We’re seeking a strategic and hands-on Manager, Business Analytics to lead a team of business data analysts driving insight, clarity, and performance across our business. This role will partner deeply with cross-functional teams to develop analytical tools that guide decision-making to accelerate company performance. The ideal candidate is a structured thinker and experienced in building and coaching high-performing teams.
In this role, you will build data frameworks and systems to optimize product performance, improve user experience, and support strategic decision-making. You will work closely with Product, Engineering, Customer Success, and business teams to assess the impact of products and services, identify opportunities for growth and efficiency, and transform ROI storytelling for the organization.
You will be joining the AI team at an exciting moment, leading the charge in building Snowplow Signals, their new solution for enabling real-time, AI-powered customer experiences. Your work will contribute to the infrastructure that powers these capabilities, unlocking value from behavioral data in real time. Alongside this, you’ll work on the foundational components that continue to make Snowplow powerful and flexible for data teams.
As a Senior Data Scientist, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. Working with engineers, data scientists, and research scientists, you'll uncover valuable information to detect, prevent, and mitigate cryptocurrency fraud and financial crime. The models you create will identify new threat vectors unique to cryptocurrencies and blockchains, and will be consumed by prestigious entities and law enforcement agencies.
Seeking a Principal Analytics Engineer to lead important new initiatives within our cross-functional engineering team, mainly focusing on analytics capabilities that support publishing and marketing decisions. You will play a pivotal role in scaling our analytics capabilities, driving innovation, and shaping the future of marketing and publishing analytics at PlayStation Studios.
At eHealth we are passionate about expertly guiding consumers through their health insurance and related options, when, where and how they prefer. In this role, you will help develop innovative machine learning solutions that enable better and faster decision-making, enhancing both our internal operations and the customer experience. This position offers a fast-paced, collaborative, and iterative environment where quick learning, agility, and flexibility are key.
Work with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions. Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries and design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs.
We're seeking a Senior Data Engineer to build and enhance data solutions and AI initiatives for the business of insurance. You will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams.
You'll champion engineering best practices and maintain a scalable platform that supports reporting and analyses across all our business domains. You will build and maintain robust data models, ensure data infrastructure reliability, and design data models for efficient use by all teams. Collaborate with Data Analysts, Data Scientists and Machine Learning Engineers to enhance the data platform and power business decision making.
This role will establish and lead how we manage the internal tools that power our operations and decision-making. This dedicated role focuses on business applications and data platforms. The ideal candidate is both a doer and a collaborator, comfortable configuring systems directly, managing implementation partners, and working across teams to align tools with real-world needs.