Senior Data Analyst - Contract

Compugen Inc
Washington, US
Remote

Job Description

About Compugen Compugen is Canada's largest privately-owned Technology Ally. To innovate industries, transform businesses, connect communities, and drive meaningful change, we must think bigger, reach broader, and act bolder. Through knowledge, curiosity, and collaboration, Compugen helps organizations delivering experience by design. This is what it means to be human-centered and technology-enabled.

Dreaming, designing, and delivering isn't just a mantra for us — it's a way of life. We believe that technology is the conduit, but our people – they are the connection that truly makes the magic happen!

Our Culture We are a human-centered culture where we prioritize your well-being and are invested in helping you reach your fullest potential. We're not only focused on achieving our goals — we're dedicated to helping you achieve yours.

If you're relentlessly curious, driven to make a difference, and collaborative at the core, then you belong with us.

Position Overview: We are seeking a Senior Data Analyst to support enterprise data platform initiatives by leading data mapping, analysis, and validation activities across complex data ecosystems. This role is critical in ensuring accurate data integration, migration, and reporting across platforms such as Azure, Databricks, and modern data warehouses. The ideal candidate will bridge business and technical teams, translating requirements into clear data mapping specifications while ensuring data quality, governance, and alignment with enterprise standards.

Key Responsibilities:

  • Lead detailed data mapping activities between source systems, data platforms, and target destinations
  • Document field-level mappings, transformation logic, data lineage, and business rules
  • Ensure mapping documentation aligns with enterprise data standards, governance frameworks, and architectural patterns
  • Maintain clear, structured, and version-controlled mapping specifications for engineering teams
  • Analyze and profile datasets to understand structures, relationships, data quality issues, and anomalies
  • Validate that transformed and mapped data accurately reflects business processes and requirements
  • Identify data gaps, inconsistencies, and risks during data migration and integration initiatives
  • Collaborate with data engineers, architects, business analysts, product owners, and SMEs to gather and refine requirements
  • Translate business definitions and requirements into technical data mapping documentation
  • Facilitate workshops to resolve data ambiguities and align on business rules and mapping decisions
  • Define validation rules and expected outputs to support testing and data transformation verification
  • Perform data reconciliation between source and target systems to ensure accuracy and completeness
  • Partner with data governance teams to improve data integrity, metadata management, and documentation standards
  • Develop dashboards, reports, and analytical outputs to support business decision-making
  • Present insights, findings, and recommendations to both technical and non-technical stakeholders
  • Contribute to self-service analytics initiatives and standardized reporting frameworks

Skills & Qualifications:

  • Bachelor’s degree in Data Science, Information Systems, Computer Science, Business Analytics, or a related field
  • Strong experience in data mapping, data modeling, and data migration projects
  • Proficiency in SQL (intermediate to advanced) for data querying and analysis
  • Experience with data analysis, profiling techniques, and data validation methodologies
  • Advanced skills in Excel or similar data analysis tools
  • Experience with data visualization tools such as Power BI
  • Strong understanding of relational databases, structured data, and data integration patterns
  • Ability to interpret, document, and communicate complex data transformation logic clearly
  • Familiarity with modern data platforms such as Azure, Databricks, and cloud-based data ecosystems
  • Strong communication, stakeholder engagement, and documentation skills
  • Ability to work cross-functionally and translate business needs into technical solutions

Equity Statement

At Compugen, we are committed to diversity, equity and inclusion. We actively recruit from all groups, including women, Indigenous people, persons with disabilities and members of visible minorities. We recognize the importance of removing barriers to participation and provide accommodation upon request to all applicants throughout the recruitment process. If you require an accommodation, our People & Culture representative will work with you to meet your needs in a confidential and respectful manner. We believe everyone deserves a seat at the table-and we are taking deliberate action to make this a reality.

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Skills & Requirements

Technical Skills

Data mappingData modelingData migrationSqlAzureDatabricksModern data warehousesData governanceData integrityMetadata managementData transformationData reconciliationDashboardsReportsAnalytical outputsCollaborationCommunicationProblem-solvingRequirements gatheringWorkshopsData analysisData profilingData validationData lineageData qualityData standardsData governance frameworksData mapping documentationBusiness rulesData transformation verificationData reconciliationData governanceMetadata managementDocumentation standardsBusiness decision-makingInsightsFindingsRecommendationsDataTechnologyEnterpriseData scienceInformation systemsComputer scienceBusiness analytics

Employment Type

CONTRACT

Level

senior

Posted

4/23/2026

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