Top Data & Analytics Jobs
The Senior Data Engineer will develop and scale a high-traffic digital ad exchange, mentor junior engineers, implement software best practices, and contribute to the architectural strategy. Responsibilities include shipping features, optimizing performance, and enhancing the overall platform.
As a Senior Associate at PwC, you will leverage advanced analytics techniques and tools to extract insights from large datasets. Responsibilities include developing AI and GenAI solutions, collaborating with clients to address their business problems, designing AI architectures, and managing a global data analytics team.
At PwC, the Senior Associate role in AI and GenerAI data science involves leveraging advanced analytics to extract insights from large datasets, developing analytical models, and collaborating with clients to implement AI solutions. Responsibilities include building AI systems, processing data for context in language models, and managing analytics operations within client engagements.
The Data Developer III will implement data services, manage data architecture, and enhance customer experience by designing end-to-end data solutions. Responsibilities include troubleshooting data job failures, modifying data warehousing systems, and developing reporting processes, all while collaborating with internal and external stakeholders.
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The Marketing Data & Analytics Manager will develop analytics frameworks, analyze user data, create dashboards, and collaborate with engineering to optimize marketing strategies and improve customer experiences through data-driven decision making.
As a Lead Data Analyst at AWeber, you will collaborate with teams to analyze data, uncover insights, automate reporting processes, and enhance dashboard visualizations. Your role involves translating complex data into actionable insights to support marketing and product initiatives, drive business growth, and improve customer solutions.
As a Lead Data Analyst, you will collaborate with various teams to analyze data, deliver actionable insights, automate reporting, and enhance data collection efficiency using tools like SQL and PostHog. Strong communication and teamwork skills are essential for conveying insights to stakeholders and improving business strategies.
As Lead Data Analyst, you will collaborate with various teams to analyze data, uncover trends, and provide actionable insights. You will automate reporting processes and create effective dashboard visualizations to aid decision-making and drive business growth.
As a Senior Machine Learning Engineer at CrowdStrike, you will innovate machine learning technology for data science, create scalable microservices, build data pipelines, and collaborate across teams to enhance the cybersecurity platform. You'll engage in ongoing learning, maintain coding standards, and contribute to a collaborative environment while mentoring fellow engineers.
The Sales Commission Data Analyst will work with sales leaders on compensation-related projects, develop data-driven solutions for Sales Compensation Plans, analyze data for insights, maintain data models and reporting systems, and collaborate on process improvements.
The Senior Data Analyst at HopSkipDrive will partner with business stakeholders to solve challenges using data, create visualizations and dashboards, conduct statistical analyses, and build data sources for scalable analytics. They will also identify insights to improve revenue and reduce costs, contributing to the company's success.
The Senior Data Scientist will lead quantitative analyses to guide strategic business decisions for Thumbtack's Commercial Strategy team. Responsibilities include designing A/B tests, measuring project impacts, tracking KPIs, and collaborating with various teams to present insights. This role is crucial in shaping business strategy and ensuring data-driven decision-making.
The Data Scientist will collaborate with cross-functional teams to design innovative products using advanced data science techniques including statistics, machine learning, and natural language processing. Responsibilities include developing algorithms, measuring impacts, and improving data validation and deployment methodologies.
As a Senior Analytics Engineer, you will develop and deliver analytical data products and metrics, collaborating with cross-functional teams to identify needs and define requirements. You will ensure compliance and quality in data governance, productionize data solutions, and conduct user enablement sessions to optimize data experiences.
The Lead Data Management Consultant role involves developing and implementing advanced Python scripting solutions for data management. Responsibilities include identifying use cases, automating processes, consulting with clients, influencing product development, and documenting scripts. This role emphasizes collaboration and technical leadership to drive innovation on the Workiva Platform.
The Senior Machine Learning Engineer will design and deliver ML solutions, develop APIs, maintain ML infrastructure, mentor team members, and troubleshoot issues. They will engage in code reviews and collaborate with teams to create software products tailored to customer needs.
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