Remote Data Jobs • Data Analysis

The Product Analyst connects data, business insights, and user behavior to guide strategic decisions and drive product growth. The role involves seeing patterns in numbers, telling stories from data, and shaping products for millions of users worldwide. The candidate should have a passion to craft user-facing products and run them on the broad audience.

The accuracy and timeliness of our data services is fundamental to Stem's service offering; as a Data Operations Analyst, one will play a key role in daily operations of our fleet of distributed energy resources by managing critical data imports from utility partners and ensuring data quality across all systems.

The USRM Claims Data Science team is hiring an Analyst II, Data Science, as part of a broader expansion of our team. This role will focus on supporting the Auto Physical Damage claims organization. As an Analyst II, Data Science, you will collaborate with business partners to develop predictive models that enable dynamic software systems and data-driven strategic decision-making.

We are looking for a Decision Scientist to operationalize predictive models, design rigorous experiments, and translate insights into clear, actionable recommendations for executives. This role will help us treat data as a critical business asset—reliable, secure, compliant, and readily available to drive decision-making, innovation, and growth.

Drive in-quarter and long-term business growth by empowering data-driven decision-making and uncovering strategic opportunities to grow company-wide business outcomes. You'll leverage your expertise in query optimization, advanced data modelling, and cross-functional collaboration to deliver impactful insights that directly influence business strategy.

As an AI Tutor - Pure Math Specialist, you'll play a key role in advancing xAI's mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software. You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create complex problems from advanced pure math topics to boost performance. All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats.

The Research & Methodology Analyst will develop, maintain, and assure the quality of scoring systems that assess and rank consumer and small business products and services. The primary focus is on data analysis, methodology documentation, and quality assurance of ranking models to drive actionable insights.

The Information Analyst I will clean, preprocess, and analyze datasets using statistical methods. Tasks include developing scripts in R or Python, generating visualizations (e.g., survival curves), and summarizing results in reports or presentations. Proficiency in statistical programming and survival analysis techniques, strong analytical skills, and the ability to work independently.

As a data integrations engineer, you will operate across both engineering and customer success teams to ensure that customers can integrate with and leverage our scheduling technology for their needs. You’ll work closely with customer success team members to own a portfolio of clients who wish to integrate with Timely for their scheduling needs. You will devise the architecture and patterns to generalize and scale the process of reliable integration across many clients, reducing the cost of such integrations over time. Finally, you’ll be responsible for establishing the culture and patterns that allow us to grow the team over time to serve even more customers.

As a working student in the Data Engineering team, you will be responsible for data transformation, normalisation and analysis of our customers data. Key responsibilities include transforming structured and unstructured customer data into our standardised data formats, contributing to the development of transformation pipelines, and being knowledgeable about customer data to help address data-related questions from customers.