Top Data & Analytics Jobs in Seattle, WA
The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.
As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.
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As a Data Engineer at Craft, you will build and optimize data pipelines, analyze diverse datasets, and design maintainable software. You will support data strategies and keep track of emerging technologies in the field, applying machine learning techniques to extract value from data sets.
The VP, Data Analytics will lead a centralized data analytics team, fostering collaboration across departments to establish data integrity and analytics excellence. Responsibilities include overseeing Analytics Engineering, Product Analytics, Business Intelligence, and Data Science functions, driving data-driven decision-making, and building an inclusive culture.
As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.
The Senior Data Engineer will manage and optimize data systems, ensuring scalable architecture, data synchronization, and a robust reporting platform. Responsibilities include designing ETL processes, developing datasets, ensuring compliance with regulations, and collaborating with teams to meet data needs.
As a Sales Engineer at Prophecy, you will work alongside the sales team to introduce Prophecy to potential customers, provide technical expertise, lead product briefings and demos, and collaborate with internal teams to solve customer challenges. The role requires 5-7+ years of experience in a similar role, strong technical skills in SQL, Apache Spark, and data processing, and a passion for solving complex technical problems.
Junior Data Analyst role at THREE Insurance involving data analysis, dashboard design, data integration, and documentation. Requires proficiency in SQL, basic programming knowledge in Python, and strong problem-solving skills.
As an Automation Engineer on the AI and Data Operations team, you will develop and maintain modular tools that help non-technical employees automate tasks, boosting productivity across departments like Sales, Marketing, and Finance. Responsibilities include building proof-of-concept workflows, expanding into AI solutions, and creating a reusable component library for AI-driven automation systems.
Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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