CLDRSRC9422 - Data Analyst -Edmonton,AB - Hybrid/Remote- Long Term Contract

Cloud Resourcing

  • Edmonton, AB
  • Permanent
  • Full-time
  • 8 hours ago
  • Apply easily
The Data Analyst will work as part of cross-functional program review or product delivery teams. These teams, led by product owners and work collaboratively and collectively participate in a full range of activities including: field research, backlog definition and refinement, and sprint planning and execution. Digital transformation projects review the current state of services, identify future opportunities, and then deliver new services that are efficient, effective and affordable.We are seeking a talented and versatile Data Analyst to join our dynamic team. The ideal candidate will have a strong foundation in data engineering practices, combined with the analytical skills necessary to derive actionable insights from data. This role involves designing, implementing, and maintaining robust data pipelines and architectures, as well as performing detailed data analysis to support business decisions.Scope of ServicesData Engineering:
- Design, develop, and maintain scalable data pipelines to ingest, transform, and store large volumes of data both on-premises (SSIS etc.) and in the cloud (Azure, AWS, GCP)
- Ensure data integrity, accuracy, and availability for analytical and operational use.
- Collaborate with software engineers, data scientists, and business stakeholders to understand data requirements and implement solutions.
- Optimize and improve existing data workflows and ETL processes.
- Implement data governance and security best practices.
- Manage data storage solutions, such as data lakes and data warehouses.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Deploy data solutions in the cloud and with database tools (SQL, NoSQL).Data Analytics:
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Power BI, SaaS VA).
- Conduct statistical analysis and modeling to support business strategies.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
- Use SQL and other query languages to extract and manipulate data from various sources.
- Create plans and strategies to integrate data models and improve service delivery.
- Develop and share service metrics and performance dashboards.
- Facilitate the frequent delivery of services and deliverables to ensure the successful creation of the target state while mentoring Agile Teams to grow their analytics fluency.
- Support corporate priorities with data-driven evidence using analytics, visualizations, and data modeling.QualificationExpectedMust HaveEducationBachelor degree in Computer Science, IT or related field of study.YesWork ExperienceExperience as a Data Engineer and/or Data Analyst.5 yearsExperience designing efficient dimensional models (star and snowflake schemas) for warehousing and analytics.3 yearsExperience developing and maintaining reports, dashboards, and visualizations using Power BI, DAX, Tableau, or Python libraries.3 yearsExperience ensuring data quality, security, and governance.3 yearsExperience manipulating and extracting data from diverse on-premises and cloud-based sources.5 yearsExperience performing migrations across on-premises, cloud, and cross-database environments.2 yearsExperience using Git, collaborative workflows, CI/CD pipelines, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform, ARM, CloudFormation) to deploy and migrate data solutions.2 yearsExperience with SSIS, Azure Data Factory (ADF), and using APIs for extracting and integrating data across multiple platforms and applications.3 yearsNice to HaveWork ExperienceExperience in advanced analytics (e.g., statistical modeling, predictive analytics, data mining).2 yearsExperience in the Government of Alberta environment or an environment of equivalent size and complexity.1 yearsExperience with Azure Databricks2 yearsExperience with object-oriented and functional programming/scripting languages.2 yearsExperience working with AI (e.g., machine learning, NLP)1 yearsMaximum Extension Term (Months)24

Cloud Resourcing