Top Data & Analytics Jobs
The Senior Business Intelligence Engineer will lead analytical projects to support strategic initiatives, develop business reporting tools, optimize performance through experimentation, and create automated reports and dashboards. They will analyze key metrics, ensure data integrity and communicate insights effectively, contributing significantly to business decisions.
As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.
As a Power BI Principal Consultant, you will be responsible for building complex dimensional data models and reports, auditing existing Power BI efforts, visualizing data stories, producing KPIs, collaborating with clients' data teams to engineer data solutions, providing skills training, and developing and implementing Power BI solutions. The ideal candidate will have exceptional communication skills, project management experience, intermediate or better proficiency in DAX, working knowledge of Power Query, experience visualizing data in Power BI Desktop and Service, and a solid understanding of dimensional modeling concepts.
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The Manager will lead marketing analytics projects, maintain client relationships, oversee data science teams, and implement business strategies to enhance client performance. Responsibilities include managing data scientists, driving strategic consulting initiatives, and fostering team development.
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The Senior IMS Mainframe DBA is responsible for creating, maintaining, designing, monitoring, and troubleshooting client databases in IMS environments. They perform database upgrades, administration, tuning, backups, restores, and optimizations to support customer needs. The role also involves working with vendor personnel, developing and implementing database recovery mechanisms, and coordinating security measures.
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.
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.
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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As a Data Scientist at RenderWolf, you will work with engineering and product teams to integrate advanced generative AI models into game development tools. Your responsibilities include optimizing AI pipelines, leading AI processes, conducting research, and collaborating across function teams to innovate and enhance productivity in AI applications for the gaming sector.
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.
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