We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.

About the Job

We are seeking a Data Manager Support to assist the Data Management team in ensuring the accuracy, integrity, and quality of clinical trial data throughout the study lifecycle.

The role focuses on assessing data quality, measuring FAIRness, reinforcing data integrity, and supporting referential data controls, while contributing to reporting, documentation, and dashboarding activities.

Main Responsibilities:

• Assess data quality within the defined scope and identify areas for improvement.
• Measure and document the FAIRness (Findable, Accessible, Interoperable, Reusable) of data assets.
• Contribute to Data Integrity analyses of critical business and technical processes.
• Document data assets and processes using ad‑hoc tools such as data catalogs and data contracts.
• Implement and monitor data quality controls on referential data managed by the department.
• Contribute to dashboarding and automation initiatives to support data monitoring and reporting.
• Produce monthly activity reports and deliver mission‑related documentation in line with applicable procedures.

Requirements

About You

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, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

The Tiger Analytics team is seeking a BI Consultant to deliver innovative tools and solutions to global business teams. This is a cross-functional role that requires strong interpersonal skills and the ability to liaison with technical teams and clients.

Job Duties:

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.

Tiger Analytics is committed to transforming analytics through technology and innovative solutions for our clients. We are a leading advanced analytics consulting firm that partners with organizations to leverage their data to drive meaningful business outcomes. With a strong focus on AI and data science, we help Fortune 100 companies unlock the value of their data through scalable and efficient engineering solutions.

We are currently seeking a Data Engineering Lead to spearhead our data initiatives. In this role, you will be responsible for designing and implementing data engineering projects, ensuring optimal data architecture, and leading a team of engineers to deliver high-quality data solutions. You will work closely with cross-functional teams to ensure that data strategies align with business objectives and drive actionable insights.

Requirements

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, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

The Tiger Analytics team is seeking a BI Consultant to deliver innovative tools and solutions to global business teams. This is a cross-functional role that requires strong interpersonal skills and the ability to liaison with technical teams and clients.

Job Duties:

Quant / Trading Engineer

Location: US remote preferred, open to Europe for strong candidates

Compensation: Competitive

We are building a foundational layer for the next generation of financial markets: perpetual markets based on onchain economic activity. Instead of merely pricing assets or narratives, our platform allows traders and autonomous agents to take directional exposure to the growth or decay of applications, protocols, and infrastructure within the onchain economy.

We deploy directly into the Hyperliquid ecosystem, optimizing discovery and execution through our dedicated application. As a member of our early-stage team, you will work at the intersection of quantitative finance, crypto market structure, and high-performance onchain data systems.

Your mission is to build the signal layer and APIs that make autonomous trading agents materially more effective. You won’t just be moving data; you’ll be converting raw market behavior into high-fidelity, agent-readable signals.

Join InfyStrat as a Snowflake Developer, where you will play a vital role in transforming our clients' data into actionable insights. As a part of our talented team, you will design and develop scalable data solutions using Snowflake, ensuring that our data architecture is robust and efficient. This position requires innovative thinking and a passion for optimizing data workflows, thus enabling informed decision-making. If you are looking for an exciting challenge in a fast-paced environment, we invite you to be a part of our journey!

Contract: 3 months extendable

Key Responsibilities

• Design, develop, and maintain data models and ETL processes using Snowflake.
• Collaborate with cross-functional teams to collect, analyze, and transform large datasets.
• Optimize and tune SQL queries and Snowflake performance for enhanced efficiency.
• Implement data governance practices to ensure data integrity and security.
• Conduct data analysis and visualization to support business intelligence initiatives.
• Stay updated with Snowflake features and best practices, proposing improvements actively.
• Prepare technical documentation and provide training to team members as needed.

Requirements

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 have been recognized by various market research firms, including Forrester and Gartner.

We're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences.

Overview

As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively.

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. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a MDM Lead who will be responsible for designing, implementing, and governing enterprise Master Data Management solutions supporting Commercial operations in Life Sciences industry. This role requires deep hands-on expertise in MDM platforms (primarily Informatica), strong understanding of Pharma Commercial data domains, and the ability to translate business strategy into scalable data architecture and operating models..

RESPONSIBILITIES: