Top Analytics Jobs in Greensboro, NC
As a Senior Manager in PwC Intelligence, you'll support leaders to enhance firm operations, conduct market analysis, and develop service offerings. You’ll engage with clients to build trust, solve complex business issues, and lead diverse teams. The role requires statistical expertise, data analysis with Python and SQL, and contributions to enhance technological capabilities.
As a Cloud Data & Analytics Manager at PwC, you will lead teams in aligning client data strategies with business needs, choosing platforms, and migrating them to modern cloud environments using various cloud providers. You will analyze data and insights to support decision-making and coach others to facilitate effective teamwork.
The Lead Data Analyst will focus on conducting complex data analyses within the Life Sciences Division, particularly using electronic medical records and claims data. Responsibilities include developing insights for strategic partnerships, predicting trends, and ensuring data integrity while collaborating with internal teams to enhance decision-making.
As a Sr. Analyst at CrowdStrike, you will focus on detecting, containing, and remediating cybersecurity incidents across various platforms, performing malware analysis, and providing recommendations based on your findings. You will also engage in incident handling and develop processes to enhance detection and responses to threats.
The Commerce Analytics Specialist II will analyze customer and prospect data to identify improvements in the commerce business, developing strategies to optimize the demand funnel and enhance campaign performance. The role involves using analytical tools to extract insights, monitor program performance, and collaborate with stakeholders to execute effective go-to-market strategies.
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As a Campaign Analyst, you will optimize digital advertising campaigns and ensure operational efficiency by collaborating with multiple teams, creating processes to track campaign outcomes, and developing dashboards for insights. You will leverage data analysis and problem-solving skills to meet client requests and improve data quality across systems.
The Senior Analyst is responsible for monitoring unusual banking transactions, using software tools to detect suspicious activity, reaching out to customers for clarification, and documenting findings. This role involves analyzing data patterns, conducting investigations, and adhering to compliance standards.
The Senior Recruiting Data Visualization Analyst at Dropbox will lead dashboard development in Tableau, collaborate with stakeholders to understand data needs, and improve HR and recruiting metrics through data analysis. The role requires creating intuitive visualizations and analytics capabilities while addressing data quality issues and operational inefficiencies.
The People Analytics Contractor will assist the HR team by using advanced Excel functions to analyze data and provide insights that enhance talent acquisition processes. Responsibilities include data trend analysis, communicating insights, and collaborating within the team.
The System Field Analyst drives site performance from go-live to acceptance, focusing on system performance analysis, problem-solving, and collaboration with cross-functional teams. They ensure successful implementation of Symbotic systems, analyze data, document defects, and maintain a professional team environment.
As the Senior Data Analyst for the Customer Experience Platform, you will collaborate with product, engineering, and operational teams to analyze customer behavior, develop data models, and build dashboards. You will utilize SQL to create datasets for reporting needs and proactively identify analytics opportunities to support product development and enhancements.
Design and develop models, optimization algorithms, and scalable processes for marketing measurement and audience activation. Utilize big data analytical tools for data extraction. Develop machine learning algorithms for online and offline identity resolution. Work with statistical, data mining, and machine learning techniques to extract actionable information from data.
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