Top Data & Analytics Jobs
As a Consultant in Data and Analytics, you will create and implement processes and tools to help clients leverage data effectively. Responsibilities include translating data into actionable insights, managing client projects, and collaborating with stakeholders to drive business transformation using analytics tools.
The Manager Advanced Analytics supervises a team of analysts focused on organizational population health reporting and data projects. Responsibilities include managing reporting systems, providing measurement expertise, developing team capabilities, and handling human resources tasks. The role also involves budget management and ensuring compliance with ethical standards.
The Senior Data Analyst at SmithRx will collaborate with business and technology teams to develop metrics, dashboards, and visualizations that drive strategic value. This role involves conducting deep data analysis to uncover insights, managing critical projects, and fostering a culture of data literacy. The analyst will also mentor junior team members and contribute to shaping data practices and documentation.
The Data Analytics SME will leverage Excel and Power BI for data analysis and visualization, creating insightful reports and managing data efficiently. Responsibilities include performing advanced data analysis, designing pivot tables, developing Power BI dashboards, and providing actionable insights to support decision-making across the organization.
The role involves designing and developing data visualizations, utilizing SQL for database queries, and collaborating in an Agile environment. The candidate will maintain solutions as business needs evolve and work on data pipelines, models, and visualizations.
The Lead Analyst will support Global AML Business Systems, Data & Analytics, focusing on the development of technical solutions for AML. Responsibilities include project strategy formulation, business requirements analysis, and collaboration with Compliance, Technology, and regional teams. The candidate should have experience in technology implementations and a strong background in data analysis and AML processes.
The Teaching Assistant will support data analytics learning programs by conducting live lectures, providing individual office hours, grading submissions, and facilitating review sessions. They will work asynchronously and engage in regular meetings to discuss progress. Strong communication and technical skills in data analysis tools are essential for this role.
The Senior Data Scientist will perform data analytics using structured and unstructured data, develop metrics and reports into BI dashboards, and work closely with stakeholders to design data-driven solutions. They will also manage ongoing processes, ensure compliance, and collaborate across various functions to enhance analytics delivery infrastructure.
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As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.
The Data Analytics Manager will drive data-driven decision-making through developing analysis strategies, ensuring data quality, transforming raw data into insights, and communicating findings effectively across the organization. The role involves collaborating with stakeholders and staying updated with industry trends to align analytics projects with business objectives.
The Data Analyst at Taylor will measure and optimize social media and digital analytics, conduct qualitative and quantitative research, collaborate with teams to provide insights, utilize various data tools, and communicate findings effectively. They will also lead trainings on analytics tools and contribute to developing strategies based on consumer behavior trends.
The Data & Analytics Specialist will lead the development and maintenance of the Operations Scorecard, ensuring data quality and accuracy. They will collaborate with teams for data capture, manage various data sources, and develop KPIs for operations workstreams.
The Data & Analytics Specialist will lead the development and maintenance of Operations Scorecards, ensuring data quality and timely reporting of KPIs. This role requires collaboration across teams to manage data sources effectively and derive insights for various workstreams in compliance with industry standards.
Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.
The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.
The role involves managing Data & Analytics for the Plan to Fulfil area as part of the S/4HANA digital transformation in Pet Nutrition. Responsibilities include data collection, analysis, and presentation of findings to stakeholders, along with ensuring data accuracy and developing solutions.
The candidate will manage Data & Analytics for Finance as part of a significant ERP Digital Transformation within Mars Pet Nutrition. Responsibilities include overseeing data ownership, collaborating with various teams, and enhancing data systems and models related to Finance.
This role involves managing and delivering data analytics and insights through data extraction, transformation, and visualization. Responsibilities include developing BI solutions, influencing strategic decision making, analyzing complex datasets, and managing multiple projects while engaging with stakeholders and ensuring effective data integrity.
The Senior Manager in Competitive Intelligence & Data Analytics will lead the Competitive Intelligence function, focusing on market insights and competitive assessments. Responsibilities include analyzing market trends, monitoring competitor performance, informing strategic planning, and collaborating across various business functions to develop actionable recommendations.
The Sales Representative will engage potential clients and manage existing relationships to promote CoStar and LoopNet products. Responsibilities include understanding client needs, managing the sales cycle, conducting product demos, and attending industry events to network with commercial real estate professionals.
As a Sales Representative at CoStar, you will engage potential clients and manage existing accounts, promoting CoStar and LoopNet products. Your responsibilities include understanding client needs, handling the full sales cycle, conducting product demonstrations, and networking within the commercial real estate market.
As a Sales Representative at CoStar Data & Analytics in San Antonio, you will prospect, engage potential clients, and manage existing client base. You will promote CoStar and LoopNet products, conduct product demonstrations, and provide valuable insights to the commercial property market.
As a Sales Representative at CoStar Group, you will prospect and engage potential clients, manage and grow existing relationships, and promote CoStar and LoopNet products. You will handle the full sales cycle, from prospecting to closing, while providing clients with valuable insights into the commercial property market.
As a Sales Representative at CoStar Data & Analytics, you will prospect and engage potential clients, manage and grow the existing client base, and promote CoStar and LoopNet products. Responsibilities include understanding client needs, conducting product demonstrations, and providing valuable insights to participants in the commercial property market. Basic qualifications include a bachelor's degree, client-facing experience in the Commercial Real Estate industry, and at least two years of successful outside sales experience in a B2B environment. Preferred qualifications include regular attendance at job seminars and willingness to travel when needed.
As a Cloud Data & Analytics Architect at Smartbridge, you will design and deliver AWS-based data solutions, lead technical projects, mentor teams, and drive business development. Responsibilities include building cloud data architectures, integrating data systems, and managing client relationships.
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