L2-Data Engineering - Ally

Company Description:

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.

Job Description:

Sr. BI & Data Analyst

Job Summary

As a BI & Data Analyst, you’ll be a key driver of insight and innovation within our Enterprise Data and Analytics team. We’re looking for a curious, detail-oriented professional who thrives on turning complex scientific and operational data into clear, actionable intelligence. In this role, you’ll lead the development of analytical solutions that illuminate critical KPIs, uncover performance trends, and support strategic decision-making across the business. You’ll partner closely with stakeholders to map business processes, align data solutions with real-world operations, and conduct deep-dive analyses that solve high-value challenges. This is a high-impact opportunity to shape how data informs strategy and contributes to our mission of creating healthier lives.

As a BI & Data Analyst you will be focused on:

Our team thrives on curiosity, collaboration, and a commitment to excellence. We work closely with cross-functional engineering and business partners to deliver impactful data and analytics solutions that shape the future of research and development.

In this role, primary responsibilities include:

• 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.
• Engage Business Stakeholders at all levels to identify requirements for current and future products through ongoing interaction.

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

• Analyze business processes and develop business flow diagrams and data flow diagrams to support system design and optimization.
• Work cross-functionally with engineering, product, and business teams to ensure alignment and successful delivery.

• Data Profiling, mining, and data validation/testing to ensure data is fit for use by the business.
• 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.

Qualifications:

• 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.