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As a Geospatial Intelligence Analyst at Geo Owl, you will conduct advanced geospatial, topographic, and imagery analyses to support Special Operations missions. Your role includes developing methodologies for complex intelligence problems and managing geospatial data using GIS applications.
The Senior Quantitative Analyst will support the analytics team within Football Operations, focusing on player evaluation, game preparation, and resource allocation. The role involves analyzing football data to provide insights that enhance decision-making and requires strong statistical modeling skills.
As a Senior Analyst in Advanced Analytics, you will conduct marketing science analyses to identify growth opportunities and enhance decision-making. Responsibilities include collaborating with stakeholders, managing data inputs for the Commercial Mix Model, and developing insights with data analytics tools.
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 Qlikview Analyst will develop business analytics solutions focusing on requirement gathering and visualization of insights. They will lead small project teams, analyze complex problems across business areas, and drive data visualization strategies using tools like Qlik View and Tableau. They will also facilitate technical design and ensure requirements are met, while mentoring team members.
The Lead Analyst will specialize in Google Analytics implementation, leading and executing data collection and reporting strategies. Responsibilities include developing measurement plans, resolving tracking issues, implementing analytics in mobile apps, and working with cross-functional teams to optimize data insights.
The Spatial Statistical Expert Analyst will perform advanced spatial statistical analysis related to forest health, prepare detailed reports, conduct effective communication with clients, and provide analytical support for various projects. They will handle data visualization, statistical method documentation, and assist in study plan creation.
The All Source Analyst II is tasked with developing structured research and producing timely analytic reports related to intelligence. They must communicate effectively, apply analytic techniques, and work independently while collaborating with others. The role requires the evaluation of complex data, synthesis of information, and the ability to adapt and defend analytic judgments based on evolving information.
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The Analytics Lead will enhance Rider Engagement processes, collaborate with cross-functional teams, leverage analytics for business strategies, and develop metrics to improve the efficiency of Lyft's marketplace. The role requires strong analytical skills and the ability to recommend actionable plans based on data insights.
As an Analyst on the Enterprise Analytics team at Hive, you'll analyze Hive offerings and commercial strategies, support media business growth, collaborate with machine learning teams, and ensure client solutions are met, all while managing multiple projects in a dynamic startup environment.
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 PI Historian Analyst will support and enhance data historian systems in a biomanufacturing environment, collaborating with manufacturing teams to improve data integrity and visualization. Responsibilities include architectural design, troubleshooting, training, documentation, and ensuring compliance with regulatory standards.
The Data Analyst will support the Procurement team by analyzing, manipulating, and visualizing data from various sources to provide actionable insights. Responsibilities include establishing metrics, creating reports, and collaborating with cross-functional teams to enhance procurement efficiency. The role entails delivering presentations and working on multiple projects while managing complex data sets.
The role involves managing and executing analytic activities, conducting data analysis and synthesis from clinical and administrative sources, and making recommendations based on findings. It also includes designing reports, collaborating with internal and external teams, and improving processes through tech initiatives.
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 Senior Analyst, MDM will lead data management initiatives focusing on data quality, process improvements, and vendor collaboration. Responsibilities include establishing quality standards, creating procedures, analyzing metrics, and assisting the MDM team with data integrity tasks, all while thriving in a fast-paced environment.
Responsible for constructing forecasts, recommendations, and strategic plans based on business data and market knowledge. Performing data research, statistical analysis, and building visualizations. Serving as the primary contact and subject matter expert for analytics projects. Supporting clinical initiatives in healthcare efficiency and quality of care.
The Analytics Analyst III is responsible for providing complex resolutions to analytics and data problems, managing data preparation, analysis, and interpretation to deliver actionable insights and recommendations to various senior stakeholders. This role involves developing advanced analytic models, performing data mining, and fostering continuous improvement through performance data analysis and consultation.
The Open-Source Intelligence Analyst is responsible for researching and collecting information from various open-source materials and writing intelligence reports for defense intelligence requirements. Requires extensive experience in OSINT tools and methodologies, along with a current TS/SCI clearance.
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.
The Competitive Intelligence Analyst at Cooley LLP will conduct in-depth research and analysis on various markets and competitors to provide actionable insights for strategic decision making. Responsibilities include using reporting tools for data visualization, monitoring news, and developing market intelligence services to support business growth and client retention.
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 Informatic Analyst position involves supporting the design, implementation, testing, and maintenance of informatic solutions. Responsibilities include developing reports, compiling requirements, interfacing with various teams, managing deliverables, and ensuring high-quality data delivery.
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.
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