Data Analyst

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland
Unlocking digital performance. Delivering measurable results.

As a Data Analyst you will be focused on:

• Analyzing complex scientific datasets to uncover meaningful insights and support strategic initiatives.
• Mapping key business process rules to ensure data solutions align with operational realities.
• Creating insight-driven solutions that bring visibility into critical KPIs and performance metrics.
• Conducting deep-dive analyses to solve challenging problems and support evidence-based recommendations.

In this role, primary responsibilities include:

• Engage Business Stakeholders at all levels to identify requirements for current and future products through ongoing interaction.
• Analyze business processes and develop business flow diagrams and data flow diagrams to support system design and optimization.
• Data Profiling, mining, and data validation/testing to ensure data is fit for use by the business.

• Analyze complex datasets using SQL Server to identify patterns, detect anomalies, and uncover embedded business rules.

• Lead requirements workshops and User Acceptance Testing for new data, products and analytics solutions.

• Work cross-functionally with engineering, product, and business teams to ensure alignment and successful delivery.
• Create compelling visualizations and dashboards to communicate key insights and trends.

• Perform ad-hoc analysis and present results in a clear and user-friendly manner.
• Build strong business relationships that foster a collaborative and trusting approach and partnership.
• Act as scrum master for the team and prepare detailed stories for developers.

We are looking for the following minimum qualifications for this role: 

• Bachelor degree in Business Management, Computer Science or any related field.
• Master in Business Administration/ Information Systems/ Computer Science is an asset.
• Excellent analytical and problem-solving skills with the ability to approach challenges creatively.
• Ability to understand and make sense of complex datasets with a strong attention to detail
• Ability to translate requirements to well-written user stories to bridge the gap between business and technology.
• Strong business mindset with ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery.
• Ability to see big picture and then identify key areas for deep analysis to support sound solutions.
• Self-driven and capable of working both independently and collaboratively within a team setting.
• Experience in life science or Biotechnology industry is a plus.

Technical Expertise required: 

• Minimum of 5 years’ experience in writing complex SQL queries, data mining, data profiling, and data validation/testing;
• Minimum of 5 years’ experience as a Business Systems Analyst / Data Analyst specializing in the Data & Analytics discipline, preferably in a senior or lead role;
• Minimum of 5 years’ experience organizing and running User Acceptance Testing cycles and training with business users and stakeholders;

• Experience working with Data Visualization Tools like Power BI, Tableau, Looker, MicroStrategy

• Experienced working in Agile Software Development Methodology.