Junior Data Analyst (Product Focus)

Location: London, New York City (Office)

Compensation: $175K - $225K + Tokens/Equity

We are seeking a motivated Junior Data Analyst who is eager to learn, grow, and make a significant impact in a fast-paced environment at the intersection of consumer technology and next-generation finance. In this role, you will play a crucial part in supporting data initiatives across our product, helping various teams make informed decisions through clear analysis, reporting, and insight generation.

You will work closely with senior data staff while gradually taking on more ownership as you develop your skills in a supportive, high-autonomy environment.

As a Junior Data Analyst, you will support critical data initiatives, translating raw data into actionable insights that directly influence product strategy and user experience. You will be instrumental in tracking key performance indicators (KPIs) and uncovering opportunities for growth and optimization.

AI Agent Engineer (Remote)

A rapidly scaling leader in the telehealth and AI space is seeking an AI Agent Engineer to join their remote team. We are committed to leveraging technology to improve access to essential services and are looking for a hybrid problem-solver to drive our next phase of AI-driven workflow transformation.

This full-time, remote (US-based) role is critical for expanding agentic workflows that reduce manual effort and improve service accessibility. You will be instrumental in the end-to-end lifecycle of our AI agents, from initial discovery to operational management and continuous improvement.

We are looking for a unique combination of skills:

• The Investigator: Dive deep with stakeholders (end-users and executives) to map existing workflows, identify pain points, and translate messy processes into precise agent tasks, policies, and success metrics.
• The Sprinter: Rapidly develop and deploy agents using a low-code AI agent orchestration environment. You'll manage a roster of 15+ agents, driving their continual improvement and measurable impact.
• The Technician: Traverse internal APIs and self-serve to build and refine internal API action endpoints, safely integrating agents into our technical ecosystem.

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

Researcher - Automated On-Chain Economic Security

Location: Remote - Preference for NYC but will accept USA + Europe remote working EST hours

Compensation: $120K - $150K

We are the first automated, on-chain economic security system, trusted by leading protocols to manage and secure billions of dollars in assets across the DeFi ecosystem. Our platform helps crypto protocols optimize risk management and capital efficiency by analyzing protocol mechanics and scenario implications using custom EVM simulations. We are seeking a proactive and results-driven Researcher to join our team, reporting directly to the Head of Economic Research & Strategy.

You will play a critical role in conducting in-depth protocol research, modeling risk parameters, and shaping strategic research initiatives across high-impact DeFi projects. This role requires a strong blend of quantitative analysis, risk modeling expertise, and clear communication to both clients and the broader community.

Responsibilities:

DSI Systems Inc., an authorized AT&T partner and premier Dallas-based sales enablement company, is looking for a highly skilled and experienced DOMO Data Architect to join our growing data and analytics team. You'll be responsible for the design, development, implementation, maintenance, and ongoing administration of our Domo platform. This role requires a deep understanding of Domo's capabilities, best practices for data integration and visualization, and strong administrative skills to ensure optimal performance, security, and user experience. You'll also play a key role in collaborating with our external Domo consultants to enhance our platform's capabilities.

This is an in-office position that will report to our location in Richardson, Texas.

About DSI

Founded in 1984, DSI is a family-owned company committed to delivering exceptional value and measurable results to our clients and partners. Our comprehensive services include sales management, marketing support, hardware logistics, immersive training, engineering expertise, and proprietary software solutions—all designed to drive growth and operational efficiency.

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.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python, and ETL processes. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.

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.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a results-driven Senior Analytics Consultant with a strong background in healthcare payer data and technical expertise in SQL, Python, and ETL processes. In this role, you’ll work closely with stakeholders to uncover insights from complex datasets, develop impactful data solutions, and support strategic decision-making across healthcare payer organizations.

Responsibilities

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 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 Data Analyst, Autonomy in United States or Canada.

This is an exciting opportunity for a data-driven professional to play a pivotal role in advancing the future of autonomous delivery technology. As a Data Analyst on the autonomy team, you’ll collaborate closely with engineering, product, and operations teams to optimize performance and identify key opportunities through data. You'll turn complex datasets into actionable insights, build dashboards, and influence real-world robot behavior. If you enjoy solving tough analytical problems in fast-paced, tech-driven environments, this role offers both challenge and impact.

Accountabilities: