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.
À propos de Cognizant
Cognizant (NASDAQ : CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif : améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus : cognizant.ai ou @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, de l'information génétique, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée telle que décrite par les lois fédérales, provinciales ou locales.
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