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 also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Data Science Lead to lead our Pricing and Promotion Optimization team. In this role, you will drive the development and execution of product strategies that enhance pricing and promotion initiatives. The ideal candidate will have a strong background in product management with a focus on analytics-driven decision-making, as well as proven experience in roadmap planning and cross-functional team leadership.

Key Responsibilities:

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 also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are seeking an experienced Data Science Manager to lead our Pricing and Promotion Optimization team. In this role, you will drive the development and execution of product strategies that enhance pricing and promotion initiatives. The ideal candidate will have a strong background in product management with a focus on analytics-driven decision-making, as well as proven experience in roadmap planning and cross-functional team leadership.

Key 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 seeking a Supply Chain Analytics Consultant with strong experience in the Retail or Consumer Packaged Goods (CPG) industry. The role focuses on leveraging data and analytics to generate insights that support strategic decision-making across supply chain operations.

The ideal candidate will work closely with business stakeholders and analytics teams to analyze large datasets, uncover operational insights, and deliver data-driven solutions that improve supply chain efficiency, forecasting accuracy, and overall business performance.

Robusta assists organizations in transitioning to a digital-first approach, crafting unforgettable experiences for their customers. We provide strategy, design, product, and technology services to prominent businesses and brands, utilizing our go-to-market expertise to facilitate seamless customer experiences and enhance conversion rates.

About the Role

RTG is seeking a strategic and hands-on Head of Design to lead our UI/UX function across digital products, platforms, and client solutions. This role is responsible for defining and driving the design vision, ensuring the delivery of user-centered, scalable, and high-quality digital experiences aligned with business objectives, product roadmaps, and technology strategy.

You will act as the senior design authority, lead and grow a high-performing UI/UX team, and collaborate closely with product, engineering, and business stakeholders.

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 several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku 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. 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

LawnStarter is the nation’s leading on-demand marketplace for lawn care and related services, allowing hundreds of thousands of customers nationwide to book a service with the tap of a button. But lawn care is only the beginning - our vision is to become the one-stop shop for all home services.

Our company is flourishing at an incredible pace, profitable and achieving remarkable success. And we're not stopping there! We're actively seeking talented and hard-working individuals like you to join our team and help us achieve our ultimate vision.

Role Summary:

The Assistant Manager - Retention plays a critical role in maximizing customer lifetime value by leading retention strategies and initiatives that reduce churn and drive save rate. This role combines people leadership with analytical rigor, supporting and developing a retention team while leveraging customer data and cross-functional partnerships to identify at-risk customers and implement proactive intervention strategies. The ideal candidate will balance operational excellence with strategic thinking, owning key retention metrics while continuously optimizing processes and workflows that strengthen customer relationships and improve the overall LawnStarter experience.

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 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

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 several Fortune 100 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 analytics global consulting team in the world.

We are seeking an experienced 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

What You’ll Do:

At HSO, we’re looking for a Product Manager to join HSO Studio - our global product development team. HSO Studio is where ideas become impact: a collaborative, forward-thinking environment where we design and build cutting-edge Microsoft-based solutions that drive business transformation for customers worldwide. As part of this dynamic team, you’ll have the opportunity to solve complex problems creatively, shape industry-leading products, and work with an exceptionally talented global group of engineers, designers, and product experts.

In this role, you will help define and deliver the vision, strategy, and roadmap for a portfolio of global products. You will work closely with a Senior Product Manager, who provides strategic oversight across our Professional Services CRM and Power Platform/CE product suite. This position offers a strong growth trajectory, with the potential to step into a product leadership role in the future.

As a Product Manager, you’ll collaborate with industry leaders, product marketing, business development teams, Microsoft, and key strategic customers to deliver solutions that drive measurable business impact. You will also help elevate the maturity of our product development organization by applying your experience in effective product management practices, engineering methodologies, and modern ways of working.

Key Responsibilities