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Business Analyst Sql R Python Jobs in Boston, MA

Sigmoid

Business Analyst

Boston, MA · Hybrid

The role involves translating business needs into functional requirements, supporting data and ... Proficiency in SQL, Python and R to any data analysis tools preferred. * Experience working with ...

Sigmoid

Business Analyst

Boston, MA · On-site

The role involves translating business needs into functional requirements, supporting data and ... Proficiency in SQL, Python and R to any data analysis tools preferred. * Experience working with ...

MSR Technology Group

Business Analyst

Boston, MA · On-site

... years of Business Analysis experience • Strong communication and problem solving skills • ... Oracle/SQL and other languages desirable (e.g. Java, R). Willingness to read/analyze code for ...

IMP Consulting

Business Analyst

Boston, MA · On-site

Responsibilities We are currently looking for a versatile business analyst. The ideal candidate ... Knowledge of relational databases and how to code SQL in Oracle, MS SQL Server or Sybase a plus

Namyan LLC

Technical Business Analyst - Remote

Boston, MA · Remote

$50 - $52/hr

Technical Business Analyst Duration: 12 Months Work: Remote Job Summary: We are seeking a highly ... Perform data analysis (SQL, Excel, BI tools) to support requirement validation and decision-making.

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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 13, 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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Business Analyst Sql R Python jobs near you
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.
Business Analyst

Business Analyst

Sigmoid

Boston, MA • Hybrid

Other

Posted 9 days ago

Job description

BFSI (BA/SBA)

About Sigmoid:

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world's leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a 'Leader' in ISG's Specialty Analytics Services for Supply Chain (2024), a two-time 'India Future Unicorn' by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

An ideal person will come with strong domain expertise in Capital Markets to work closely with business stakeholders, technology teams, and data teams to deliver high-impact solutions across trading, risk, and post-trade functions. The role involves translating business needs into functional requirements, supporting data and technology initiatives, and driving transformation programs across global markets businesses.


Responsibilities Include

  • Partner with front-office, middle-office, and operations teams across capital markets (equities, fixed income, derivatives, FX).
  • Gather, analyze, and document business requirements, workflows, and use cases.
  • Translate business requirements into functional specifications, user stories, and process flows.
  • Facilitate workshops, stakeholder interviews, and requirement walkthroughs.
  • Drive deep insights and analysis, beyond the obvious, to add business value
  • Adhere to delivery, quality metrics and internal governance
  • Work independently with minimal supervision
  • This role will require working on multiple engagements in parallel 

Experience and Qualifications

  • 5-8 years of experience as a Business Analyst in Capital Markets or Investment Banking.
  • Strong understanding of one or more asset classes
    • Equities
    • Fixed Income
    • Derivatives
    • FX
  • Good understanding of trade lifecycle and capital markets operations.
  • Experience with requirement documentation and stakeholder management.
  • Strong analytical and problem-solving skills.
  • Proficiency in SQL, Python and R to any data analysis tools preferred.
  • Experience working with global stakeholders and cross-functional teams.
    Highly analytical with the ability to collate, analyze and present data and drive clear and actionable insights
  • Strong problem-solving skills and ability to prioritize conflicting requirements.
  • Excellent written and verbal communication skills.
Capital Markets Domain Support
  • Work on initiatives across:
    • Trade lifecycle (order execution clearing settlement)
    • Risk & PnL reporting
    • Regulatory reporting (MiFID, EMIR, Dodd-Frank, etc.)
    • Client onboarding, KYC, collateral, and margin
    • Market and reference data
  • Support front-office analytics, trading workflows, and reporting needs.
Data & Technology
  • Collaborate with data engineering and technology teams on:
    • Data mapping, lineage, and reconciliation
    • Source-to-target mapping
    • Data quality and validation
  • Support data-driven initiatives such as dashboards, analytics, and AI/ML use cases.
  • Work with tools such as SQL, Excel, Python (nice to have), JIRA, Confluence.
Delivery & Execution
  • Create BRDs, FRDs, user stories, and acceptance criteria.
  • Support UAT planning, test case creation, and defect tracking.
  • Track project milestones, risks, and dependencies.
  • Work in Agile/Scrum or hybrid delivery models.
Preferred / Nice to Have
  • Experience with market data platforms (Bloomberg, Refinitiv).
  • Knowledge of risk systems, PnL, or regulatory reporting.
  • Exposure to data/AI initiatives in capital markets.
  • Agile certifications or prior consulting experience.
  • Experience working in consulting/client-facing roles
  • Ability to support pre-sales, proposals, and solution workshops
  • Exposure to data/AI transformation in capital markets

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