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 Sr. Solution Architect with extensive experience in data architecture, cloud services (Azure preferred), and AI-driven solutions. This role focuses on designing scalable, secure, and high-performance data and AI solutions, collaborating with cross-functional teams, and ensuring best practices in data governance and security.

Responsibilities:

• Design and implement scalable cloud-native solutions on Azure, ensuring security and performance.
• Architect end-to-end data solutions, integrating data sources, processing systems, and AI/ML platforms.
• Build conceptual & logical architectures for data-driven programs.
• Provide guidance on data pipelines, ETL/ELT workflows, and data integration.
• Implement data governance frameworks, ensuring data quality and compliance.
• Collaborate with stakeholders to understand requirements and deliver innovative solutions.
• Mentor team members and provide technical guidance where needed.

Requirements

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 someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

RESPONSIBILITIES:

About us

At Motia, we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 300 employees across five offices, we support over 55,000 customers nationwide.

About the role

Reporting to the Head of Business Intelligence, the Data Scientist will work across the full data lifecycle, developing advanced models, building scalable data solutions, contributing to the businesses data and AI strategy and helping shape our modern data platform as we transition to Microsoft Fabric.

Duties & 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 someone with a good blend of business consulting skills and a data analytics background. If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

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 seeking an experienced Lead - MDM to join a managed engagement, specifically focused on Master Data Management (MDM) initiatives. This role requires a Subject Matter Expert who possesses deep domain knowledge in the Medical Devices or Pharmaceutical industry and a proven track record of successfully navigating and delivering MDM projects.

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 seeking an experienced Program Manager with a strong background in Data & Analytics and deep domain expertise in the Pharmaceutical and/or Medical Devices industry. The ideal candidate will have a proven track record of leading large-scale, cross-functional data transformation programs and managing complex multi-vendor delivery environments while partnering with senior business and technology stakeholders.

RESPONSIBILITIES:

Location: Shanghai · Onsite

Onsite | Full-time

Compensation: $100K–$200K + equity

We are hiring on behalf of our client, an innovative, collaborative financial technology platform who is seeking an exceptional AI Engineer to join its growing team. The employer provides a no-code, quantamental investing platform that empowers investors to build, share, and remix financial playbooks, seamlessly turning complex financial ideas into live, interactive strategies.

In this role, the successful candidate will focus on building and shipping sophisticated AI agents designed to automate the investment research workflow. This includes automating idea generation, data analytics, trend monitoring, strategy development, and backtesting. The position is available on a full-time basis and can be based on-site in Shanghai. For exceptional candidates in the US West Coast, remote arrangements will also be considered.

Key Responsibilities

We are seeking an Upstream Analyst with 2–4 years of experience in a brokerage, investment firm, or energy‑focused commercial environment. The successful candidate will provide high‑quality market intelligence across the offshore and upstream sectors, tracking commercial activity and turning raw market movements into structured insights that support strategic decision‑making and business development.

Key Responsibilities

• Monitor and analyse activity across the offshore and upstream markets, including:
• Deal flow
• Newbuild programmes
• Sale & Purchase (S&P) transactions
• Tendering activity
• Fleet developments and asset movements
• Build and maintain a clear view of market trends, competitive dynamics, and emerging opportunities.
• Produce concise, actionable reports and presentations for internal stakeholders, including senior management and commercial teams.
• Maintain relationships with market participants, brokers, owners, and other data sources to ensure timely and accurate intelligence.
• Support commercial strategy by identifying potential clients, assets, and opportunities aligned with the company’s growth objectives.
• Contribute to internal forecasting, modelling, and scenario analysis where required.
• Ensure data integrity and consistency across internal systems and reporting tools.

Requirements

Join Excelya, where Audacity, Care, and Energy define who we are and how we work. We believe in creating bold solutions and fostering an inclusive environment where collaboration and individual growth go hand in hand.

This role is an exciting opportunity to contribute to a dynamic, ambitious team. You will play a critical part in driving innovation and making an impact in the clinical research space, while enjoying a stimulating professional environment that encourages personal and intellectual growth.

Main responsibilities:

Gritter Francona is seeking an IT Asset Management Research & Data Analyst to support a federal Information Technology Asset Management (ITAM) program. This role will provide data analysis, reporting, dashboarding, and performance measurement support for an enterprise ITAM effort focused on improving asset accountability, lifecycle visibility, data quality, compliance, and operational decision-making.

The Research & Data Analyst will analyze ITAM-related data across hardware asset management and software asset management workstreams, develop reports and visualizations, identify trends and anomalies, and support data-driven recommendations for program leadership. The ideal candidate is a strong data analyst who can work with large or complex datasets, translate data into clear insights, and produce accurate, client-ready reporting products.

Responsibilities