Remote Data Jobs • Looker

Transition legacy systems to a cloud-native, modern data stack leveraging tools such as Informatica, Airflow, Postgres and modern technologies like Snowflake, dbt , BigQuery , Looker, CI/CD, Git, Databricks, PowerBI , Datadog and Grafana. Build innovative, scalable, and reliable data products that support Kinaxis’ strategic goals. Partner with internal business stakeholders from different business units and cross-functional teams to design and deliver tailored data solutions.

We are seeking a Senior BI Developer to help establish and scale our new Business Intelligence function. This role will be critical in transforming raw data into actionable insights that drive decision-making across the company. You will work closely with cross-functional teams to develop dashboards, optimize data models, and implement scalable analytics solutions. As we continue to grow, your expertise will play a key role in shaping our data strategy and infrastructure.

As the first-ever Business Intelligence team member at GiveCampus, you will be the cornerstone of our data-driven future, owning and building the Business Intelligence function from the ground up. This high-impact roles involves working closely with Sales, Partner Success, Data Engineering, and Data Science to surface actionable insights, architect backend systems, and guide the adoption of modern BI tools.

As a part of the Data Analytics function at Cribl, you will lead a team of data professionals dedicated to supporting our Revenue, Marketing, and Finance teams. You will oversee the business intelligence system, data analysis, and data strategy, playing a critical role in driving data-informed decision-making and fostering a culture of analytics excellence. Your ability to balance strategic vision with operational execution will be critical.

The Analytics Engineer will work closely with Product, Engineering and Client Experience to translate complex datasets into actionable insights and products for our clients and internal teams. The ideal candidate has a strong talent for data modeling and analytics and gets excited about working with a modern data stack to transform data into performant data pipelines.

Help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. As an Analytics Data Scientist, leverage deep analytical skills and product intuition to solve a wide array of complex problems — from strategic analysis to dashboard creation and experimentation design and analysis.

As a Data Scientist embedded in the Advertising Organization, you will work with a group of data and non-data Mozillians responsible for understanding and driving the future of the internet. The Data Science team sits at the intersection of product, engineering, finance, business development, marketing, and leadership, and we collaborate closely with these and more partners to empower rigorous decision-making and create impactful data products.

You will be responsible for using data to answer strategic questions and support our business strategy and rapid growth. With a strong analytical and data-driven approach you’ll help our team organize, visualize and understand large data sets relating to various performance marketing channels. This is an exciting opportunity that will allow you to run deep-dive analysis, create regression or segmentation models, build dashboards and generate reporting to drive business growth and draw strategic insights from product, user, and operational data.

We’re seeking a hands-on Analytics Engineering Lead to head our data infrastructure and modeling efforts. In this role you will manage a small team while also contributing directly as an individual contributor. You’ll collaborate closely with our analytics, data science, and ML teams to deliver high-quality, reliable data to the whole company.

You will design, implement and scale data pipelines that transform data into actionable information that enables decision making. You will drive initiatives to formalize data governance and quality assurance. You will have a significant part in building a solid data foundation for a data-driven company.