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The Data Engineering Management Analyst will manage data migration, implement business management principles, and create ETL jobs using Azure Data Factory. Responsibilities include leading meetings, providing training, and contributing to business management and forecasting using advanced data techniques and tools such as PowerBI.
The Lead Marketing Data Scientist will analyze client needs, customize business processes, and develop analytics tools to provide insights into customer acquisition and business performance. Responsibilities include statistical analysis, predictive modeling, and working with large data sets, while collaborating with clients and teams.
As a Senior Associate in Analytics at Merkle, you will transform raw data into insights, ensure data quality, develop data management tools, and create visual presentations. You will collaborate with a team to execute analytical processes and support marketing analytics using various data sources and tools.
The Senior Associate, Analytics will transform raw data into actionable insights, ensuring accuracy and data quality. Responsibilities include compiling data, producing visual dashboards, analyzing results, and developing data management tools in collaboration with business teams.
The Senior Data Analyst will manage and execute complex analytic projects, primarily using Medicare and Medicaid data. Responsibilities include conducting analyses, developing financial models, quality-checking data, creating visualizations, and communicating findings to clients and teams. The role requires strong programming skills in R and SAS, and the ability to translate complex data into actionable insights.
The Data Analyst will perform psychometric analysis and technical reporting within large datasets from assessments. Responsibilities include coding maintenance, data quality assurance, statistical analysis, documentation, and collaboration with a psychometrician on project insights.
The Insight Analyst will analyze subscription data to provide actionable insights, create visualizations and dashboards, and collaborate with Customer Success, Sales, and Marketing teams. The role requires expertise in data analysis and clear communication of findings to clients and stakeholders.
The role involves supporting the Navy's transition to the Electronic Procurement System (ePS) by managing data analytics, deployment readiness, training, and reporting. The Analyst must aggregate data from various acquisition systems, develop insightful visualizations, and work collaboratively to enhance decision-making for better ePS implementation.
As an Analytics Engineer, you will develop and manage data models and reporting infrastructure, support new data integrations, and build automated reporting systems. You will collaborate with various stakeholders to enhance analytics capabilities and ensure appropriate documentation is maintained.
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 Supervisor, Client Reporting + Analytics leads a team of Data Insight Analysts, providing mentorship and ensuring the accurate and timely delivery of operational reports. They collaborate with cross-functional teams, monitor performance, and drive continuous improvement initiatives. This role requires a mix of technical skills in data analysis and leadership abilities to inspire the team.
The Data Acquisition Specialist will source, collect, and maintain accurate data to support semiconductor distribution. Responsibilities include evaluating data sources, implementing data collection methods, ensuring data quality, conducting analysis and reporting, and collaborating across departments. The role also promotes continuous improvement in data practices.
As a Senior Consultant in Data & Analytics, you will lead clients in their analytics journey, develop strategies for data preparation, create predictive models, and provide insights through visual analytics and reporting. You will also conduct interviews for gap analysis and design data flows.
The Colleague Programmer/Analyst will collaborate with clients in higher education to develop integrations, customize and support their Colleague ERP instances, and ensure effective data reporting. Responsibilities include gathering requirements, developing specifications, managing technical projects, and assisting with systems integration and migrations.
This role involves analyzing business performance through audience, product, and growth insights while delivering actionable recommendations. The analyst will collaborate with data engineering to build a centralized reporting framework, democratize data using dashboards, and lead analytic projects, contributing to a more efficient data environment across the organization.
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