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Business Analyst Sql R Python Jobs in Ottawa, KS

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

... analytics technologies in on-premises, Kubernetes, and cloud environments. The ideal candidate ... SQL Server. - Contribute to Infrastructure as Code, configuration management, and deployment ...

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

... analytics technologies in on-premises, Kubernetes, and cloud environments. The ideal candidate ... SQL Server. - Contribute to Infrastructure as Code, configuration management, and deployment ...

Sr Industrial Engineer

Olathe, KS · On-site

$41.25 - $56.50/hr

... business requirements, budgets and staffing needs * May lead the implementation of analytics ... Programming knowledge preferred (Python, R, C++) * Experience in a customer facing role defining ...

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

... analytics technologies in on-premises, Kubernetes, and cloud environments. The ideal candidate ... SQL Server. - Contribute to Infrastructure as Code, configuration management, and deployment ...

DevOps Engineer

Lawrence, KS · On-site

$49.75 - $68.25/hr

... analytics technologies in on-premises, Kubernetes, and cloud environments. The ideal candidate ... SQL Server. - Contribute to Infrastructure as Code, configuration management, and deployment ...

Sr Industrial Engineer

Olathe, KS · On-site

$41.25 - $56.50/hr

... business requirements, budgets and staffing needs * May lead the implementation of analytics ... Programming knowledge preferred (Python, R, C++) * Experience in a customer facing role defining ...

Showing results 41-60

Business Analyst Sql R Python information

See Ottawa, KS salary details

$15

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

As of Aug 17, 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.

What job categories do people searching Business Analyst Sql R Python jobs in Ottawa, KS look for?

The top searched job categories for Business Analyst Sql R Python jobs in Ottawa, KS are:

What cities near Ottawa, KS are hiring for Business Analyst Sql R Python jobs?

Cities near Ottawa, KS with the most Business Analyst Sql R Python job openings:

AI Training Specialist - Life Sciences

micro1 AI

Topeka, KS • Remote

$90 - $120/hr

Part-time

Posted 21 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.