Technical BSA

Business Systems Analyst (BSA)

Job Description Join a global team of fraud technology professionals focused on driving innovation and high-quality delivery of the firm's fraud mitigation objectives. We are seeking a strong Business Systems Analyst (BSA) with hands-on experience working with SQL, Databricks, large-volume datasets, and data-intensive delivery initiatives. The ideal candidate will bring deep business analysis skills combined with strong data profiling, data quality, ETL/data transformation, and data governance knowledge to support end-to-end solution delivery.

• Articulate business needs, problem statements, business objectives, and strategic alignment to ensure accurate and complete business requirements in support of the business case.
• Own the delivery of high-level and detailed requirements, including technical specifications, source-to-target mappings, transformation rules, and data-oriented acceptance criteria.
• Partner with business, technology, data engineering, QA, and platform teams to translate business needs into scalable data and system requirements.
• Profile large and complex datasets using SQL, Databricks notebooks, and other enterprise tools to analyze data patterns, identify anomalies, validate data readiness, and surface upstream data issues.
• Work with ETL and data engineering teams to define, validate, and document data transformation logic, mapping rules, lineage, reconciliation requirements, and downstream data consumption needs.
• Support initiatives involving large volumes of structured and semi-structured data across enterprise platforms, ensuring performance, usability, and traceability of requirements.
• Define and validate data quality requirements including completeness, accuracy, consistency, uniqueness, timeliness, reconciliation, and exception handling.
• Collaborate with teams to identify data quality issues, root causes, control points, and remediation actions during analysis, development, testing, and implementation.
• Contribute to solution design discussions involving data encryption, masking, tokenization, key data protection controls, and secure handling of sensitive data in transit and at rest.
• Ensure requirements align with enterprise governance, compliance, security, and risk standards, especially for regulated and sensitive data domains.
• Take ownership of requirements management, communication, traceability, and change impact assessment throughout the project lifecycle.
• Identify delivery risks and issues related to data sourcing, transformation, quality, controls, security, and operational readiness; proactively escalate and support mitigation planning.
• Support implementation and post-implementation activities including data validation, defect triage, issue analysis, and production readiness.
• Provide concise status updates on work packages, dependencies, risks, and decisions to project managers, sponsors, and stakeholders. Department Overview This role supports data-centric fraud and regulatory initiatives where high-quality requirements, strong data analysis, and close collaboration across business and technology teams are critical to successful delivery. Key Accountabilities Customer
• Lead and influence a diverse range of stakeholders by adapting communication style to both business and technical audiences.
• Analyze impacts to customers, stakeholders, employees, processes, and technology solutions to achieve business outcomes.
• Drive clarity on data-related work packages, including scope, constraints, dependencies, and risks for each initiative.
• Provide recommendations based on end-to-end customer and data flow impacts, including upstream/downstream system considerations.
• Lead requirements deliverables that support business outcomes while ensuring data usability, integrity, and compliance.
• Communicate significant changes affecting requirements, data quality, transformation logic, or delivery timelines to key stakeholders.
• Partner with business and project teams to resolve issues impacting requirements, data readiness, profiling outcomes, or solution design. Shareholder
• Lead requirements management for data-centric projects of varying complexity, size, and regulatory impact.
• Facilitate structured elicitation, analysis, documentation, validation, and management of business and system requirements.
• Document current-state and future-state processes, data flows, interfaces, control points, and operational impacts.
• Establish and maintain end-to-end traceability across business requirements, technical requirements, transformation rules, test cases, and implementation outcomes.
• Collaborate with technology partners to support system design, ETL/data transformation design, testing strategy, reconciliation approach, and implementation planning.
• Identify and manage risks, assumptions, dependencies, and constraints related to data sourcing, profiling, transformation, quality, and security.
• Contribute to compliance, security, and risk assessments, including controls required for encrypted or sensitive data handling. Job Requirements Core Requirements
• Strong Business Systems Analyst experience in data-centric projects involving large volumes of data, enterprise data platforms, and complex stakeholder environments.
• Advanced SQL skills with the ability to write complex queries for data analysis, profiling, validation, reconciliation, and issue investigation.
• Hands-on experience using Databricks for data profiling, exploratory analysis, validation of data transformations, and working with large-scale datasets.
• Experience defining and documenting ETL / ELT processes, source-to-target mapping, transformation logic, business rules, and data lineage.
• Strong understanding of data quality concepts, controls, and metrics, including completeness, accuracy, consistency, timeliness, reconciliation, and exception management.
• Experience identifying, analyzing, and remediating data quality issues in collaboration with upstream and downstream teams.
• Knowledge of data security and data protection principles, including data encryption concepts, masking/tokenization awareness, secure data handling, and control considerations for sensitive data.
• Ability to work closely with data engineers, architects, developers, QA teams, and business stakeholders to deliver scalable and compliant solutions.
• Strong analytical and problem-solving skills with the ability to assess impacts across systems, processes, data flows, and business outcomes.
• Experience supporting testing, reconciliation, defect analysis, implementation readiness, and post-production stabilization activities. Employee / Team
• Contribute to team development through mentorship of junior and peer Business Systems Analysts by sharing best practices, especially in data analysis and requirements management.
• Continuously enhance knowledge in business analysis, data platforms, SQL, Databricks, and enterprise delivery practices.
• Build productive working relationships with business partners, stakeholders, and technology teams.
• Prioritize workload effectively to meet project milestones and changing delivery demands.
• Support a collaborative team culture and contribute to continuous improvement across delivery practices. Breadth & Depth
• Experience working on data-centric fraud, risk, regulatory, or enterprise transformation initiatives with multiple stakeholders across lines of business.
• Strong understanding of business systems analysis practices across the full project lifecycle.
• Demonstrated experience profiling large datasets using SQL, Databricks notebooks, Python notebooks, and/or Excel.
• Practical experience working with large-scale data ingestion, ETL/data transformation, reconciliation, and control frameworks.
• Ability to work independently as a senior or lead BSA and guide others within area of expertise.
• Ability to identify and resolve complex data and requirements issues across multiple teams. Additional Information Experience & Education
• Undergraduate degree in a technical, engineering, information systems, data, or finance-related discipline.
• 8+ years of related Business Systems Analysis experience, with a strong focus on data-intensive initiatives.
• Experience in financial services, fraud, risk, compliance, or regulated environments is an asset.
• Azure and/or Databricks certifications are considered assets.
• Basic to intermediate Python knowledge for data analysis or profiling is an asset. Ideal Candidate Profile The ideal candidate is a BSA who combines strong business analysis discipline with practical experience in SQL, Databricks-based data profiling, ETL/data transformation analysis, large-volume data handling, data quality management, and awareness of data encryption/security controls.