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 highly experienced Techno-Functional Consultant who will lead Pricing Operations while driving the technology direction and architecture strategy across Google Cloud, Data Science Modeling, Agentic AI, Software Engineering, and Solution Architecture.

This is a hybrid role requiring strong business acumen in pricing and commercial operations, combined with deep technical expertise to design scalable, AI-driven, cloud-native solutions that enable intelligent pricing, automation, and data-driven decision-making.

The ideal candidate bridges business and engineering teams, ensuring pricing strategy is operationally efficient, analytically robust, and technologically advanced.

RESPONSIBILITIES:

1. Pricing Operations Leadership

Data Eng - Analytics and GTM

Location: New york

Onsite | Full-time

Compensation: $140K - $220K

We are hiring on behalf of our client, an aggressively growing, well-funded fintech startup (Series A, $27.9M+ raised) on a mission to bring full transparency to global trading. They are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built on-chain. By leveraging open, auditable code, we ensure that every trade, deposit, and withdrawal is verifiable. Backed by world-class investors including General Catalyst, Jump, and Susquehanna, they are looking for a Data Engineer to build the analytics engine that will power their next phase of growth.

The Role

As the Data Engineer for Internal Analytics & GTM (Go-To-Market), you will own the data systems that help them understand their users, optimize their growth motion, and drive better decision-making across the business. Your mandate is to turn raw on-chain and product data into reliable, self-serve analytics that fuel acquisition, retention, and revenue.

What You’ll Do

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:

We are looking for a lead analyst to help bridge the gap between strategic vision and execution behind our Collections and Recovery operations. We don't need you to be a collections expert! We can teach you about the industry. What we need is someone who naturally looks at a process and policies to maximize value and efficiency.

You will use data to determine how we move files through our system, which partners we use, and where we should be doubling down to improve performance.

What you’ll do:

Tiger Analytics is looking for experienced Data Scientists to join our 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.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in forecasting models, including ARIMA, time series modeling, and PMPM forecasting, preferably within the healthcare domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Key Responsibilities

About Tiger Analytics

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.

Job Description

We are looking for a highly skilled Full Stack Gen AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.

Key Requirements:

Dynatrace Observability Engineer

Location: Mclean, VA – Local Candidates Only

Job Function: Information Technology

Industry: IT Services

Our firm has been retained to find a highly skilled Dynatrace Observability Engineer to design, implement, and optimize a world-class enterprise observability ecosystem. In this role, you will be the technical lead for our client's visibility strategy, leveraging Dynatrace’s APM, Infrastructure Monitoring, RUM, and Davis AI capabilities to ensure system reliability and proactive incident detection across hybrid and multi-cloud environments.

You will collaborate directly with SREs, DevOps, Cloud Engineering, and business stakeholders to build scalable solutions that empower faster troubleshooting and data-driven decision-making.

Key Responsibilities:

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements

Tiger Analytics is an advanced analytics consulting firm recognized for our deep expertise in Data Science, Machine Learning, and AI. Our partnerships with Fortune 100 companies enable us to tackle complex business challenges and drive value through innovative analytical solutions. We are currently looking for a Sr. Consultant/Manager to join our team and contribute to transformative projects.

The ideal candidate will leverage their strong understanding of banking risk and compliance to develop and validate predictive models and frameworks for strategic decision-making.

Responsibilities-

1. Work in a consulting engagements focused on leveraging Data Science/Advanced Analytics to solve complex business problems in banking risk and compliance.

2. Data Analysis: Utilize advanced analytical techniques to identify trends, analyze data and provide insights into potential performance impacts.

3. Cross-functional Collaboration: Engage with internal stakeholders, including risk management, financial planning, and credit policy teams to ensure the effective implementation of forecasting models.

4. Reporting and Presentation: Prepare and present detailed reports to senior leadership, highlighting model performance, findings, and actionable insights.

Requirements

Tiger Analytics is a leading advanced analytics consulting firm, partnering with several Fortune 100 companies to leverage data for creating significant business value. We pride ourselves in our deep expertise in data science, machine learning, and AI, which has earned recognition from notable market research firms, including Forrester and Gartner.

We are seeking a Techno-Functional Analytics Consultant to lead end-to-end client analytics programs. This role sits at the intersection of business strategy, data, and delivery. The consultant will partner closely with client stakeholders to understand business processes and data, co-design analytics solutions, guide hands-on analysis, oversee delivery execution, and clearly articulate business value to executive audiences.

Responsibilities:

Founding Product Engineer

Location: San Francisco, CA (In-person)

Compensation: $150K – $200K • 0.10% – 0.25% Equity

On-site | Full-time

Our client is a high-growth, YC-backed startup based in San Francisco that is developing the definitive platform for understanding and improving engineering team dynamics. By leveraging modern AI, the organization provides an accurate and actionable view of productivity, impact, and collaboration—moving beyond traditional vanity metrics to focus on better engineering outcomes.

Having secured a $4.2M seed round from top-tier investors, our client has delivered consistent double-digit month-over-month revenue growth and is now looking to expand the core team. As a Founding Product Engineer, the successful candidate will play a pivotal role in defining both the product direction and the technical foundation of the company. This is a rare opportunity to join at the ground floor and influence how millions of engineers and leaders understand their work.

Key Responsibilities