Senior FIS Data Analyst

Insight Global

Chicago, IL, United States

about 1 month ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Agile Methodology Business Analytics Applications Data Control Data Governance Extract Transform Load (ETL) Data Structures Data Systems Data Warehousing Database Applications Relational Databases Database Design Meta-Data Management

+5 more

Sap Business Objects Data Strategy Data Lineage Collibra Data Management

Job description

Seeking a highly skilled and experienced Senior Data Analyst with deep expertise in FIS platforms, Business Objects (BIC/SAP BusinessObjects Intelligence Center), and enterprise data lineage creation and governance. This role serves as a critical bridge between business stakeholders and technology teams, ensuring that data assets are well-defined, traceable, and governed in alignment with organizations data strategy principles. The ideal candidate brings a consultative mindset, a strong command of financial systems data, and a passion for data quality and stewardship.

Requirements

· 5+ years of hands-on experience with FIS platforms (e.g., FIS Profile, FIS Horizon, FIS Modern Banking Platform, or equivalent core banking systems), including deep knowledge of FIS data structures, schemas, and integration patterns.

· 3+ years of experience developing and administering Business Objects (BIC/SAP BusinessObjects Intelligence Center) solutions, including universe design, report development, and data source connectivity.

· Expert in communicating with varying levels of Business Intelligence experts to understand BIC authoring, usage, maintenance, and provide appropriate alternatives

· Demonstrated expertise in data lineage creation, documentation, and governance within complex financial services environments.

· Expert proficiency in data-driven applications, relational databases, data modeling, and database design, with specific experience in financial systems data.

· Broad expertise in data technologies including data warehousing, ETL pipelines, data quality frameworks, business intelligence, and analytical tools.

· Experience with enterprise data governance platforms (e.g., Collibra, Informatica Axon, Alation) for lineage tracking, metadata management, and data stewardship workflows.

· Strong understanding of regulatory data requirements relevant to financial institutions (e.g., BCBS 239, SOX, AML/BSA data controls).

· Understanding of project delivery methodologies including Agile, Waterfall, and Hybrid frameworks.

· Advanced analytical thinking and problem-solving skills with the ability to translate complex data challenges into clear, actionable solutions.

· Strong interpersonal and communication skills with the ability to engage and influence stakeholders at all levels of the organization.