Data Analyst, Data Solutions – Development

Federal Communications Commission

. Gather, structure and analyze large and complex datasets to uncover insights and support business decision-making .

Posted 10/22/2026full-timeSurrey • CanadaMid-LevelSenior💰 CA$83,040 - CA$112,340 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data management, ETL solutions, and cloud-based analytics platforms, with a strong focus on data quality, governance, and automation. Proficient in programming languages and analytical tools to support business decision-making and enhance data-driven insights.

Highest-signal resume keywords

Data ManagementETL SolutionsCloud-Based AnalyticsPython ProgrammingAdvanced SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData CleansingData Pipeline DevelopmentData Quality MonitoringData GovernanceDataOpsDevOpsCI/CD MethodologiesAutomated AnalyticsStatistical Analysis

Soft Skills

CollaborationCommunicationProblem-SolvingAnalytical ThinkingAttention to Detail

Tools & Technologies

AWS RedshiftAWS GlueAWS LambdaAWS S3AWS Step FunctionsAnalytical ToolsAutomation Frameworks

Certifications & Qualifications

Cloud Computing CertificationData Management CertificationAnalytics Certification

Industry Keywords

Business IntelligenceDigital TransformationData EngineeringData ManipulationData Solutions

Tech Stack

Tools & technologies

Amazon 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 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
Automate manual processes and enhance existing 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 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
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
Purpose-driven work
Learning and development opportunities
Hybrid work options