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Business Analyst Sql R Python Jobs in Round Rock, TX

Data Analyst

Austin, TX ยท On-site

... for business intelligence, performance, clinical and operational analytics for Central Health ... Responsibilities-Develop and maintain complex SQL and/ or Python queries to retrieve, join, and ...

... for business intelligence, performance, clinical and operational analytics for Central Health ... complex SQL and/ or Python queries to retrieve, join, and summarize data from multiple sources ...

... for business intelligence, performance, clinical and operational analytics for Central Health ... Responsibilities-Develop and maintain complex SQL and/ or Python queries to retrieve, join, and ...

Data Analyst

Austin, TX ยท On-site +1

... for business intelligence, performance, clinical and operational analytics for Central Health ... Responsibilities -Develop and maintain complex SQL and/ or Python queries to retrieve, join, and ...

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Horton, Inc. is currently looking for a Business Change Analyst . The right candidate will work ...

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Horton, Inc. is currently looking for a Business Change Analyst . The right candidate will work ...

D.R. Horton, Inc., the largest homebuilder in the U.S., was founded in 1978 and is a publicly ... Horton, Inc. is currently looking for a Business Change Analyst . The right candidate will work ...

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Business Analyst Sql R Python information

See Round Rock, TX salary details

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

As of Jul 15, 2026, the average hourly pay for business analyst sql r python in Round Rock, TX is $44.23, according to ZipRecruiter salary data. Most workers in this role earn between $33.17 and $55.38 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

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.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

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.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing 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.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Senior Technical Business Analyst w2

Siritech Solutions Corp

Austin, TX โ€ข On-site

Full-time

Re-posted 12 days ago


Job description

We are seeking an experiencedSenior Technical Business Analystto support large-scalelegacy-to-web application modernization initiatives. The ideal candidate will have strong experience analyzing legacy systems, gathering business and technical requirements, and collaborating with development teams working in.NET and SQL environments.

This is a highly visible role requiring strong stakeholder communication, modernization strategy experience, and the ability to bridge business and technical teams effectively.

Key Responsibilities
Analyze legacy systems and support modernization initiatives
Gather, document, and manage business/functional/technical requirements
Translate legacy application behavior into modern web-based requirements
Work closely with .NET developers and SQL/database teams
Facilitate stakeholder meetings and consensus building
Perform workflow analysis and identify modernization opportunities
Support project coordination, risk identification, and task tracking
Create clear, complete, and testable documentation
Validate implemented solutions and ensure business alignment
Required Skills & Experience

12+ years of experience in:

  • Legacy system analysis & modernization
  • SDLC for web-based applications
  • Requirements elicitation & documentation
  • Stakeholder communication & facilitation
  • SQL data models & system integrations
  • Cross-functional technical/business collaboration
  • Gap analysis and solution recommendations
  • Project coordination and tracking
Preferred Qualifications
- Experience converting legacy systems into modern web applications
- Experience working with .NET development teams and SQL databases
- PM/BA experience preferred
- Government or regulated environment experience preferred
- PMP, PMI-PBA, CBAP, or similar certification preferred
- Bachelors degree in Computer Science, Information Systems, Business, or related field preferred
Technologies
\' .NET
\' SQL
\' Legacy System Modernization
\' SDLC
\' Web Application Development

Interested candidates or recruiters please send resumes ASAP. Local candidates only.