Top Analytics Jobs in Philadelphia, PA
The Oracle Cloud Financials Analyst is responsible for working with clients to understand their financial management needs, designing solutions using Oracle Fusion Financials, configuring applications, conducting testing, overseeing data migration, and training users on new systems. Post-implementation support is also a key responsibility.
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
Join Quest Analytics as a Director in the Network Analytics team to align, direct, and oversee the delivery of data, analysis, and insights for healthcare access. Responsibilities include deciphering analytic needs, managing stakeholder relationships, ensuring high-quality analytics, developing data accessibility requirements, and leading data analysts. Ideal candidates possess excellent organizational, analytical, and communication skills with a Master's degree in information systems.
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
The Data Analyst will transform complex data sets into valuable insights, supporting product development through analysis and reporting. Responsibilities include data exploration, analytics reporting using tools like SQL and Power BI, collaboration with product teams, and continuous learning of industry trends to drive business decisions and product improvements.
The Support Analyst Level 1 will assist internal and external customers with platform-related questions, manage incoming tickets, and develop expertise in Placer's systems. Responsibilities include troubleshooting, collaborating with the support team, and ensuring customer success via clear communication and effective support.
The VP of Data Science will lead Vevo's data science team, developing strategies and overseeing machine learning and AI applications to improve business processes in advertising and media. The role involves project management, collaboration with various departments, and ensuring high-quality deliverables, while coaching and growing the team of data scientists.
As a Data Scientist III at Intuit Credit Karma, you'll identify opportunities to enhance data utilization for financial services, optimize machine learning models, collaborate with marketing and engineering on model adoption, and explore advanced data science techniques in personal finance. The role focuses on leveraging large-scale models within a growing data science team to support financial products.
The Survey Data Analyst will manage survey data initiatives, develop questionnaires, analyze data, summarize findings, and make recommendations. Responsibilities include data processing, quality control, and supporting project closeout activities. The role requires interaction with clients to improve operations through data-driven insights.
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