We are looking for a highly analytical Financial Analyst who will build financial models, calculate business unit economics, support investment decisions, and maintain high-quality financial data across the company.

This role is ideal for someone who thinks in numbers, works fast, and can convert raw data into actionable insights for top management.

Responsobilities:
Build, maintain, and improve complex financial models (unit economics, forecasting, scenario analysis, sensitivity models).

Develop and calculate profitability and cost-efficiency models across products, hosting, logistics, and infrastructure.

Create cash flow models, ROI assessments, NPV/IRR calculations, and financial projections for new initiatives.

Analyze product and marketing metrics and convert them into financial impact (conversion → revenue → margin).

Maintain multiple financial spreadsheets and dashboards, ensuring daily accuracy and stable structure.

Perform operational financial analysis: pricing, cost structure, budgeting, break-even points.

Provide management with reports, insights, and data-driven recommendations.

Support procurement and logistics calculations: equipment costs, delivery costs, cost per TH, payback periods.

Junior Data Analyst (Product Focus)

Location: London, New York City (Office)

Compensation: $175K - $225K + Tokens/Equity

We are seeking a motivated Junior Data Analyst who is eager to learn, grow, and make a significant impact in a fast-paced environment at the intersection of consumer technology and next-generation finance. In this role, you will play a crucial part in supporting data initiatives across our product, helping various teams make informed decisions through clear analysis, reporting, and insight generation.

You will work closely with senior data staff while gradually taking on more ownership as you develop your skills in a supportive, high-autonomy environment.

As a Junior Data Analyst, you will support critical data initiatives, translating raw data into actionable insights that directly influence product strategy and user experience. You will be instrumental in tracking key performance indicators (KPIs) and uncovering opportunities for growth and optimization.

Location: New York, NY (100% On-site)

Compensation: $150,000 - $200,000 (Base Salary) + Competitive Equity

We are a rapidly growing, well-funded technology company operating at the intersection of AI, data, and life sciences. Our mission is to accelerate the path for patients to receive life-changing therapies by simplifying insurance, affordability, and pharmacy supply chain complexities. We are seeking a high-impact Analytics Engineer to build the data foundation that powers how we operate, measure, and grow.

As an Analytics Engineer, you'll be an owner of our data infrastructure, ensuring that clean, trustworthy, and decision-grade data is available across the company. This is a highly autonomous, cross-functional role that directly impacts company growth and client success.

If you join, you will:

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 Software Engineer in US / Canada.

We are looking for a Senior Software Engineer to help build scalable, data-intensive applications that power mission-critical systems. In this role, you will work on designing ETL pipelines, building high-performance APIs, and transforming large volumes of raw data into impactful products. You’ll collaborate with cross-functional teams including data science, product, and engineering, and contribute to backend infrastructure and data platform initiatives. This role is ideal for engineers with strong backend and data engineering experience, a passion for performance and scalability, and a hands-on approach to building systems from the ground up.

Accountabilities:

·         Design and implement ETL pipelines capable of processing large-scale datasets efficiently.

·         Build and maintain robust APIs for data retrieval, including support for complex query types.

·         Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.

·         Transform raw data into structured, high-value data products to support business and operational decisions.

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.

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 Business Intelligence Analyst in the United States.

As a Senior Business Intelligence Analyst, you will lead the development of reporting tools and insights to drive strategic decision-making across business units. You will translate complex datasets into actionable insights using CRM and BI tools, enabling leadership to make informed, data-driven decisions. This role requires both technical proficiency and a deep understanding of business operations. You’ll work across functions to standardize data practices and improve reporting accuracy and visibility, all within a fast-paced and evolving environment. If you have a passion for using data to uncover trends and opportunities, this is the role for you.

Accountabilities:

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 Analytics Engineer in Canada.

This role is ideal for a data-driven professional passionate about turning raw data into meaningful insights through scalable, maintainable, and high-performing data models. As a Senior Analytics Engineer, you’ll play a pivotal role in enabling cross-functional teams to make better decisions by building trusted datasets and modernizing data infrastructure. You'll collaborate closely with departments across the business to architect solutions that empower them with real-time, actionable insights.

Accountabilities:

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 Data Analyst in Canada.

This is an exciting opportunity to join a fast-paced team driving the transformation of a traditional industry through innovation and data. As a Data Analyst, you will work cross-functionally with product and revenue teams to improve customer experience, boost recurring revenue, and support smarter decision-making. You’ll design experiments, analyze customer behavior, and turn raw data into actionable insights that guide product strategy and user engagement. This role requires a strong analytical mindset, deep empathy for customers, and a passion for making an impact.

Accountabilities:

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 Analytics Engineer in United States.

In this role, you will work closely with stakeholders across the organization to design, build, and optimize curated datasets and business dashboards that turn complex data into actionable insights. You will play a vital part in streamlining analytics workflows, enabling business users to access data easily and efficiently. This position requires a strong foundation in SQL, data modeling, and visualization, along with a passion for transforming raw data into clear, impactful reporting. As part of a cross-functional analytics team, you will help lead the creation of scalable data pipelines and support ongoing analytics initiatives across departments.

Accountabilities:

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 partner companies is currently looking for an IS Data Engineer based in Oregon, Washington, Utah, Idaho, Arizona, Nevada, Texas, Montana, or Wisconsin.

As an IS Data Engineer, you will play a crucial role in powering data-driven decision-making across the organization. You'll be responsible for building and optimizing robust data pipelines that transform raw data into curated, high-quality datasets for analysts, data scientists, and other business stakeholders. Your work will help automate and streamline the flow of data, ensuring it is both accessible and secure while enabling advanced analytics and machine learning. This is a highly collaborative role that involves working with multiple teams to meet emerging data needs and support business goals through innovative data engineering solutions.

Accountabilities: