Senior Technical Analyst, Data

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Why FCC

At FCC were proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation we provide financing knowledge resources and business management software to over 103000 customers nationwide.

Heres what you can expect when you join our team:

• Competitive total rewards packages: market-aligned and performance-based salary and incentive programs flexible and comprehensive group benefit and savings plans and well-being support through benefits and wellness programs

• Purpose-driven work: We build strong relationships share knowledge and support the people who feed the world

• Growth: Learning and development opportunities to help you thrive

• Hybrid work options

How youll make an impact

As a Senior Technical Analyst Data youll help strengthen FCCs data engineering capability by supporting the systems pipelines and integrations that move trusted information across the organization. Your work will help teams turn business needs into reliable data solutions improve how data is accessed and used and support better decision-making through stable scalable and well-designed technology.

Working closely with data engineers data architects product teams and business stakeholders youll analyze requirements translate them into technical specifications and contribute to solutions involving SQL ETL data warehousing batch processing and cloud-based data services. Youll bring structure to complex problems support production data pipelines troubleshoot issues and help ensure data solutions are reliable supportable and aligned to FCCs evolving technology environment.

If you bring strong technical analysis communication problem-solving and continuous improvement skills and youre interested in a role that blends hands-on data work with collaboration and informal technical leadership this could be the role for you.

What youll do

• Analyze business and technical requirements and translate them into clear specifications that support data solution design development and implementation
• Support data engineers data developers and data architects by contributing technical analysis to data-related work items user stories and delivery priorities
• Design build monitor and support data pipelines integrations and batch processing solutions that improve the reliability and usability of enterprise data
• Troubleshoot complex data issues identify root causes and recommend practical solutions that support stable production systems and effective decision-making
• Help improve tools standards and practices in an Agile fast-paced IT environment with a focus on automation process improvement and long-term supportability
• Collaborate with product teams architects vendors and stakeholders to support technology evolution resolve architectural concerns and improve data solution outcomes
• Provide informal technical leadership by sharing knowledge supporting peers and contributing to stronger data engineering practices across the team

Required qualifications:

• A bachelors degree in computer science or business
• Minimum six years of experience in technology enablement (or an equivalent combination of education and experience)
• Demonstrated expertise in data engineering data warehousing ETL/ELT processes and data integration concepts
• Hands-on experience with AWS data and analytics services such as Glue Redshift Lambda S3 Step Functions and QuickSight
• Experience troubleshooting monitoring and supporting production data pipelines and cloud-based solutions
• Proven ability to identify root causes resolve complex technical issues and drive continuous improvement initiatives
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders

Preferred qualifications:

• AWS certification(s) such as AWS Certified Solutions Architect AWS Certified Data Engineer AWS Certified Developer or equivalent
• Experience designing and implementing cloud-native data architectures and modern analytics solutions
• Knowledge of DataOps DevOps CI/CD pipelines infrastructure as code and automation frameworks
• Experience building reporting and visualization solutions using QuickSight Power BI or similar technologies
• Knowledge of AI machine learning predictive analytics or intelligent automation solutions
• Experience supporting enterprise-scale data platforms serving multiple business units and stakeholders
• Experience developing standards governance processes and technical best practices for data teams

Not sure you meet every requirement We encourage you to apply anyway.