Data Analyst

At ALS, we encourage you to dream big. When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

About the Position:

The Data Analyst will play a crucial role in bridging the gap between business needs and technical solutions. This role combines elements of business analysis, data analysis, and product management, requiring a strong understanding of APIs, data pipelines, and business intelligence (BI) tools. This role will ensure our products are data-driven and aligned with strategic goals, while continuously driving growth in modernization and product digitalization.

Specific Responsibilities:

• Collaborate with business stakeholders and technical teams to gather, document, and deliver requirements.
• Analyze, define, document and present business processes, data flows, and system functionalities.
• Develop and implement end-to-end data solutions, including data extraction, transformation, and loading processes.
• Implement dynamic dashboards using tools such as power BI to generate reports, dashboards, and key performance metrics.
• Utilize statistical and/or machine learning techniques to draw actionable insights from large datasets.
• Work closely with Product Owners to define and prioritize product features and enhancements based on data-driven insights.
• Ensure proper product documentation, versioning, and best practices are maintained.
• Perform data analysis and validation to ensure data integrity and accuracy.
• Support testing efforts, including writing test cases, and validating system outputs.
• Identify opportunities for process improvements and automation within the product lifecycle.
• Stay up to date with industry trends and emerging technologies such as APIs, authentication, data analytics, and product management.
• Observe established safety regulations and comply with all ALS health and safety policies and procedures.
• Adhere to established Quality Systems requirements.
• Other duties as assigned.

Required Knowledge, Skills, and Abilities:

• Strong understanding of data integration, analytics, and business intelligence tools (e.g., Power BI).
• Strong problem-solving skills with the ability to analyze complex data and business processes.
• Background in working with data-driven applications.
• Proficiency in data analytics infrastructure, including Azure or AWS services.
• Proficiency in SQL for data analysis and querying.
• Knowledge of agile development methodologies.
• Experience writing user stories, technical documentation, and data workflows.
• Programming knowledge is considered an asset.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field.
• 5+ years in a similar role, blending business analysis and technical development.

Physical Demands:

• Manual dexterity to perform intricate and/or repetitive tasks such as keyboarding.
• Ability to use and view a computer screen for up to 8 hours per day.
• Ability to sit at a desk and do general office work, which includes periodic sedentary responsibilities.
• Ability to travel without assistance.

Our Benefits Include

• An estimated annual salary of $93,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.
• Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs)
• Additional vacation days for years of service
• Business support for education or training after 9 months with the company
• Learning & development opportunities (unlimited access to e-learnings and more)

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law.