Top Remote Data & Analytics Jobs

The Data Analyst will work with Product and Engineering teams to design and deliver automated reporting, revenue dashboards, and insights from ad code testing. Responsibilities include analyzing A/B tests, collaborating with various partners, and influencing stakeholders to drive revenue opportunities for a network of creators.

As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.

As a Principal Data Scientist, you will develop machine learning models for hotel demand and pricing prediction, optimize revenue through pricing strategies, and lead technical projects. Collaboration with product and engineering teams is key to integrating solutions and presenting findings to management.

The Senior Staff Engineer - Data Scientist will support product development and perform data analysis on large-scale datasets. Responsibilities include developing optimization and statistical models, collaborating with stakeholders, and communicating insights to drive business improvements.

As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.

The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.

The Senior Data Analyst at Dutchie will implement measurement strategies for digital products, collaborate with product and ad-tech experts, create insightful reports and dashboards using SQL, and ensure data quality and availability. The analyst will leverage analytics to improve products and drive action within the company.

The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.

As a Staff Data Scientist at Enigma, you will leverage machine learning and statistical methods to enhance data accuracy and usability. You will work within cross-functional teams, develop innovative solutions, validate results against real-world data, and contribute to critical product developments that impact small businesses' access to financial services.