Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services 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 Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.

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 a highly experienced and client-facing Solution Architect to serve as the senior technical leader for a critical Enterprise Data Platform (EDP) initiative. This role is responsible for driving the successful end-to-end migration of complex source system data into our new, highly governed platform built on AWS and Snowflake.

Key Responsibilities

Lead the technical discovery, design, and planning phases, effectively translating complex client business needs and requirements into detailed architectural blueprints and robust technical specifications.

Design and document the end-to-end data flow and pipeline orchestration, from various source system ingestion patterns (batch and streaming) to the final curated Gold Layer models, primarily utilizing AWS Redshift.

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

We are QUALCO, the technology arm of Qualco Group, with over 25 years of experience in delivering innovative solutions to the financial sector. We serve clients in over 30 countries, helping banks and other financial institutions manage credit and loans effectively while ensuring full regulatory compliance. Our advanced software leverages analytics, artificial intelligence, and digital technologies to support every stage of the credit and lending lifecycle, remaining at the forefront of fintech innovation. 

We are looking for a Software Engineer to join the development team of D3E, an end-to-end software solution for credit portfolio analytics providing data warehousing, descriptive analytics, and large-scale machine learning facilities. You will contribute to the evolution of our data processing infrastructure, working with distributed systems, cloud technologies, and supporting data-driven initiatives across the organization.

Description

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.

This role will be responsible for Architecture, Designing and implementing best data practices on the Azure platform.

Requirements

Tiger Analytics is one of the fastest growing advanced analytics consulting and Engineering services 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 Al, and our engineers bring innovative engineering techniques to enable scalable data platforms and data products that are insights driven. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business.

Requirements

Details:

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 Senior Director, Solutions Architecture in the United States.

We are seeking a strategic and people-focused Senior Director of Solutions Architecture to lead and expand a national team of technical experts. This role will drive the success of pre-sales initiatives and help build long-term customer relationships through technical excellence, solution alignment, and a deep understanding of client needs. As a core member of the revenue leadership team, you will oversee Solutions Architect Managers, support enterprise customers, and serve as a key link between go-to-market, product, and technical teams. This is an ideal opportunity for a results-driven leader who thrives in a fast-paced, customer-focused environment and has a passion for data infrastructure and scalable solutions.

Accountabilities:

·         Lead and grow a high-performing Solutions Architecture team across the U.S., with a focus on technical excellence and customer impact.

·         Partner closely with Sales and Customer Success to deliver scalable, tailored solutions that align with customer goals.

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 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.

The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities. The right candidate will have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards, be comfortable using visualization tools, and be able to apply your skills to generate insights that help solve business challenges.We are looking for someone who can bring their vision to the table and implement positive change in taking the company's data analytics to the next level.

Requirements

Key Responsibilities:

Data Integration:

Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools.

Support Data Modeling:

Assist in developing and optimizing the data model for Snowflake, ensuring it supports our analytics and reporting 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