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.
Analytics Engineers sit at the intersection of business teams, Data Analytics and Data Engineering and are responsible for bringing robust, efficient, and integrated data models and products to life. Analytics Engineers speak the language of business teams and technical teams, they are able to translate data insights and analysis needs into models powered by the Enterprise Data Platform. The successful Analytics Engineer is able to blend business acumen with technical expertise and transition between business strategy and data development.
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.
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.
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.
Improvado is seeking a skilled Data Visualization Developer for our Professional Services team to transform complex marketing data into clear, actionable insights using industry-leading visualization platforms. The ideal candidate will have expertise in Looker Studio, Tableau, and Power BI to create compelling visualizations that drive marketing strategy and campaign optimization.
As a Senior Data Scientist specializing in Payments & Fraud, you will play a pivotal role in reducing revenue leakage, safeguarding platform integrity, and optimizing the user payment experience. You will leverage data science, experimentation, and machine learning to detect and prevent fraud and abuse and evaluate the effectiveness of risk mitigation strategies.
In this job, you will join our efforts in the application of Network Science to our business. You will use your programming skills to build and maintain pipelines that transform vanilla tabular data into informative graphs. You will also use your analytical skills to come up with useful graph architectures, interpret graphs, visualize graphs, and experiment with different techniques to find interesting patterns hiding in graph data.
We’re seeking a Senior Data Analyst specializing in product analytics to help shape the future of our revenue cycle management platform. In this highly cross-functional role, you'll collaborate with product managers, engineers, and business stakeholders to gauge opportunities, guide strategy, and inform decisions with data. You’ll explore new datasets, build prototypes, monitor performance, and measure the product impact.
As a Senior People Data Analyst, you will measure and communicate organizational health metrics at an enterprise level, focusing on automation and building analytical solutions that can work at scale. The ability to work in multiple roles—such as consulting, scripting/automation, data visualization, data stewardship/management, and customer service—will be important to your success.