At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data.

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. Today, the data we extract helps over 3,000 companies and 1 million developers make smarter business decisions, secure competitive advantage, and drive sustainable growth.

As our New Business Global Sales Manager, you will own new logo bookings for the business.

This is a first-line sales leadership role with full accountability for building, executing and scaling the new business motion. You will lead a team of Account Executives and BDRs responsible for pipeline creation and enterprise deal execution. Your mandate is to create a predictable, repeatable engine for new logo acquisition.

This role requires a hands-on sales leader. You will coach deals, enforce MEDDPIC rigour, hire and develop top talent and personally raise execution standards across pipeline quality, forecasting accuracy and win rates.

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 seeking an experienced Technical Business Analyst / Consultant with strong expertise in technical requirement gathering, program management, and a solid understanding of the AWS ecosystem. The ideal candidate will act as a bridge between business stakeholders and technical teams, ensuring clarity, alignment, and successful delivery of solutions.

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. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership.

We are seeking a Manufacturing Analytics SME to provide subject-matter expertise to build manufacturing intelligence solutions by integrating shop-floor, MES, historian, and enterprise data to enable real-time analytics and operational use cases across business units and domains.

The ideal candidate will be comfortable working in a fast-paced, multitasking environment, engaging with both internal teams and client stakeholders, and translating manufacturing data into meaningful business decisions.

Responsibilities:

• Provide SME support in building manufacturing intelligence applications 
• Advise on the integration of MES, historians (GE Predix / OSI Pi), and enterprise data platforms
• Enable use cases such as Predictive/Preventive Maintenance, Digital Twin, Production & Process Monitoring, and OEE
• Support development of real-time and near real-time shop-floor analytics

Requirements

Our team is developing a set of services that support the company's operational activities, starting with the gaming platform itself, back-offices, and data analytics. The product is being developed by a small team of experienced professionals.

We work extensively with databases and distributed systems, discuss and implement architectural solutions, and conduct RND procedures to check the performance of certain solutions. We are looking for a team member who will work as part of the DevOps Team and collaborate closely with cross-functional teams to maintain and improve the current delivery workflow.

Requirements

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

The Account Executive (AE) role in Zyte is considered a business critical position.  It’s this cohort of the sales organisation that drives new business acquisition and top-line revenue growth.  The Sales team are highly target oriented, tasked with achieving monthly and quarterly booking and invoice objectives, while also strategically driving growth in areas dictated by strategic business needs.

Are you...

Ready to take on a new challenge and sit at the helm of an exciting new opportunity?

Hungry to win?

Extremely well organized and self-motivated?

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

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies.

Requirements

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. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership.

We are seeking a Commercial Excellence Lead to manage and drive the financial performance of a key strategic account. This role will be responsible for overseeing account-level financials, ensuring strong revenue and margin performance, managing Statements of Work (SoWs), and providing actionable financial insights across business units and domains.

The ideal candidate will be comfortable working in a fast-paced, multitasking environment, engaging with both internal teams and client stakeholders, and translating financial data into meaningful business decisions.

Responsibilities:

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Engineering, 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 an experienced Lead Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

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.

As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. We are seeking a Senior Data Scientist (GenAI) to lead LLM model development for AML/Risk use cases. This role will work closely with business stakeholders to translate AML and risk requirements into scalable GenAI/LLM-based solutions. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

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.

We are seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to join our data team. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements