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Business Analyst Sql R Python Jobs in Boston, MA

Business Analyst

Boston, MA ยท On-site

$32 - $42/mo

Using SQL and analytics tools to interpret datasets, identify trends, and support decision-making. Stakeholder Communication: Bridging the gap between technical teams (IT) and business stakeholders ...

Using SQL and analytics tools to interpret datasets, identify trends, and support decision-making. Stakeholder Communication: Bridging the gap between technical teams (IT) and business stakeholders ...

Using SQL and analytics tools to interpret datasets, identify trends, and support decision-making. Stakeholder Communication: Bridging the gap between technical teams (IT) and business stakeholders ...

Business Analyst

Westborough, MA ยท On-site

$85 - $110/hr

... SQL โ€ข Strong techno functional knowledge of: o Oracle EBS HRMS configurations o Interfaces and data conversions โ€ข Working knowledge of: o PL/SQL (for analysis and troubleshooting) o Oracle ...

Senior Business Analyst

Boston, MA ยท On-site

$100K - $129K/yr

Senior Business Analyst Location: Hybrid - Boston, MA (4 days/week onsite) - Local Candidates Only ... Familiarity with SQL, XML, HTML, XSLT, JSON * Experience using Postman, REST APIs, and SOAP UI * ...

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Business Analyst Sql R Python information

See Boston, MA salary details

$19

$51

$78

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

As of Jul 14, 2026, the average hourly pay for business analyst sql r python in Boston, MA is $51.53, according to ZipRecruiter salary data. Most workers in this role earn between $38.65 and $64.52 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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Infographic showing various Business Analyst Sql R Python job openings in Boston, MA as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $107,186 per year, or $51.5 per hour.

Full-time

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Job description

Position : Business Analyst
Location: Quincy MA
Job Description:
  • Proven experience working as a business analyst in collateral management or regulatory reporting within financial services.
  • Strong understanding on REPO and Reverse REPO functionalities
  • Strong understanding of collateral management lifecycle, including margining, settlement, and reconciliation.
  • Familiarity with regulatory frameworks impacting collateral management area (Securities Lending and Secure Finance)
  • Familiarity with Market risk, credit risk, and operation risk under securities finance area.
  • Hands on Experience on SQL and AWS environments
  • Excellent analytical, problem-solving, and documentation skills.
  • Effective communication and stakeholder management abilities.
  • Experience with data analysis, reporting tools, and workflow optimization.

Mandatory skills: Minimum 6 yrs exp in Securities and capital market Domain