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Business Analyst Sql R Python Jobs in Saint Louis, MO

Stellar IT Group

Business Analyst

Saint Louis, MO · On-site

Write advanced SQL queries and calculations. * Translate ambiguous business problems into analytical approaches and insights. * Analyze complex data to draw conclusions and inform decision making.

Equifax, Inc.

Data Analyst

Saint Louis, MO · On-site

... business. What you'll do * Work directly with Data and Analytics professionals, IT, Sales, and ... like SQL, R, Hive, Impala, and/or Python to derive data marts to drive dashboards and ...

duvari group

Sr. Business Analyst

Bridgeton, MO · On-site

$95K/yr

This Senior IT Business Analyst role puts you at the center of custom application development, working across the full SDLC from requirements and SQL analysis to QA and UAT when needed. You will wear ...

duvari group

Sr. Business Analyst

Bridgeton, MO

$87K - $113K/yr

This Senior IT Business Analyst role puts you at the center of custom application development, working across the full SDLC from requirements and SQL analysis to QA and UAT when needed. You will wear ...

LRS

Senior Business Analyst

Saint Louis, MO

$89K - $116K/yr

Gather, analyze, and document business and technical requirements, ensuring alignment with ... in Python, JavaScript, SQL, Angular, node.js, C# or similar programming languages preferred ...

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Business Analyst Sql R Python information

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

As of Jul 10, 2026, the average hourly pay for business analyst sql r python in Saint Louis, MO is $46.12, according to ZipRecruiter salary data. Most workers in this role earn between $34.57 and $57.74 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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Business Analyst Sql R Python jobs near you
Infographic showing various Business Analyst Sql R Python job openings in Saint Louis, MO as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $95,922 per year, or $46.1 per hour.

Business Analyst

Stellar IT Group

Saint Louis, MO • On-site

Full-time

Re-posted 28 days ago

Job description

Overview:
Job Title: Business Analyst
Job Location: St. Louis, MO
Job Type: CTH
Role Summary
The Business Intelligence Analyst III leads complex analytics initiatives, designs enterprise-level dashboards, and serves as a subject matter expert for data and reporting within assigned domains. This role emphasizes strategic thinking, advanced analysis, and mentorship.
Key Responsibilities
  • Data Analysis & Models
    • Gather, clean, and analyze complex data from various sources.
    • Design complex data models and methodologies.
    • Proactively identify trends, risks, and opportunities through data analysis.
    • Partner with data engineering and architecture teams on data design decisions.
    • Provide complex data & analysis to internal teams and external consultants, auditors, and vendors.
  • Insights
    • Write advanced SQL queries and calculations.
    • Translate ambiguous business problems into analytical approaches and insights.
    • Analyze complex data to draw conclusions and inform decision making.
    • Communicate insights to Director-level stakeholders.
  • KPI/Metrics
    • Partner with Director-level stakeholders to define and document KPIs & metrics.
    • Develop corporate KPIs & metrics.
    • Prepare, deliver, and support corporate KPIs & metrics.
  • Reports & Dashboards
    • Lead the design and delivery of complex, high-impact interactive dashboards and reports.
    • Prepare, deliver, and support business critical reports.
    • Document report definitions, metrics, and refresh processes.
    • Enhance complex report delivery through automation.
  • Collaboration & Consult
    • Work with Director-level stakeholders to understand needs to define and deliver BI solutions.
    • Participate in large scale cross-functional projects that require BI input.
    • Mentor analysts and review analytical work for quality and consistency.

Education and Experience
  • BA/BS in analytics, mathematics, information systems, business or related discipline; advanced degree preferred.
  • 5-8 years of experience in BI, analytics, or data roles.

Competencies (Knowledge, Skills and Abilities)
  • Advanced SQL knowledge.
  • Advanced level in at least one BI tool and data visualizations (e.g., Power BI, Tableau).
  • Knowledge of MS Office suite including advanced level in MS Excel.
  • Advanced understanding of databases (e.g. SQL Server) and data structures.
  • Solid understanding of data modeling concepts and KPI design.
  • Advanced problem solving and analytical skills.
  • Strong ability to gather, synthesize and analyze information from multiple systems.
  • Proven ability to influence stakeholders and guide decision-making.
  • Strong business acumen and strategic mindset.
  • Excellent interpersonal, communication, listening and presentation skills.
  • Knowledge of health, disability, and retirement benefits, preferred.
  • Sets clear goals and objectives, cooperates and participates fully in the coaching process, and actively seeks continuous learning to improve their own and team performance.
  • Self-motivated with the ability to effectively prioritize and execute tasks effectively with minimal supervision; maintains focus on organizational goals.
  • Participates fully on assigned and adjunct teams, fosters a collaborative spirit, builds collaborative networks with internal staff and vendor representatives.

Skills:
Business Intelligence,ANALYTICS,SQL,DATA

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