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Top Hybrid Data & Analytics Jobs
The Deal Desk Analyst supports the finance function by providing sales support and commercial guidance to internal teams. Responsibilities include advising on deal structures, developing product knowledge, evaluating pricing proposals, managing documentation, and improving business processes through collaboration with cross-functional teams.
The Principal Analytics Engineer will lead data strategy, develop complex data models, and manage technical projects that impact multiple teams. Responsibilities include overseeing analytics infrastructure, mentoring engineers, and collaborating on data initiatives to enhance Bluecore's capabilities in marketing automation and retail engagement.
As a Senior Data Engineer at CoinFlip, you will develop scalable data pipelines, optimize data models, perform analysis and create visualizations to enable data-driven decisions. Collaborating with cross-functional teams, you will ensure data accuracy and mentor junior members in a dynamic startup environment.
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As a Senior Credit Analyst, you will evaluate the creditworthiness of loan applicants through in-depth analysis of financial statements, perform risk assessments, guide junior analysts, prepare credit reports, collaborate on underwriting decisions, and present proposals to the Credit Committee.
The Senior Analyst will manage analytics strategies and performance reporting for digital/paid media accounts. Responsibilities include data analysis, creating actionable insights, aggregating data from various sources, and working closely with clients and the digital team to optimize campaigns.
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The Senior Analyst will drive data-driven decision-making in Sales and Marketing by conducting analyses, supporting planning processes, developing KPIs dashboards, and collaborating across teams to enhance operational efficiency and performance. The role focuses on leveraging advanced analytics to provide insights for strategic recommendations to senior leadership.
The Vice President of Data and Innovation will drive data product development and AI initiatives, optimizing data solutions and establishing a data-driven culture across the organization. Responsibilities include leading a global data team, implementing data governance practices, and utilizing insights to guide product innovation and strategic growth.
As a Data Scientist, you will design and maintain complex data models, implement machine learning and AI algorithms, analyze large datasets, and collaborate with teams to create data-driven solutions. You will ensure data quality and develop visualizations to communicate findings.
The Data Analyst III will focus on supporting commercial stakeholders in Sportsbook and Casino strategy through data insights, financial forecasting, KPI reporting, and customer migration analysis. The role involves collaboration with other analysts to address business challenges and enhance commercial performance.
The Senior Software Engineer will create and maintain data processing pipeline architecture, build infrastructure for data extraction and transformation, analyze complex data sets, and support stakeholders with data-related issues, primarily using Python, SQL, and AWS technologies.
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