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Business Analyst Sql R Python Jobs (NOW HIRING)

Business Analyst

Sioux Falls, SD ยท Hybrid

$65K - $90K/yr

Familiarity with Python, R, or similar analytical programming languages; SQL knowledge or ... Degree in Business Analytics, Data Analytics, Statistics, Economics, Mathematics, Data Science ...

Retail Business Analyst

Quincy, MA ยท On-site

$75K - $85K/yr

Advanced Excel and SQL skills required. * Statistical analysis and predictive modeling (R, Python ... Bachelor's degree in business or quantitative discipline (statistics, math) preferred. The above ...

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access ... Master's degree in Computer Science, Management Information Systems, Business Analytics, or a ...

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access ... Master's degree in Computer Science, Management Information Systems, Business Analytics, or a ...

SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access ... Master's degree in Computer Science, Management Information Systems, Business Analytics, or a ...

... meet business needs, particularly in relation to COVID-19. Responsibilities : โ€ข Leverages appropriate analytic and visualization tools (SQL, R, Python, Tableau, others) to develop complex data ...

BA/BS in business analytics, statistics, mathematics, economics, industrial engineering, or another ... Expertise in SQL and R and/or Python * Hands-on experience with Databricks for large-scale data ...

Data Analyst - SQL

Northfield, NJ ยท Hybrid

$70K - $95K/yr

... such as SQL, Python, and reporting platforms. The position operates within a fast-paced ... Bachelor's degree in Computer Science, Business, Accounting, Finance, or related field (or ...

We are looking for an experienced Python / R Data Analyst with 3+ years of hands-on experience in ... Work with SQL databases to extract and analyze data. * Collaborate with business stakeholders, data ...

... business objectives and present findings to non-technical stakeholders ... Mentor and train junior marketing data analysts. Technical Environment: R, Python, SQL, R Studio ...

Business Analyst

Albany, NY ยท On-site

$55.21/hr

The position requires extensive experience with financial-reporting data, SQL and relational ... Python * R * Excel VBA * Data visualization * Business intelligence * Tableau * Cloud-based data ...

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

As of Sep 12, 2026, the average hourly pay for business analyst sql r python in the United States is $47.43, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $59.38 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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Infographic showing various Business Analyst Sql R Python job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $98,662 per year, or $47.4 per hour.

Business Analyst

Sioux Falls, SD โ€ข Hybrid

$65K - $90K/yr

Full-time

Posted 16 days ago


Job description

Job Description Job Title: Business Analyst Location: Sioux Falls, SD (In-office for the first six months; potential for hybrid schedule thereafter) Job Type: Permanent, Full-time, Exempt/Salaried M-F 8a-5p Pay Range: Analyst I: $65k - $75k (DOE) Analyst II: $78k- $90k (DOE), comprehensive benefits package available. Job Description: We are partnering with a growing financial services organization seeking a detail-oriented and analytical Business Analyst to join their Business Analytics team. This role supports business decision-making through recurring reporting, foundational data analysis, and performance monitoring.

The successful candidate will work closely with stakeholders across the organization to deliver accurate reporting, evaluate business initiatives, maintain data integrity, and communicate insights that drive informed business decisions. Key Responsibilities: Build, maintain, and update recurring reports used to monitor key business metrics and departmental performance. Conduct ad hoc analyses, summarize findings, and provide actionable insights to stakeholders.

Monitor A/B testing initiatives and business changes to evaluate performance impacts and results. Gather, organize, analyze, and interpret data using established tools and methodologies. Collaborate with stakeholders and cross-functional teams to understand reporting and analytical needs.

Communicate analytical findings to both technical and non-technical audiences. Perform data quality checks and identify discrepancies to ensure reporting accuracy and integrity. Develop expertise in company data sources, reporting platforms, analytical processes, and business systems.

Qualifications: Bachelor's degree from an accredited college or university. Strong working knowledge of Microsoft Excel. Foundational understanding of data analysis, reporting, and data quality principles.

Familiarity with Python, R, or similar analytical programming languages; SQL knowledge or willingness to learn. Experience with or exposure to data visualization tools such as Tableau or Microsoft Power BI. Strong analytical, organizational, and problem-solving skills with excellent attention to detail.

Effective written and verbal communication skills with the ability to present data insights to diverse audiences. Ability to manage multiple priorities and collaborate effectively across teams. Preferred Qualifications: Degree in Business Analytics, Data Analytics, Statistics, Economics, Mathematics, Data Science, Engineering, or a related quantitative field.

Experience in business analytics, reporting, business intelligence, or related analytical roles. Experience with SQL, Python, R, Tableau, or Power BI. Background in financial services, commercial lending, fintech, banking, or related industries.

Sound Interesting. If you are someone who enjoys transforming data into meaningful business insights and wants to grow your career in analytics while partnering with stakeholders across the organization, this opportunity could be for you. We encourage you to submit your resume for a confidential conversation.