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Technology Partner - Banking and Financial Services (BFS)

posted by: spj_bot

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.

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

 

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Manager, BI Consulting - Canada

posted by: spj_bot

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:

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Azure Databricks Senior Architect

posted by: spj_bot

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

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Senior Data Engineer

posted by: spj_bot

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

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.  We are seeking Data Engineers who are passionate about marrying data with emerging technologies.

Requirements

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Lead Data Engineer

posted by: spj_bot

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

Job Skills

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Lead Data Engineer

posted by: spj_bot

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:

Job Skills

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Data Warehouse Senior Consultant - Remote - Octopus by RTG

posted by: spj_bot

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Warehouse Senior Consultant for one of our partner organizations in KSA, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Job Purpose
The Data Warehouse Senior Consultant is responsible for overseeing, coordinating, and supporting the implementation and operation of the organization’s enterprise Data Warehouse built on Microsoft Fabric. The platform leverages Data Factory, Synapse, and Power BI for data integration, modeling, and visualization. This role ensures effective collaboration with external implementation vendors, validates solution design, and builds internal data capabilities through knowledge transfer during the project phase. After implementation, the role will manage ongoing operations, governance, and performance of the Data Warehouse.

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Analytics Engineer

posted by: spj_bot

Analytics Engineer

Full-time | On-site

Location: New York

We are a technology company leveraging AI and data to solve complex operational challenges in a life sciences context. We are seeking a highly motivated Analytics Engineer to build the robust data foundation that powers our operations, client reporting, and strategic growth. This is a high-autonomy, high-impact role essential for driving better, faster decisions across the entire organization.

As an Analytics Engineer, you will be the owner of our core data assets and practices. You will ensure data is clean, consistent, and readily available as a source of truth for all internal and external stakeholders, from product to leadership to key clients.

Key Responsibilities:

Job Skills

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Director / Senior Manager, Enterprise Applications

posted by: spj_bot

About Us

Soar is a global fintech startup that specializes in financing and investment. Currently headquartered in Saudi Arabia, Soar is growing throughout the region with a mission to help people achieve their financial goals with innovative financial andproperty investment solutions and tools through its multi-purpose platform, designed to offer a simple and seamless user experience.

Role Summary

As the Director / Senior Manager of Enterprise Applications, you will be the single point of accountability for building and managing Soar's entire portfolio of internal business systems. This is a high-impact, strategic role responsible for selecting, implementing, and integrating the critical software (like SAP, Hubspot, and our Treasury/Loan Management Systems) that will power our growth. You will act as the key bridge between our business leaders, procurement, cybersecurity, and engineering teams, owning the implementation roadmap and ensuring our tech stack integrates seamlessly with our data warehouse.

Key Responsibilities

Job Skills

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Senior Full Stack Engineer (Platform)

posted by: spj_bot

Senior Full Stack Engineer - (Platform)

Location:Remote - Preference for NYC - Or Remote USA OR EUROPE to work a 5 hour overlap with EST hours

Remote | Full-time

Compensation: $144K - $164K

Our client is a pioneer in automated, on-chain economic security, providing a sophisticated system that enables crypto protocols to optimize risk management and capital efficiency. By analyzing protocol mechanics and scenario implications through world-class custom EVM simulations, the platform provides actionable insights trusted by leading decentralized finance (DeFi) protocols to manage and secure billions of dollars in assets.

The organization is seeking a proactive and results-driven Senior Full Stack Engineer to join the team. Reporting directly to the Platform Team Lead, the successful candidate will play a critical role in building data-driven dashboards and tools to support complex risk analysis. This role involves close collaboration with research and protocol teams to deliver high-quality frontend and backend components that power essential security insights.

Key Responsibilities

Job Skills

adaptability professional health benefit mentorship high level api management risk management security policy collaborating research scalable integration operating cloud GCP code review node js quality engineering maintainability supervision dashboards visualize cloud native analyzing protocol backend data services api design tooling experience design web application essential security problem solve manager curiosity finance accountability python user interface managed securely best practices communication skills collaboration development architectural pipelining innovation analytics economic blockchain automated family support cross functional teams data sources performance optimization API initial screening graphql simulations react applicable data risk analysis data warehousing presentation dynamic high manage track
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