Remote Data Jobs • SQL

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.

Entefy’s Senior Data Scientist is a highly visible position both internally and externally. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.

Receive requests for new data sets (cubes, views, etc), reports, dashboards, report changes and incidents through the help desk ticketing system. Work with customers to understand business decisions and resulting outcomes, defining requirements for data integration, reporting, analysis and/or data mart development. Build/modify data sets, reports and dashboards for requests based on collected requirements.

This role will drive the VXBS (Visa-Cross-Border-Solutions) Insights roadmap by delivering value through actionable insights and accessible data products. You will collaborate with Business leaders, Finance, Technology and Product teams to understand strategic objectives, measurements, and reporting needs. The role will own the Financial Billing system, financial data products, and support team members. This is suited for an experienced analyst with a background in financial billing, forecasting, and business intelligence.

Partner with application development teams to design optimal Postgres data models that support new features and scale with business growth. Implement and maintain database observability and monitoring systems. Collaborate with development and platform team to architect large scale new data persistence systems and migrate production traffic to them. Develop and promote standards and best practices of database design and development.

We’re looking for a Data Engineer to join our IT team, where you’ll design and maintain data systems that power operations across the enterprise. Working hands-on with SQL Server, ETL development, and Power BI, you’ll collaborate with cross-functional teams to ensure reliable, accurate, and accessible data. This role is ideal for someone who thrives in a fast-moving environment and enjoys solving real-world data challenges.