GoMining is looking for an Executive Data Analyst to work directly with finance and executive leadership, supporting strategic decision-making through high-quality analytics, financial modeling, and data insights.

This role sits at the intersection of data, finance, and business strategy — ideal for someone who can not only analyze data but also influence key decisions at the company level.

As an Executive Data Analyst, you will partner closely with the CFO and leadership team to provide deep analytical insights, financial visibility, and decision support across products, markets, and operations

You will work with complex, transaction-heavy datasets and help translate them into clear business narratives and actionable recommendations.

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.

We are seeking a Supply Chain Analytics Consultant with strong experience in the Retail or Consumer Packaged Goods (CPG) industry. The role focuses on leveraging data and analytics to generate insights that support strategic decision-making across supply chain operations.

The ideal candidate will work closely with business stakeholders and analytics teams to analyze large datasets, uncover operational insights, and deliver data-driven solutions that improve supply chain efficiency, forecasting accuracy, and overall business performance.

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.

We are seeking a Senior Data Scientist / Data Scientist with strong experience in Assortment Planning, Retail Analytics, and Inventory Management. The ideal candidate will drive data-driven decision-making across merchandising, supply chain, and planning teams by building predictive models and optimization solutions that improve product assortment, demand forecasting, and inventory efficiency.

Key Responsibilities

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.

We are seeking a Senior / Lead Data Scientist with strong expertise in forecasting, tree-based models, and large-scale data processing. The role requires hands-on experience with PySpark, Databricks, and Azure and the ability to lead end-to-end model development and deployment. Experience with MLOps / DevOps is a strong plus.

Key Responsibilities

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/Lead Data Scientist with strong expertise in advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, modelling and EDA experience 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

GoMining is looking for a Data Analyst to join our Finance team and support financial planning, performance analysis, and strategic decision-making.


This position is ideal for someone who combines strong analytical thinking with solid financial understanding and can work confidently in a fast-paced, transaction-heavy fintech / crypto environment.

Responsibilities:

• Analyze financial data including revenue streams, cost structures, margins, and unit economics.
• Support budgeting, forecasting, and financial planning processes.
• Build and maintain financial dashboards and management reports using BI tools (Looker Studio, Tableau, Power BI).
• Develop financial models for revenue forecasting, scenario analysis, and profitability evaluation.
• Work with transaction-heavy datasets related to payments, crypto flows, mining rewards, digital assets, and platform fees.
• Monitor product and financial performance metrics ARPU, LTV, CAC, churn, contribution margin.
• Support P&L analysis across products and regions.
• Automate recurring financial reports and reporting pipelines.
• Ensure data consistency between finance, product, and operational systems.
• Prepare structured presentations and analytical summaries for CFO and executive team.

Requirements

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.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in forecasting models, including ARIMA, time series modeling, and PMPM forecasting, preferably within the healthcare domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Key Responsibilities

Who we are;

Octopus by RTG is enabling a key partner organization to grow their tech teams while focusing on AI. We are currently looking for the right pioneers to join the team!

Octopus is proud to be part of the Robusta Technology Group (RTG), a leading tech group. With a decade of experience and a successful track record of delivering over 300 projects across Europe, the Middle East, and North America, RTG has established itself as a preferred employer in the Egyptian market. Octopus and Robusta are building a bridge between Europe and Africa, creating tailored hub solutions to connect companies with top talent across the globe.

Octopus is specialized in rapidly assembling remote & onsite global tech teams that are fully aligned with the culture and practices of a particular brand. By providing tailored hubs to suit its clients needs, Octopus gives companies all the advantages of remote work and offshoring without all the negatives.

You will be working with one of our partners in Saudi that is transforming the insurance industry in the Kingdom with smart, instant, and purposeful solutions

Quantitative Trading Analyst (Risk Architecture)

Location: Porto

Hybrid | Full-time

Compensation: $150K - $175K

Our client is a high-growth financial technology firm on a mission to democratize access to global markets. By leveraging blockchain technology, the organization is replacing traditional, opaque brokerage models with a transparent, permissionless trading stack. This infrastructure allows users with digital wallets to trade stocks, commodities, currencies, and digital assets with full transparency and verifiable, auditable code. Having secured over $27.9M in funding from premier venture capital firms—including General Catalyst, Jump, LocalGlobe, and Susquehanna (SIG)—the company is positioned at the forefront of the Decentralized Finance (DeFi) movement.

The organization is seeking a Quantitative Trading Analyst to architect and upgrade the risk management engine securing the protocol. This role serves as the critical bridge between Traditional Finance (TradFi) derivatives and DeFi market structures. The mandate involves rigorously quantifying protocol risk and designing systems that facilitate high-leverage trading of real-world assets while mathematically ensuring protocol solvency.

Key Responsibilities

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.

We are seeking a highly experienced Senior Data Scientist with deep expertise in demand forecasting and time-series modeling. The ideal candidate will have strong applied experience building, deploying, and scaling forecasting solutions in production environments, particularly within CPG, FMCG, retail, or similar industries.

Key Responsibilities