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Business Analyst Python Jobs in Massachusetts (NOW HIRING)

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 ...

WHOOP

Senior Business Analyst (Platform)

Boston, MA · On-site

$100K - $129K/yr

We are seeking a Senior Business Analyst to partner closely with the Platform Engineering team to ... SQL skills required, Python experience a plus. • Strong oral and written communication skills ...

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Business Analyst Python information

What are the key skills and qualifications needed to thrive in the Business Analyst Python position, and why are they important?

To thrive as a Business Analyst Python, you need strong analytical capabilities, expertise in business process modeling, and proficiency in Python for data analysis and automation, typically supported by a degree in business, IT, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and certifications like CBAP or Python-specific credentials are often preferred. Excellent communication, problem-solving, and stakeholder management skills help bridge the gap between technical teams and business objectives. These competencies enable effective data-driven decision-making and ensure solutions align with organizational goals.

What does a typical day look like for a Business Analyst Python?

A typical day for a Business Analyst Python involves gathering and analyzing business requirements, extracting and processing data using Python, and developing reports or data visualizations to present insights to stakeholders. You may collaborate closely with developers, project managers, and business leaders to translate business needs into technical solutions, often participating in meetings to clarify objectives or review progress. Additionally, regular tasks can include writing and refining Python scripts to automate data workflows and monitoring key performance metrics to identify opportunities for improvement. This dynamic role offers a balance between independent analysis and teamwork, making it both challenging and rewarding for those who enjoy problem-solving in a data-driven environment.

Is Python useful for business analysts?

Python is a valuable skill for business analysts as it enables data analysis, automation, and visualization, improving decision-making processes. Familiarity with libraries like pandas and matplotlib can enhance efficiency in handling large datasets. Learning Python can expand a business analyst's technical capabilities and job prospects.

Do business analysts do coding?

Business analysts typically do not perform extensive coding as part of their core responsibilities; their focus is on analyzing business processes, requirements, and data to inform decision-making. However, some business analysts with technical skills may use basic scripting or data querying tools like SQL or Python to support data analysis tasks. Proficiency in these tools can enhance their ability to work with data but coding is generally not a primary duty.

What is a Business Analyst Python job?

A Business Analyst Python job involves analyzing business processes, identifying improvement opportunities, and using Python to automate tasks, manipulate data, and generate insights. These professionals bridge the gap between business needs and technical solutions by leveraging data analytics, visualization, and scripting. They work with databases, create reports, and collaborate with stakeholders to enhance decision-making. Python skills help streamline workflows and improve efficiency in data-driven environments.

Is Python in high demand?

Python is highly in demand for business analyst roles, especially those involving data analysis, automation, and scripting. Employers value Python skills alongside knowledge of data visualization tools and analytical frameworks, making it a valuable programming language for this profession.

Is Python a high paying job?

Business analysts with Python skills often command higher salaries due to their ability to automate tasks, analyze large datasets, and develop data-driven solutions. Salary levels depend on experience, industry, and location, but Python proficiency generally increases earning potential in business analysis roles.
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Business Analyst Python jobs near you
Infographic showing various Business Analyst Python job openings in Massachusetts as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.
Business Analyst

Business Analyst

Sigmoid

Boston, MA • Hybrid

Other

Re-posted 13 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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