Sr. Data/System Analyst Data Engineering

Sr. Data/System Analyst Data Engineering

Posted 4 days ago by 1762947318

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Negotiable
Outside
Remote
USA
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Agile Methodology Amazon DynamoDB Amazon Web Services (AWS) Application Programming Interface (API) Bank Reconciliations Cloud Computing Cloud Technologies Cloud Technology Computer Science Continuous Integration and Continuous Delivery Data Analysis Data Domain Data Engineering Data Governance Data Modeling Data Privacy Laws Data Processing Data Quality Data Store DevOps Information Systems Integration Testing JIRA Management Market Trend Metadata Operational Data Store Reconciliation Snowflake (Data Warehouse) Sprint Planning SQL (Programming Language) Stakeholder Management Systems Analysis Systems Integration Wealth Management

Summary: We are seeking a Senior Data/System Analyst to join our Data Engineering team, focusing on wealth management data. This role involves designing and optimizing data systems while acting as a liaison between business stakeholders and technical teams. The ideal candidate will have extensive experience in data analysis and a strong understanding of the wealth management domain. Key responsibilities include analyzing datasets, collaborating with stakeholders, and ensuring quality delivery of data solutions.

Key Responsibilities:

  • Analyze large datasets to identify trends, patterns, and translate them into technical specifications for data engineering solutions.
  • Design and document data flows, system interfaces, and integration points across platforms.
  • Create test cases and assist unit or integration testing to ensure code quality.
  • Support the development and maintenance of real-time and batch data pipelines.
  • Ensure alignment with architecture and data governance standards.
  • Collaborate with product owners, business analysts, and data consumers to understand data needs, data quality rules, and data reconciliation actions.
  • Facilitate workshops, requirement-gathering sessions, and technical walkthroughs.
  • Act as a liaison between technical teams and non-technical stakeholders to ensure clarity and alignment.
  • Define acceptance criteria and validate deliverables against data requirements.
  • Support testing, troubleshooting, and deployment of data solutions.
  • Contribute to sprint planning, backlog grooming, and agile ceremonies.

Key Skills:

  • Bachelor's or master's degree in computer science, Information Systems, or related field.
  • 5+ years of experience in systems analysis, preferably within data engineering in Wealth Management domain.
  • Strong understanding of operational data store practices, data mastering, ETL/ELT processes, AWS cloud platform, and API.
  • Proficiency in SQL and familiarity with Cloud technologies (e.g., Iceberg, DynamoDB, Snowflake).
  • Experience with Agile/Scrum methodologies and tools like Jira.
  • Excellent communication, documentation, and stakeholder management skills.
  • Experience with data modeling and metadata management.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and compliance frameworks.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Job Title: Sr. Data/System Analyst Data Engineering
Location: Remote
Duration: 12 Months
!! Wealth Management must !!
Job Summary:
We are looking for a highly skilled Senior Data/System Analyst to join our Data Engineering team, where you'll play a pivotal role in designing, analyzing, and optimizing data systems and pipelines. You will act as the bridge between business stakeholders, data engineers, and architects translating business data needs into scalable technical data solutions. This role demands a deep understanding of wealth management data domain, operational data processing, system integration, and agile delivery practices.
Key Responsibilities:
Analysis & Design
Analyze large datasets to identify trends, patterns, and translate them into technical specifications for data engineering solutions. (e.g. API Swagger Document, Data Lineage Document)
Design and document data flows, system interfaces, and integration points across platforms.
Create test cases and assist unit or integration testing to ensure code quality.
Support the development and maintenance of real-time and batch data pipelines.
Ensure alignment with architecture and data governance standards.
Stakeholder Engagement
Collaborate with product owners, business analysts, and data consumers to understand data needs, data quality rules and data reconciliation actions
Facilitate workshops, requirement-gathering sessions, and technical walkthroughs.
Act as a liaison between technical teams and non-technical stakeholders to ensure clarity and alignment.
Quality & Delivery
Define acceptance criteria and validate deliverables against data requirements
Support testing, troubleshooting, and deployment of data solutions.
Contribute to sprint planning, backlog grooming, and agile ceremonies.
Qualifications:
Bachelor s or master s degree in computer science, Information Systems, or related field.
5+ years of experience in systems analysis, preferably within data engineering in Wealth Management domain.
Strong understanding of operational data store practices, data mastering, ETL/ELT processes, AWS cloud platform, and API.
Proficiency in SQL and familiarity with Cloud technologies (e.g., Iceberg, DynamoDB, Snowflake).
Experience with Agile/Scrum methodologies and tools like Jira
Excellent communication, documentation, and stakeholder management skills.
Experience with data modeling and metadata management.
Familiarity with CI/CD pipelines and DevOps practices.
Knowledge of data privacy regulations (e.g., GDPR, HIPAA) and compliance frameworks.
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