Remote Data Jobs • SQL

Lead the design and delivery of end-to-end BI solutions, from raw data ingestion to curated reporting assets, ensuring scalability, performance, and reusability. Define and implement semantic model strategies across both the backend (dbt-based data marts) and frontend (Power BI datasets, LookML models) to support governed, reusable metrics and dimensions. Build and maintain modular dbt pipelines on modern cloud data platforms such as BigQuery or Databricks.

We are hiring an experienced data analyst to partner closely with the marketing team, with a focus on attribution. Tremendous values data as a first-class citizen and believes insights unlock significant growth. You will collaborate closely with the data team and company-wide stakeholders.

As a Data Analyst, you will help build and sustain a data-driven culture by delivering timely, accurate, and actionable insights through Qlik dashboards and data analysis. This role supports our strategic business transformation efforts and empowers BPM teams with reliable data for decision-making. You will develop, maintain, and optimize Qlik dashboards, handle ad-hoc data requests and ensure data quality across all analytics deliverables.

As Canva scales, change continues to be part of our DNA, offering a dynamic work environment. You will be joining the Data Platform Group, in the Infrastructure Super Group at Canva. Role involves design and implementation of a declarative infrastructure management framework for Canva’s data platform (Snowflake and AWS) to enable self-service data pipeline and analytics development, automated governance for data platform across all data workloads, and improving development practices.

We are seeking a highly skilled Data Analyst to support our Product, Sales, and Marketing teams with actionable insights, robust data infrastructure, and strategic recommendations. You will work cross-functionally to enhance decision-making through data, while also expanding our analytics capabilities by integrating new data sources and building scalable solutions.

Embark on an 18-month trainee program in Data Science at SIXT, designed for graduates passionate about data, programming, and modern technologies. This program offers hands-on experience in a data-driven international tech and mobility company, providing a foundation for a career in Data Science. You will gain exposure to data-based decision-making in a dynamic corporate environment and work on international projects across key data-driven areas.

We are seeking a detail-oriented Data Analyst to join our growing team. As a Data Analyst, you will collaborate with cross-functional teams to derive meaningful insights from complex datasets and drive data-informed decision-making across the organization. You will collect, process, and analyze large datasets to identify trends and patterns, design and maintain regular reporting systems and dashboards and support strategic decision-making through ad-hoc analysis and recommendations.

Play a core role in helping to design and develop new database capabilities, including analytics, clustering, and distributed operations, query and storage optimizations, and more. Develop, test, and release new features and functionality from our database technical roadmap. Continually improve, optimize, and test the existing functionality of TimescaleDB.

As an Azure Data Engineer you will design, build, and maintain scalable data pipelines and analytics solutions on the Microsoft Azure platform. You will work with cutting-edge technologies – including Azure Databricks, Azure Synapse Analytics pipelines, and Microsoft Fabric – to empower our business with timely, accurate data. The ideal candidate is proficient in Azure data services and has a strong background in data engineering (ETL/ELT).

The ideal candidate passionately impacts the organization, owns their work, spearheads projects, and mentors others. This role involves building and scaling data infrastructure, designing data warehouses, developing data pipelines, and writing code daily. Responsibilities also include gathering requirements and translating them into technical solutions.