, ISTQB principles, testing and debugging in multiple ...

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How much do business analyst sql r python jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for business analyst sql r python in Ottawa, KS is $41.71, according to ZipRecruiter salary data. Most workers in this role earn between $31.30 and $52.21 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

How do business analysts with SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

What are the key skills and qualifications needed to thrive as a business analyst with SQL, R, and Python expertise?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

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Data Scientist 2

Garmin International, Inc.

Olathe, KS • On-site

Full-time

Posted 29 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

14th of 159 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.
Essential Functions
  • Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources
  • Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts
  • Design, implement, and refine predictive models using machine learning and statistical methodologies
  • Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations
  • Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency
  • Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance
  • Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment
  • Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality
  • Create and present compelling data visualizations and reports using advanced graphics and visualization tools
  • Identify and leverage both internal and external datasets to drive innovation and support business solutions
  • Contribute to the development of custom machine learning models and algorithms across diverse datasets
  • Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights
  • Support the definition of project scope and business expectations based on data-driven insights
  • Provide mentorship and share best practices with junior team members under the guidance of senior staff
  • Participate in peer reviews and contribute to the continuous improvement of team processes
  • Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies
  • Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 1 year of relevant experience
  • Experience using systems such as SQL, Python, or R
  • Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Demonstrated understanding of advanced descriptive and inferential statistics
  • Demonstrates expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others
  • Driven problem solver with proven success in solving difficult problems
  • Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications
  • Experience with structured database management systems
  • Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)
  • Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows
  • Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases
  • Understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Benefits

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