Business Analyst Capital Markets (Python, PySpark & Databricks)

Boston, MA, US • Posted 5 hours ago • Updated 5 hours ago

Contract W2

Contract Independent

12 Months

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Amazon Web Services
Asset Management
Business Intelligence
Capital Market
Cloud Computing
Computer Science
Data Analysis
Data Engineering
Data Validation
Data Warehouse
Databricks
Derivatives
DevOps
Equities
Extract
Transform
Load
Financial Software
Fixed Income
Gap Analysis
JIRA
Microsoft Power BI
PySpark
Python
SQL

Summary

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract
Rate: Up to $50/hr

Job Summary

We are seeking an experienced Business Analyst with a strong background in Capital Markets and hands-on experience with Python, PySpark, and Databricks. The ideal candidate will bridge the gap between business stakeholders and technical teams, analyze complex financial data, document business requirements, and support data-driven initiatives within the capital markets domain.

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract
Rate: Up to $50/hr

Job Summary

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract
Rate: Up to $50/hr

Job Summary

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract
Rate: Up to $50/hr

Job Summary

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract
Rate: Up to $50/hr

Job Summary

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract
Rate: Up to $50/hr

Job Summary

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract
Rate: Up to $50/hr

Job Summary

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Location: Boston, MA (Hybrid/Onsite)
Duration: Contract

Job Summary

Key Responsibilities

Gather, analyze, and document business and functional requirements from stakeholders.
Collaborate with business users, product owners, and development teams to deliver Capital Markets solutions.
Analyze large financial datasets using Python, PySpark, and Databricks.
Translate business requirements into technical specifications and user stories.
Perform data analysis, data validation, and reconciliation for trading and financial systems.
Work closely with Data Engineering teams to develop and optimize ETL/data pipelines.
Create process flows, BRDs, FRDs, use cases, and workflow documentation.
Support UAT planning, execution, and defect management.
Conduct gap analysis, root cause analysis, and recommend process improvements.
Participate in Agile ceremonies including sprint planning, backlog grooming, and daily stand-ups.

Required Skills

5+ years of Business Analyst experience.
Strong experience in Capital Markets (Equities, Fixed Income, Derivatives, Asset Management, Trading, or Risk Management).
Hands-on experience with Python, PySpark, and Databricks.
Strong SQL skills and experience working with large datasets.
Experience with data analysis, reporting, and financial data validation.
Knowledge of SDLC and Agile methodologies.
Excellent documentation, communication, and stakeholder management skills.

Preferred Qualifications

Experience with cloud platforms such as AWS or Azure.
Familiarity with data warehousing and ETL concepts.
Experience with BI tools such as Tableau or Power BI.
Knowledge of financial data models and regulatory reporting.
Experience with Jira, Confluence, and Azure DevOps.

Education

Bachelor's degree in Computer Science, Information Systems, Finance, Business, or a related field.

Preferred Candidate Profile

Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a fast-paced financial environment.
Experience collaborating with cross-functional teams and senior business stakeholders.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90769335A
Position Id: 9015774
Posted 5 hours ago

Contact the job poster

Girish Tanwar

Recruiter @ Info Way Solutions

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Business Analyst Capital Markets (Python, PySpark & Databricks)

Dice Job Match Score™

Job Details

Skills

Summary

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Job Summary

Key Responsibilities

Required Skills

Preferred Qualifications

Education

Preferred Candidate Profile

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Job Summary

Key Responsibilities

Required Skills

Preferred Qualifications

Education

Preferred Candidate Profile

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Job Summary

Key Responsibilities

Required Skills

Preferred Qualifications

Education

Preferred Candidate Profile

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Job Summary

Key Responsibilities

Required Skills

Preferred Qualifications

Education

Preferred Candidate Profile

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Job Summary

Key Responsibilities

Required Skills

Preferred Qualifications

Education

Preferred Candidate Profile

Job Title: Business Analyst Capital Markets (Python, PySpark & Databricks)

Job Summary

Key Responsibilities

Required Skills

Preferred Qualifications

Education

Preferred Candidate Profile

Girish Tanwar

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