Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

The Azure Data Engineer will be responsible for designing, and implementing advanced analytics capabilities.

Requirements

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are expanding our Data Engineering practice and looking for Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

Requirements

Below are the specifics.

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

This is not a research seat where models get handed off to someone else's pipeline — you design the strategy, write the code, deploy it, and own it in production. If you want your models allocating real capital onchain within weeks of joining, read on.

Depending on your background and interests, you'll join one of our vault strategy teams. Our strategies span lending and credit curation, cross-chain yield aggregation, structured products, RWAs, and more. Teams own the full strategy lifecycle: research and protocol due diligence, strategy design and backtesting, allocation and rebalancing engines, onchain execution and optimization, and 24/7 monitoring of live positions. You own strategies end-to-end and are accountable for their performance, safety, and uptime.

What you'll do;

- Design and ship vault strategies: take a strategy from thesis and design doc through implementation, simulation, deployment, and live operation — RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, prediction markets, and new product types we haven't built yet.

- Optimize strategies: signals research, execution optimization, gas-aware rebalancing across tokens and chains, liquidity and duration management.

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:

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics is looking for a highly experienced Senior Solution Architect with 15+ years of overall experience, including 10+ years of hands-on experience in data architecture and relevant cloud data technologies. The ideal candidate will have strong expertise in Azure, Snowflake, and Databricks, along with deep knowledge of enterprise data warehouse architecture, data modeling, data pipelines, transformation frameworks, data security, and governance.

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!

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta, delivered through small teams working inside each client's environment. We are hiring Forward Deployed Engineers: the engineer embedded in a client's team who owns the system and whether it works, from the first conversation through to whatever breaks after release. The role is fully remote across Latin America, aligned to your client's working day.

Azumo has shipped production AI & Software since 2016, and on these engagements there is no analyst writing the requirement, no QA phase waiting to catch what you missed, and no architect approving your design. Those calls are yours to make and yours to answer for. If you have only ever worked with those roles in place, this is not the seat to start in. We have other openings that probably fit you better.

Where this role sits

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!