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 looking for an experienced Business Intelligence (BI) Consultant to join our team in Beaverton, Oregon. The ideal candidate will have a strong technical background in SQL and Tableau, along with proven experience in the Retail domain. This role requires someone who can translate complex data into meaningful insights that support business growth and strategic decision-making.

Key Responsibilities

Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions.

Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech consultancy group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.

Job Overview:

The Data Visualization Engineer is responsible for transforming complex datasets into clear, engaging, and actionable visual insights. This role bridges the gap between data analytics and business decision-making by developing interactive dashboards, visual reports, and storytelling solutions that help stakeholders understand data patterns and trends effectively

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. 

As an Innovation engineer, you will play a pivotal role in driving ideation, rapid prototyping, and early-stage incubation of AI and GenAI initiatives. We are obsessed with customer centricity and strongly believe in an "outside in" human centered approach. You will help craft the innovation lifecycle—from problem discovery to proof-of-concept and transition to path 2 pilot — working closely with business partners, platform engineers, product, and researchers.

This is a hands-on, highly collaborative role that bridges the gap between imagination and implementation—leveraging platform capabilities, reference architectures, standards, and starter kits. You’ll also play a key role in shaping strategy and recommendations through experimentation and assessment, presenting insights to stakeholders with clarity and impact. Strong storytelling skills and the ability to craft compelling slide decks and pitch presentations are essential to success in this role.

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. The ideal candidate will have hands-on experience leveraging Python, PySpark, and graph-based approaches (preferably with NetworkX) to solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. 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 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. The ideal candidate will have hands-on experience leveraging Python, PySpark, and graph-based approaches (preferably with NetworkX) to solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. 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

Our client is a well-funded, early-stage startup solving one of the most critical challenges in the AI industry: ensuring AI applications are safe, reliable, and ready for production. They are building a platform that provides best-in-class tools for evaluation, testing, and continuous improvement of AI models.

Founded in 2024, the company is already working with leading AI labs like OpenAI and Anthropic, as well as other major enterprises. Their team is composed of top talent from companies like Datadog, Citadel, and McKinsey, and they are backed by founders and executives from tech powerhouses such as Google, Stripe, and Databricks.

Our client is seeking a talented Full-Stack Software Engineer to build their AI reliability platform. In this role, you will have a direct impact on how AI is tested, verified, and deployed across the industry. You'll own the end-to-end development of new features, from designing user-facing workflows to creating reusable frontend components and visualizations for complex concepts.

You will also have the unique opportunity to:

• Collaborate directly with the research team on safe AI tooling.
• Interface with customers to design intuitive workflows and guide them in evaluation methodologies.

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.

Data QA is an important function within Zyte. The Data QA team works to ensure that the quality and usability of the data scraped by our web scrapers meets and exceeds the expectations of our enterprise clients. 

Are you passionate about data and data quality and integrity?

Do you enjoy using Python and AI to analyze and manipulate data, detect data quality issues, and visualize your findings?

Are you highly customer-focused with excellent attention to detail?

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a BI Developer in Canada.

As a BI Developer, you will play a critical role in designing and maintaining business intelligence dashboards that support both internal teams and external clients. You’ll work with large datasets to build insightful visualizations that drive business decisions and enhance data quality. Collaborating closely with data engineers, product teams, and business users, you'll ensure the accuracy, functionality, and presentation of dashboards using tools like ThoughtSpot, Tableau, and SQL. This role is ideal for someone with a strong eye for detail, a passion for data storytelling, and the flexibility to learn new tools quickly.

Accountabilities:

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Sr. Data Scientist / Sr. Analytics Engineer in the United States.

This role is ideal for a data expert who thrives on transforming raw information into actionable insights and scalable data models. You’ll work within a growing Analytics team to support business decision-making through rigorous data analysis, visualization, and transformation. Your work will span ad hoc analysis, data modeling using dbt, and reporting through SQL and visualization tools. You’ll collaborate closely with stakeholders across the organization, making complex data accessible and usable for non-technical teams. This is not a machine learning-focused role, but one that requires strong analytical thinking and an engineering mindset for data infrastructure and communication.

Accountabilities:

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Lead Business Analyst in the United States.

This is an exciting opportunity for an experienced business analyst to play a key role in delivering strategic insights that drive cyber resilience for some of the world’s leading organizations. In this role, you'll leverage a robust platform and data analytics to help customers assess and improve their cyber posture, focusing on human-centric threats and metrics. You'll work closely with cross-functional teams and key stakeholders to provide data-driven recommendations, clear visualizations, and tailored reports that guide both internal strategies and customer outcomes. This role combines technical acumen with client engagement to help organizations meet their cybersecurity goals.

Accountabilities: