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 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 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.
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 Sr. Workforce Management Analyst will oversee scheduling, resource allocation, and capacity planning for the Data Services department. Responsibilities include developing forecasting models, providing leadership reports, optimizing project timelines, and coordinating with various teams to analyze data and forecast demand.
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