Data Analyst

Job Summary:

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.

Responsibilities:

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.

Requirements:

Must have:

• Bachelor's degree in computer science, IT or related field of study.
• Experience as a Data Engineer and/or Data Analyst.
• Experience designing efficient dimensional models (star and snowflake schemas) for warehousing and analytics.
• Experience developing and maintaining reports, dashboards, and visualizations using Power BI, DAX, Tableau, or Python libraries.
• Experience ensuring data quality, security, and governance.
• Experience manipulating and extracting data from diverse on-premises and cloud-based sources.
• Experience performing migrations across on-premises, cloud, and cross-database environments.
• Experience using Git, collaborative workflows, CI/CD pipelines, containerization (Docker/Kubernetes), and Infrastructure as Code (Terraform, ARM, CloudFormation) to deploy and migrate data solutions.
• Experience with SSIS, Azure Data Factory (ADF), and using APIs for extracting and integrating data across multiple platforms and applications.

Nice to have:

• Experience in advanced analytics (e.g., statistical modeling, predictive analytics, data mining).
• Experience in the Government of Alberta environment or an environment of equivalent size and complexity.
• Experience with Azure Databricks
• Experience with object-oriented and functional programming/scripting languages.
• Experience working with AI (e.g., machine learning, NLP)

Mindtris, a minority women-owned enterprise, is at the forefront of digital transformation, technology excellence, and business growth solutions. Specializing in talent mobilization and innovation, we are dedicated to enhancing customer experiences across diverse sectors such as Information Technology, Telecommunications, Healthcare, Engineering, and the Public sector. With a focus on deploying top-tier talent and fostering innovation, we empower businesses to thrive and excel in a rapidly evolving digital landscape, helping them reach new heights of success.

Mindtris is committed to fostering workforce diversity and is proud to be an equal opportunity employer.