About Tiger Analytics: Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

We are looking for someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

The Head of Analytics leads the group’s analysis, data and digital capability. The role leads modelling, transaction analysis and market data for Union Maritime, alongside the digitalisation and automation agenda. It uses data, analytics, automation and AI to improve the speed, quality and consistency of decision-making, and owns the models, tools and data foundations that the business relies on.

The new Head should bring strong technical and digital depth: hands-on credibility in data, financial modelling, BI, automation and applied AI, and the leadership to modernise how the group works with data.

Requirements

Transaction analysis and modelling

·         Lead the analytical evaluation of vessel acquisitions and disposals, newbuilding investments, fleet renewal and optimisation, and other strategic transactions across the group.

·         Build, own and modernise the group’s analytical and financial models, applying consistent standards, assumptions and version control.

·         Provide the analysis and models that underpin deals and transactions, including scenario and sensitivity analysis across varying market conditions.

·         Set modelling standards, templates and review processes so that transaction analysis is robust, consistent and auditable.

·         Present analysis and recommendations clearly to senior leadership.

About Union Maritime

Union Maritime Limited is a London-based shipowner and operator. Its core business is the product tanker market, focused on MR2 and larger vessels, alongside a presence in the dry bulk sector. The company is also investing in its future fleet, with newbuild hulls at Wuhu Shipyard in China. Decisions on when to buy, sell and build are central to the business, and the S&P / Strategy team sits at the heart of that work.

Role Purpose

The Junior Analyst will support the S&P / Strategy team in tracking the secondhand, newbuilding and demolition markets, analysing potential acquisitions and identifying areas for investment across tanker and dry bulk. Working closely with Guy Blunden, the Senior Associates and the Analyst, you will turn market data and broker intelligence into clear analysis, practical tools and well-reasoned recommendations.

Key Responsibilities

Market Monitoring & Intelligence

· Monitor vessel sales, asset values, newbuilding orders and contracting, and demolition activity on a daily and weekly basis across the tanker and dry bulk markets.

· Review broker reports and market intelligence, track comparable sales, and flag notable transactions, price movements and emerging trends to the team.

Asset Screening & Acquisition Analysis

The role focuses primarily on Power BI development and platform administration, alongside a strong understanding of data warehousing, dimensional modeling, and ETL/ELT processes. You will collaborate with business and technical stakeholders to deliver maintainable reporting solutions and support the evolution of the company's data architecture.

Key Responsibilities

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are looking for a Senior Azure Data Engineer with strong expertise in Microsoft Azure data services, Python, Scala, and Apache Spark. The ideal candidate will design, develop, and maintain scalable data pipelines and ETL/ELT solutions to support enterprise data platforms.

Key Responsibilities:

About Tiger Analytics

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

What you will be doing

We are seeking a Senior Data Engineer to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines, processing large datasets, and managing scheduled data workflows to support enterprise data engineering initiatives.

Key Responsibilities:

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 complex problems with tech, and figuring out what really drives credit risk and customer behaviour? Are you equally skilled at balancing deep analytical thinking with pragmatic execution, and always delivering on time? If you’re ready to take your data science, 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 an experienced and AI-fluent, seasoned life sciences professional to take end-to-end ownership of designing and building data architecture and data products for our client. In this role, you will lead the development of an AI-ready data analytics ecosystem, drive business solutions at the intersection of data and complex processes, and play a critical role in expanding our footprint by cultivating strong client relationships and identifying new adjacencies.

RESPONSIBILITIES:

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