Remote Data Jobs • SQL

Assist in data modeling and analysis, having a data-driven, business-oriented mindset in data analytics, including mining, cleansing, and visualization to transform data into goal-oriented reports that drive innovation and growth. Work closely with leaders across care, marketing, product, sales, engineering and IT to support and implement high-quality, data-driven decisions.

The BI Developer will be responsible for developing, supporting, and implementing business intelligence solutions. Will need to assist in the build of new solutions for reporting and analytics, including model development, data visualizations, security, and governance. Designing and maintaining complex ETL processes, data models, data storage, and monitoring systems. Designing and maintaining BI reports and gathering or digesting product requirements from business analysts and internal stakeholders, and suggesting reporting solutions.

This role plays a critical part in ensuring the successful technical implementation of new clients—spanning everything from data integrations and file exchange workflows to billing setup, performance guarantee tracking and configuration of key operational systems. You will manage both inbound and outbound data flows, build client-specific configurations and support the systems that drive member engagement, operations and client reporting.

The Enterprise Data Team collaborates with every department at GitLab to develop trusted data products and responsibly harness the power of our data. As a Senior Data Analyst, you will own the end-to-end development process for data products - from business requirements gathering, to dashboard development, to the delivery of actionable insights and recommendations.

Seeking an experienced Azure Data Engineer Principal Consultant to lead data engineering engagements and design scalable data solutions. You will act as a trusted advisor, providing technical leadership and strategic guidance while working on cutting-edge Microsoft Azure technologies. Oversee the end-to-end delivery of data engineering projects, ensuring quality, scope, and timelines are met.

This interactive role performs business analysis using various programs including SQL, and Power BI. You'll research best practices and support developing the solutions recommendations for current business operations. Works with internal and external customers to identify analytical requirements based on business requests and needs, turning data into critical information.

This pivotal leadership role is responsible for creating and driving the vision for leveraging data, building structures and processes, and product development. This leader will craft and influence data culture and practices while overseeing the technical infrastructure and product development that enables us to scale our programs and impact. The Head of Data & Technology will lead a team of senior data scientists and engineers.

Transform raw data into clear, actionable insights that drive smarter decisions across the company. At the crossroads of Business Intelligence, data engineering, and analytics, you’ll deliver clean, reliable data and power reporting that helps every team thrive. Collaborate with engineers, product managers, and stakeholders to uncover data needs and opportunities.

Seeking a driven and pragmatic Team Lead to join the Data Science Research team on a 1.5-year temporary contract as a parental leave replacement. This hybrid role combines team leadership with hands-on technical contributions. You will lead a group of skilled engineers and data scientists, collaborate with cross-functional stakeholders, and ensure the successful delivery of impactful, high-quality solutions.

Facilitate business domain knowledge from different Shiji products, understand and analyze the data from Business Intelligence point of view, help to design and implement data models which are going to be used to build insights, build dashboards which will allow to discover trends in data, using a state-of-the-art Business Intelligence tool, build and optimize SQL queries for the respective data, maintain technical documentation.