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Business Data Analyst #Varite • United States
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Business Data Analyst #

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  • US
    United States
  • US
    United States
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À propos

Duration: 6 months contract (with possible extension)
Job Brief We are seeking a Business Analyst / Data Analyst (BA/DA) to join the Enterprise Shared Analytics Marts (ESAM) squad within Enterprise Data and Information Services (EDIS). This is a high-impact role supporting enterprise-scale data solutions that power reporting, analytics, regulatory needs, and data-driven business insights. The BA/DA will partner closely with business stakeholders, architects, data engineers, and downstream consumers to define business requirements, perform data analysis, and ensure accurate end-to-end data delivery across the Enterprise Data Supply Chain.
Essential Job Functions
Partner with business and technology stakeholders to elicit, analyze, and document business and data requirements. Own end-to-end data attribution and source-to-target mapping for enterprise data elements across source systems, CAM, and downstream marts. Translate business requirements into detailed functional and technical specifications, including transformations, derivations, and business rules. Provide SQL logic, data validation rules, and mapping guidance to support development and data engineering teams. Contribute to logical and physical data models and entity-relationship diagrams. Support solution design to ensure alignment with business objectives, data standards, and optimized user experience. Lead and participate in requirement and mapping reviews, ensuring quality, consistency, traceability, and auditability. Perform data analysis, profiling, and validation to assess data quality, completeness, and downstream impacts. Support testing activities including SIT and UAT by defining test scenarios, validating results, and assisting with defect resolution. Communicate progress, risks, dependencies, and estimates to project managers and stakeholders. Apply SDLC and Agile methodologies throughout the lifecycle from discovery through delivery and post-implementation support. Mentor junior analysts and promote continuous improvement in data quality, delivery efficiency, and documentation standards. Required Qualifications
Bachelor's Degree with 7+ years of Business Analysis and/or Data Analysis experience, or Master's Degree with 4+ years of relevant experience, or equivalent work experience. Strong analytical, written, and verbal communication skills. Strong SQL experience for data analysis, validation, and requirement translation. Experience with data mapping, data modeling, and enterprise data platforms Experience working with cloud platforms such as Google Cloud Platform (BigQuery). Preferred Skills / Qualifications
Experience working in Information Technology within the banking or financial services industry. Strong understanding of enterprise data supply chains and downstream impacts. Experience with Agile methodologies, Scrum, Jira, and Confluence. Experience performing data quality analysis and automation for validations. Working knowledge of Ab Initio, Mainframe systems, and BI tools such as Tableau. Is a plus. Understanding of SDLC, security, risk management, and IT controls. Ability to work independently, manage multiple priorities, and collaborate across cross-functional teams.
This position is an onsite position: Manager would prefer at Brooklyn OH or Columbus, OH, Buffalo or Albany NY.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com .
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
AI Statement:
By applying, you acknowledge that AI-assisted tools may be used during hiring.
IND01
  • United States

Compétences linguistiques

  • English
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