As an experienced Senior Data Engineer, you will help the Content team deliver high quality hotel and room content to users to help them find the best deals. You will identify, analyze and integrate new data sources to improve attribute coverage and enrich content products. Optimize data pipelines, migrate legacy pipelines, collaborate with data scientists, and innovate using modern tooling like LLMs.
Carry out the analytics implementation and help define and follow best practices for our Adobe Analytics deployment. Work closely with internal stakeholders and partners to understand their requirements and instrument data capture accordingly. Help to ensure that both ingestion of Adobe data into our data lake and the integration of the Adobe stack is always working well.
We are looking for a highly skilled Data Engineer to join our team and contribute to the design, development, and optimization of data-driven financial solutions. The ideal candidate will have strong technical expertise and a collaborative mindset. You will develop and maintain robust data pipelines and scalable processing solutions, work with AWS services and collaborate with cross-functional teams.
Mitek is hiring a Go-To-Market Data Analyst to join the Global Customer Success team. You will turn complex products, fraud, and customer signals into clear insights that help our customers and internal teams make fast, informed decisions. You will build Tableau dashboards, customer-facing reports, and automated alerting that highlight fraud trends, identity verification performance, and optimization opportunities.
The Artificial Intelligence Office is seeking a Senior Data Scientist to lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem. You will design and optimize conversational flows, collaborate with stakeholders, and mentor junior data scientists, ensuring scalability, security, and integration with client documentation systems in an Agile environment.
As Data Analyst in Operations at FINN, you will be at the heart of driving our business operations through data-driven insights. By leveraging advanced analytics tools and techniques, you will uncover trends, forecast outcomes, and provide actionable recommendations that validate the impact of strategic decisions. This role is perfect for a proactive problem solver who thrives in a data-rich environment and is passionate about using data to support strategic decisions.
This role is ideal for a technically skilled leader passionate about building scalable, high-performance data platforms, leading a team to design and maintain pipelines for millions of daily events, ensuring data reliability and accessibility, owning the architecture and optimization of a cloud-based data warehouse, and influencing the development of a Customer Data Platform.
Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python. Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools. Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data.
You will lead the development and management of high-quality data labeling pipelines that support our large language models. This role involves building an internal labeling team, working closely with vendors, and designing scalable processes for data annotation. Your work will be critical to the success of our AI models, ensuring that they are trained on top-tier labeled data using crowdsourcing and other data collection techniques.
In this strategic role, you will lead high-impact initiatives at the intersection of data, analytics, and artificial intelligence. You will work across global teams to modernize data capabilities, drive AI adoption, and accelerate digital transformation across multiple business functions. Acting as a bridge between business needs, analytics potential, and emerging technologies, you will shape use cases that deliver measurable business value.