Data Analyst, Data Solutions & Development

How you’ll make an impact

What you’ll do

Required qualifications

• A bachelor’s degree in Agriculture, Finance, Business, Economics, Mathematics, Statistics, Computer Science, or a related field, along with a minimum of three years of relevant experience, or an equivalent combination of education and experience
• Advanced proficiency in data management, data manipulation, and analytical tools, with the ability to transform complex datasets into meaningful business insights
• Experience working with cloud-based data and analytics platforms, including AWS services such as Redshift, Glue, Lambda, S3, and Step Functions
• Knowledge of DataOps, DevOps, CI/CD methodologies, and automation frameworks to support efficient and scalable data solutions
• Proficiency in programming languages such as Python, PySpark, and advanced SQL across various platforms
• Experience supporting enterprise-wide analytics, business intelligence, data engineering, or digital transformation initiatives
• Professional certifications in cloud computing, data management, analytics, or related technologies are considered an asset
• Not sure you meet every requirement? We encourage you to apply anyway.
• You belong here At FCC, we’re committed to creating an inclusive, equitable and accessible workplace – one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we’re dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives. We encourage qualified applicants to apply, including members of these four employment equity groups: • Indigenous Peoples • Members of visible minority groups • Persons with disabilities • Women
• Accessibility and accommodations
• To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: [email protected]. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.
• You belong here
• At FCC, we’re committed to creating an inclusive, equitable and accessible workplace – one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we’re dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives.
• Indigenous Peoples
• Members of visible minority groups
• Persons with disabilities
• Women

Responsibilities

• Gather, structure and analyze large and complex datasets to uncover insights and support business decision-making
• Design, build and maintain scalable data solutions, repositories and automated analytics processes
• Build reliable and efficient data pipelines that collect, process and deliver high-quality data to analytics and business teams
• Develop scalable ETL solutions while improving data performance, monitoring and governance practices
• Develop, test and support data pipelines, integrations and automation solutions using modern programming languages and cloud technologies
• Scrutinize data using analytical tools and programming languages to identify trends, opportunities and areas for improvement and quality assurance
• Analyze data quality, perform data cleansing activities and maintain reliable, accurate and trusted data assets
• Collaborate with business partners, developers, data engineers and subject matter experts to translate business requirements into technical solutions
• Monitor and improve data quality, governance and reporting processes to ensure data integrity and consistency
• Automate manual processes and enhance existing analytics solutions to improve efficiency and user experience
• Document technical specifications, development standards and business processes to support sustainable solutions
• Research and evaluate new technologies, tools and methodologies that enhance data analytics and development capabilities
• Build data processes by re-engineering SQL transformations and ensuring data integrity through comprehensive reporting-layer validation
• Perform post-development data quality testing and reconciliation to ensure business and technical requirements are met