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Data Analyst
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Über
Job Description:
Data Analyst Senior Data Analyst for Finance Application Modernization Client is embarking on a major initiative to modernize the Finance applications that are downstream to Single Family Corporate Data Warehouse. This involves a substantial effort to update client's applications and systems. To ensure a smooth transition with minimal disruption, client is looking for experienced Data Analysts who can identify critical system dependencies and assist in modernizing outdated data platforms and workflows. This position is ideal for candidates who are highly analytical, adept at working with largescale enterprise systems, and possess a strong background in data mapping, ETL, and data warehousing. Key Responsibilities:
Partner with cross-functional teams to identify dependencies between applications and systems on the current CDW platform. Analyze and interpret Business Requirement Specifications (BRS) and ETL code to align with modernization objectives. Collaborate with stakeholders to define data requirements for Finance and Accounting systems. Create detailed mapping documents that outline data flows, transformations, and system interactions. Develop and validate complex SQL queries to support data analysis and migration efforts. Assist in mapping source to target tables/columns (Nexus to Finance apps) and define derivation logic as part of the modernization process. Ensure comprehensive documentation and traceability of all data lineage and mapping activities. Required Qualifications:
At least 5 plus years of experience in data analysis, data warehousing, or related fields. Strong understanding of ETL processes with the ability to read and interpret ETL code. Practical experience or familiarity with tools such as DataStage, Informatica, SAS, and Python. Expertise in complex SQL for data analysis, validation, and script development. Strong ability to understand enterprise-scale systems and data environments and, create data mapping documents. Excellent analytical skills with keen attention to detail. Strong communication and collaboration abilities. Must Have Qualifications:
Must have experience analyzing Business Requirement Specifications (BRS) and ETL code, SQL quires, understanding of Unix. Development experience is preferred.
About Us: InterSources Inc , a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 16 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering
Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services,
etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a
Google Cloud partner
company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.
Wünschenswerte Fähigkeiten
- Data Warehousing
- Python
- SAS
- Unix
Berufserfahrung
- Data Analyst
Sprachkenntnisse
- English
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