Job Description:
Saab is seeking a skilled Data Informatics Analyst for a full-time, temporary assignment to support our ongoing efforts to deliver data-driven solutions across the organization. The ideal candidate will work at the intersection of data engineering, analytics, and strategic decision-making, playing a pivotal role in transforming raw data into actionable insights for multiple business units and functional teams, including Business Operations, HR, Finance, IT, Security, and Legal.
Key Responsibilities:
Design and deliver data-driven solutions that align with organizational goals and support strategic decision-making.
Partner with cross-functional teams (Finance, Information Technology, Security, Legal) to understand business needs and translate them into technical requirements.
Architect and implement secure, scalable, and efficient data platforms, ensuring compliance with internal and external security standards.
Develop, enhance, and maintain ETL pipelines using Python to ingest, clean, and transform large datasets from various sources.
Build and maintain interactive, insightful KPI dashboards and data visualizations using modern BI tools (e.g., Power BI, Qlik).
Support data governance, integrity, and availability by adhering to best practices in data architecture and lifecycle management.
Collaborate with data architects and IT teams to ensure system scalability, reliability, and data security.
Conduct root cause analysis and troubleshoot data quality issues across reporting layers and ETL workflows.
Compensation Range: $70,200 - $87,800
The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education/training.
Skills and Experience:
BA/BS degree in information technology, computer science or related discipline and 3+ years relevant experience
MA/MS degree in information technology or a data science discipline
or related discipline and 1+ years relevant experienceProficient in Python for data engineering and ETL development
Strong experience with SQL and data modeling
Expertise in designing and deploying BI dashboards and reports using tools such as Power BI, Tableau, Qlik
Solid understanding of data security principles, compliance requirements, and best practices in secure data architecture.
Strong communication skills and ability to work collaboratively across departments.
Drug-Free Workplaces:
Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces. As a condition of employment, candidates will be required to pass a pre-employment drug screen.
About Us:
Saab is a leading defense and security company with an enduring mission, to help nations keep their people and society safe. Empowered by its 19,000 talented people, Saab constantly pushes the boundaries of technology to create a safer, more sustainable and more equitable world. In the U.S., Saab delivers advanced technology and systems, supporting the U.S. Armed Forces and the Federal Aviation Administration, as well as international and commercial partners. Headquartered in Syracuse, New York, the company has business units and local employees in eight U.S. locations.
Saab is a company where we see diversity as an asset and offer unlimited opportunities for advancing in your career. We are also a company that respects each person’s needs and encourage employees to lead a balanced, rewarding life beyond work. Saab values diversity and is an Affirmative Action employer for protected veterans and individuals with disabilities. Saab is an Equal Employment Opportunity employer, all qualified individuals are encouraged to apply and will be considered for employment without regard to race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, age, veteran, disability status, or any other federal, state, or locally protected category.