466 results
FiltersThis role is on the Data & RevOps team, acting as an analytics engineer, AI application developer, and sales force multiplier. You'll support the sales team by launching AI solutions and building data pipelines. The goal is to turn data into actionable insights for go-to-market teams.
As a Mid-level Data Quality Analyst, you will play a crucial role in ensuring the integrity and quality of data across our applications and services. You will collaborate with solution architects and business analysts to translate solution requirements into actionable data requirements. Your expertise will help us maintain high-quality standards and drive improvements in our data processes.
As a BI Analyst, you will work closely with various divisions, developing complex datasets, data visualizations, and analyses. You will translate findings into action by building interactive dashboards and reports. The role involves designing and implementing data warehouse tables, consulting with engineering teams, and providing insights to decision-makers.
Thumbtack is building out a world-class Marketing Tech stack, making this an opportunity to develop and build the vision of incorporating data through all aspects of marketing. You'll help set the data architecture, be hands on in building our datasets and mentor engineers. You will also refine a framework for integrating data-thinking, design and maintain core marketing datasets, and drive data quality and best practices.
We are seeking a data-driven analyst who is passionate about user growth. You will work closely with our growth team to uncover insights from user behavior, identify growth opportunities and bottlenecks, and design actionable data strategies.
You'll work collaboratively to develop and build the vision of incorporating data through all aspects of marketing at Thumbtack, designed with our cross-functional team. You’d help set the data architecture, be hands on in building our datasets and mentor engineers as we go. This role involves designing, architecting, and maintaining core marketing datasets and feature stores.
Shift Technology offers a unique opportunity to data solutions engineers to accelerate their careers, improve their coding skills and have a high impact for our clients. Implement scraping and data retrieval pipelines such as web crawling websites with online vehicle ads to detect suspicious claims, crawl social media and public sites to spot discrepancies between claims and online activity. The work is focused on implementing and maintaining data connectors, external data integration and helping building key showcases.
As a Senior Data Engineer, you'll design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink, building robust data pipelines and infrastructure. You'll transform complex data into actionable insights, ensuring scalability and fault-tolerance across our platform. You'll architect data lakes, warehouses, and real-time streaming platforms while implementing security measures and optimizing performance.
You are a motivated Senior Data Scientist who is passionate about driving results and bringing a creative approach to solving complex problems. In this role, you will lead the development and deployment of advanced analytics solutions to drive strategic decision-making across the organization. You will be responsible for generating data-driven insights using advanced statistical and modeling techniques, transforming technical findings into actionable strategies that impact key aspects of the business and support organizational growth.
Looking for a highly skilled Databricks Data Architect to lead the design, development, and implementation of a modern hub-and-spoke data platform for a leading retail company. This platform will serve as the foundation for advanced analytics and real-time personalization, enabling data-driven decision-making and customer engagement. The role involves working closely with business stakeholders, data engineers, and product teams to design scalable, secure, and efficient data solutions on Databricks and the modern data stack.