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. Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. However, the following must be delivered (iteratively) over the course of the project:
Data 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.
Location of Work The Data Analyst will primarily work remotely; however, the Data Analyst may be required to attend meetings or work sessions in Edmonton on reasonable notice from the Province. At the time of providing such notice, the Province will advise of the expected duration of any such meetings or work sessions. However, time to travel and any associated expenses to and from Edmonton will be at no cost to the Province.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
