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Data Analyst, Data Solutions – Development
Federal Communications Commission. Gather, structure and analyze large and complex datasets to uncover insights and support business decision-making .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data management, ETL solutions, and cloud-based analytics platforms, with a strong focus on data quality, governance, and automation. Proficient in collaborating with cross-functional teams to translate business needs into effective technical solutions.
Highest-signal resume keywords
Data ManagementETL SolutionsPython ProgrammingAWS ServicesDataOps Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData CleansingData Pipeline DevelopmentSQL ProficiencyData GovernanceData AutomationData ManipulationAnalytics SolutionsCloud TechnologiesStatistical Analysis
Soft Skills
CollaborationCommunicationProblem-SolvingAttention to DetailCritical Thinking
Tools & Technologies
AWS RedshiftAWS GlueAWS LambdaAWS S3AWS Step FunctionsData Analytics PlatformsAutomation FrameworksCI/CD ToolsBusiness Intelligence ToolsData Engineering Tools
Certifications & Qualifications
Cloud Computing CertificationData Management CertificationAnalytics Certification
Industry Keywords
DataOpsDevOpsDigital TransformationBusiness IntelligenceEnterprise Analytics
Tech Stack
Tools & technologiesAmazon RedshiftAWSCloudETLPySparkPythonSQL
About the role
Key responsibilities & impact- 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
- 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 to identify trends, opportunities and areas for improvement and quality assurance
- Analyze data quality, perform data cleansing, 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
- Automate manual processes and enhance analytics solutions
- Document technical specifications, development standards and business processes
- Research and evaluate new technologies, tools and methodologies
- Re-engineer SQL transformations and validate reporting-layer data integrity
- Perform post-development data quality testing and reconciliation
Requirements
What you’ll need- 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
- 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
- Proficiency in 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
- English language required
Benefits
Comp & perks- Competitive total rewards packages
- Market-aligned and performance-based salary and incentive programs
- Flexible and comprehensive group benefit and savings plans
- Well-being support through benefits and wellness programs
- Learning and development opportunities
- Hybrid work options
- Purpose-driven work supporting Canadian agriculture and food