This is a unique opportunity to shape the future of a data-driven, AI-native SaaS company and scale analytics best practices across the organization. You’ll partner closely with product development teams to transform raw user data into actionable insights that drive growth for Airtable’s self-serve business. You’ll own critical data pipelines, design and analyze experiments, build dashboards, and deliver strategic insights that inform executive decision-making.
Focus on clinical outcomes research to develop and refine data-driven methods that help us understand and quantify the impact of sleep, recovery, and daily behaviors on long-term health outcomes. Your work will help bridge wearable data with clinical insights, shaping how individuals and healthcare providers understand wellness, prevention, and recovery.
As a data analytics professional, you will span engineering and insights to improve automation and decision making for our partners and internal stakeholders. You will use SQL, dbt, CI/CD, Github, and Google Cloud to automate data transformation pipelines that flow to our various enterprise partners, and use Data Visualization tools (such as Tableau) to create intuitive data products.
Seeking an ETL Consultant/Developer to design, build, and maintain robust data ingestion pipelines for a 9-month remote W2 contract. Responsibilities include integrating the TradingHub platform, applying capital markets data expertise, implementing data quality frameworks, enhancing system performance, troubleshooting data issues, collaborating with stakeholders, and creating technical documentation.
Oak View Group is seeking a Sr. Data Analyst to provide data-driven insights and analyses, supporting growth and leadership in the sports, live entertainment, hospitality, and venue management industries. This role involves leveraging analytical methods to support decision-making and strategic initiatives across a portfolio of Canadian venues, enhancing customer experiences and optimizing operational performance worldwide.
As the first Data Scientist on our Trust & Safety squad, you will identify abuse patterns, design purpose build data sets, and develop models that prevent harmful users and enable good senders and scale. You'll investigate anomalies, analyze signal effectiveness, consult with data engineering, and build dashboards for real-time visibility. You'll also construct machine learning models to prevent abuse at scale with zero false-positive budget.
Help readers make confident decisions about their money, health, and life by combining expert journalism with deep product insights and high-performance technology. As a Technical Product Manager, you will own and scale our internal Revenue Attribution Pipeline, a core data product that determines how revenue is ingested, modeled, and used across the business.
Elevate your career by joining the Data Analytics Xcelerator Rotation Program at Experian! In this 12-month program, you'll immerse yourself in an energetic and inclusive environment designed to set you up for success in a global organization, and fast-track your growth as a future technical leader. We're looking for driven Data Analysts eager to enhance their skills through impactful, innovative projects.
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. Set and ensure data engineering standards as part of the department goals. Collaborate with other teams to ensure data engineering needs/requests are addressed.
Participate in the democratization of data within a new key area for the company. Design, optimize, and maintain ETL processes ensuring consistent and scalable data flows. Build and maintain SQL structures for use in BigQuery, guaranteeing the efficiency and performance of queries. The candidate will also extract and transform data from various sources and automate data integration tasks.