Top Data & Analytics Jobs
As a Principal Data Scientist at Appspace, you will analyze data generated by our platform to create valuable reporting and analytics for customers. This includes developing data models, dashboards, and providing user training while collaborating with cross-functional teams to meet customer needs.
Seeking an experienced Database Engineer/Administrator with a TS/SCI clearance and 10 years of experience to join a high-performing agile team. Responsibilities include daily database administration, troubleshooting, and performance monitoring using Oracle technologies.
As a Growth Data Scientist at Quince, you will spearhead data science initiatives to refine growth strategies and methodologies, optimize marketing campaigns, develop predictive models, and drive business growth through actionable insights.
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The Revenue Operations Analyst at DataGrail will partner with the Senior Manager to drive growth, streamline processes, and implement operational initiatives. Responsibilities include delivering actionable reporting, managing CRM systems, balancing priorities, and troubleshooting issues. The ideal candidate is analytical, detail-oriented, and proactive with a growth mindset.
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Implement cutting-edge generative AI models to power creative products for game studios. Optimize AI pipelines, develop software tooling, and stay updated on the latest advancements in the field.
The role involves designing and implementing scalable data architectures in Azure and Databricks, creating pipelines for data extraction from Microsoft Dynamics 365, and ensuring high performance and efficiency in data processing.
As a Privacy Analyst with expertise in OneTrust, you will play a key role in supporting the organization's privacy program by leveraging technical proficiency and knowledge of privacy regulations.
The Revenue Analyst will provide critical insights to drive revenue growth by developing and distributing accurate revenue reports, collaborating with the sales team, and performing ad hoc analyses to enhance sales efficiency and profitability.
Looking for an experienced Senior Data Engineer to extend the data warehouse and build streaming and batch data products to revolutionize cybersecurity. Responsibilities include maintaining the data warehouse, developing ETL pipelines, utilizing stream processing technologies, building data models, and collaborating with the team. Required experience in architecting data warehouses, programming in Python, SQL, Java/Scala, implementing batch data pipelines with modern technologies, and designing real-time data solutions with various tools like Kafka and Spark.
The Master Data Specialist is responsible for creating, maintaining, and governing ERP data for purchasing, planning, and logistics operations. They oversee data accuracy, develop metrics, and drive process improvements. This role also involves coordinating with cross-functional teams and supporting purchasing activities.
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