Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for someone with a good blend of business consulting skills and data analytics background.

Responsibilities:

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a business-first, analytically strong consultant who can work directly with business leaders to understand complex decisions, challenge conventional thinking, and rapidly translate business needs into data- and AI-enabled solutions.

This is not a traditional requirements-gathering role. The consultant will be expected to understand how the business operates, identify the decisions that matter, determine what information and analysis are needed, and rapidly mobilize AI/Agentic tools, data and specialist teams to solve the problem.

The ideal candidate has operated in an environment where they have regularly used data and analysis to support business decisions and is excited about learning and applying emerging AI technologies.

Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a Delivery Lead with 10–15 years of experience to manage multiple concurrent value streams and drive initiatives from strategy through execution. The ideal candidate will bring strong Retail/CPG industry experience, a business-oriented mindset, and expertise across Pricing, Supply Chain, Sales & Marketing, and Demand Planning & Forecasting.

This role requires the ability to identify bottlenecks impacting value realization, prioritize high-impact interventions, and work closely with business and analytics teams to deliver measurable outcomes.

Key Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for a business-first, analytically strong consultant who can work directly with business leaders to understand complex decisions, challenge conventional thinking, and rapidly translate business needs into data- and AI-enabled solutions.

This is not a traditional requirements-gathering role. The consultant will be expected to understand how the business operates, identify the decisions that matter, determine what information and analysis are needed, and rapidly mobilize AI/Agentic tools, data and specialist teams to solve the problem.

The ideal candidate has operated in an environment where they have regularly used data and analysis to support business decisions and is excited about learning and applying emerging AI technologies.

Responsibilities

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.

We are looking for a Forward Deployed AI Engineer to build and deploy enterprise GenAI, RAG, Agentic AI, and Knowledge Graph solutions. The role involves working directly with customers, rapidly developing POCs/MVPs, and taking solutions into production.

Requirements

GoMining is looking for an experienced SEO specialist ready to take their skills to the next level. This is a chance to work on genuinely challenging, large-scale projects alongside marketing professionals who are eager to learn from each other and grow. We expect you to work autonomously while staying aligned with the broader team and business agenda.

You'll report to the Head of Organic Acquisition, and you’ll coordinate closely with those functions to keep GoMining's brands represented consistently everywhere they're found — in search, in AI assistants, on social, and in app stores.

We are hiring on behalf of our client a Tester / QA.

The mid-level Tester / QA will join a dynamic team and ensure the quality and reliability of the company's software. The role involves planning and executing manual and automated testing, identifying and tracking defects, and working closely with developers and stakeholders to support high-quality releases.

Responsibilities

Test Planning & Documentation

• Develop and maintain test plans, test cases, scenarios, and scripts.
  
• Define testing strategies based on requirements.
  
• Prepare test data and maintain QA documentation.
  
• Review requirements and acceptance criteria to identify potential risks.
  

Manual Testing

• Create and execute manual test cases for new features and modules.
  
• Perform functional, regression, integration, system, and UAT testing.
  
• Conduct exploratory testing to identify defects and edge cases.
  
• Log, track, and verify defects throughout the defect lifecycle.
  

Automation Testing

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

Do you love diving into data, solving problems with tech, and learning how fintechs get funded by lenders? Are you equally skilled at balancing deep thinking with pragmatic execution, and always delivering on time? If you’re ready to take your strategic thinking, advanced analytic skills, and knack for digging into the details to the next level, while leaving your mark on a rapidly growing organization, we want to hear from you!

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Senior Knowledge Graph Analyst to lead the architecture, design, and implementation of an enterprise Knowledge Graph for a major client. Bringing a minimum of 6 years of hands-on experience in data governance and graph implementations, you will bridge technical graph development with strategic data governance frameworks. You will model complex data ecosystems across ontology, taxonomy, end-to-end lineage, data sources, critical data elements (CDEs), and quality metrics. Located in Toronto, you will act as a primary partner to business leadership, translating business needs into performant Neo4j graph structures.

Responsibilities

We are seeking an experienced MLOps Lead Engineer to take full ownership of our enterprise Machine Learning operations on the Databricks Lakehouse platform. In this role, you will design, automate, and govern end-to-end ML production lifecycles—spanning continuous integration and deployment (CI/CD/CT), central governance, and real-time observability. You will act as the principal technical authority, bridging platform engineering with client-side operations by leading upskilling initiatives for onsite engineering teams.

Requirements