Business Analyst Capital Markets (Python, PySpark & Databricks)
Boston, New York, United States of America
Contract
3 weeks ago
Key skills
PythonSQLETLData EngineeringData WarehousingBITableauPower BIDatabricksAWSAzureAzure DevOpscomposerJiraConfluenceAgileSDLCStakeholder ManagementRisk ManagementCommunication
About this role
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
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
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
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
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
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
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
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.