Remote Data Jobs • SQL

This role transcends the ordinary realms of coding; it's about orchestrating technological marvels that disrupt industries. Lead a team that is actively shaping the tech landscape for our clients, and sets global standards along the way. Requires 5-8 years of experience in data engineering, DevOps, or a related technical field.

Together with a team of 4 other Analytics Engineers you will build the new core of the future decision-making platform of Emma Sleep. You will use a combination of dbt and Redshift and take complete ownership of your developments. Own the T in ELT together with the rest of the Analytics Engineering team.

The ETL Data Architect will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives. Responsibilities include developing, documenting, and testing ELT/ETL solutions using industry standard tools (Snowflake, Denodo Data Virtualization, Looker), recommending process improvements, and extracting data from multiple sources. The candidate should be willing to explore and learn new technologies.

Collaborate cross-functionally to ask the right questions, uncover insights, and drive strategic decisions. Design, build, and maintain robust data infrastructure and pipelines to support analytics and product use cases. Translate complex business needs into scalable data solutions using modern data tools. Guide best practices in data modeling, transformation, and visualization. Own and evolve our analytics platform.

Seeking a skilled Data Engineer with expertise in AtScale to help our client to improve their loyalty program by migrating and upgrading their data analysis capabilities. The project will involve transforming data from the curated layer into the refined layer, building the semantic layer, and defining measures, dimensions, hierarchies, and relationships within the data.

Seeking a skilled Data Engineer with expertise in AtScale to help our client improve their loyalty program by migrating and upgrading their data analysis capabilities. The project will involve transforming data from the curated layer into the refined layer, building the semantic layer, and defining measures, dimensions, hierarchies, and relationships within the data.

The ideal candidate will have some research experience with either an advanced degree or work experience outside a pure academic context, working with cross-functional teams to define business problems, determine data and methods, build/execute analyses, and present results to stakeholders. Responsibilities include balancing business goals with statistical, technical, and data constraints, and integrating AI into your work.

Analyze data to identify trends, patterns, and insights that can drive informed business decisions. Design and create visually appealing and user-friendly Tableau and Snowsight dashboards. Build and maintain data pipelines to ensure the availability of accurate and up-to-date data.

Runs activities related to designing new approaches, methodologies and modelling comprehensive dashboards and understands the business needs and transforming them into a feasible technical solution plan. Thinking towards Automating the manual works. Supports the team to deliver activities related to designing new approaches and modelling comprehensive dashboards.

Help shape the future of digital healthcare and e-commerce as a Senior Product Analyst. Analyze complex datasets, identify opportunities for product improvements, design and run experiments, and build dashboards. Partner with Product & Tech teams to guide decision-making with actionable insights.