We’re looking for a Data Analyst to join our Growth team in a high-impact role. You’ll play a critical role in uncovering new growth opportunities, driving data-driven decisions, and setting up the infrastructure to make experimentation and insight generation more effective.
Pricing and monetisation have never been more critical at Trusted Housesitters, and this analytical work will directly shape our commercial success and growth trajectory. As the Senior Pricing Analyst, you'll inform how we price, package, and optimise our membership model for sustainable growth by partnering closely with Product, Growth, and Finance teams.
The Senior Analyst will work with the newsroom and audience teams, delivering powerful tools and analyses that unlock insights into audience growth and engagement. They will translate complex data into applicable recommendations that directly influence editorial, product, and overall business strategies. This position involves conducting deep-dive analysis, communicating findings, democratizing data, and proactively identifying opportunities for applying data.
Drive experimentation and digital performance optimization across digital platforms, serving as a strategic partner to product teams, providing expert guidance on test design, data analysis, and program valuation. The ideal candidate will bring a strong analytical mindset, deep technical expertise, and a passion for uncovering insights that drive business impact.
Design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. Work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy.
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.
AG1 is looking for a Data Scientist with a strong foundation in experimentation and machine learning to join their growing Data Science & Analytics team. This role will work across the full spectrum of applied data science, from shaping hypotheses and designing A/B tests, to building models and tools that scale the impact of insights. The Data Scientist will play a key part in surfacing actionable insights that drive customer acquisition, retention, lifetime value, and operational efficiency.
We are seeking a Lead Applied Scientist to lead our efforts in scaling the number of models deployed to production using our AI Platform over the next year. The ideal candidate will have several years of experience in ML Ops and Applied ML Research and will lead the vision for how our AI Platform can soon support dozens of models in production.
Conduct product analytics and growth marketing analytics in the Android and iOS ecosystems. Closely collaborate with product managers and product marketing managers. Instrument critical telemetry and build large data models. Analyze large data sets to understand user behavior and long-term trends. Conduct and consult on experiments. Build out key data assets in Google Cloud Platforms such as BigQuery and Looker. Inform, influence, and execute our product strategy.
As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration, analyzing large-scale pricing datasets to identify trends and benchmark comparable properties across regions. Your responsibilities include architecting core pricing intelligence systems using robust statistical ML methods that form the foundation for their next-generation pricing platform, building enterprise-grade ML models, and developing strategic pricing algorithms.