Top Hybrid Senior Level Data & Analytics Jobs
The Digital Tech Support Analyst monitors digital product performance, resolves customer issues, and conducts statistical analyses. Responsibilities include documenting significant problems, conducting serviceability audits, maintaining a knowledge base, and providing expert technical assistance during dealer visits. The role requires collaboration with development teams and participating in safety audits.
The Senior Data Scientist at CarGurus will implement and train machine learning models, develop data pipelines, evaluate model performance, and design A/B tests. They will collaborate with engineers and stakeholders to deploy models and communicate their findings through documentation and visualizations.
The Sr. Risk & Controls Testing Analyst will complete control testing, assess controls and processes, assist in creating remediation plans, and collaborate with business owners to address risks. They will provide evidence for control evaluations, deliver results to management, and make recommendations for control enhancements.
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As a Lead Business Data Analyst, you will develop a vision and roadmap for data-driven practices, facilitate collaboration across the enterprise, analyze data processes for improvement, conduct in-depth analyses, provide actionable insights, and promote a data-driven culture. You will also guide senior leadership in leveraging data for decision-making.
Lead and oversee the Business Intelligence Center of Excellence, implementing a cutting-edge Data Marketplace and driving metadata management and Data Mesh architecture. Promote data literacy, ensure robust data governance, and enhance organizational capabilities in process mining, while collaborating with IT and business units to align data strategies with organizational goals.
As a Senior Data Engineer, you will enhance data integration pipelines and maintain data quality within data lakes and warehouses. Collaborating with team members and stakeholders, you'll optimize data transformations and ensure the efficiency of systems. You'll also participate in code reviews and uphold coding standards while ensuring infrastructure security and data integrity.
The Customer Success Analytics Lead will enhance business intelligence for Customer Success and Retention strategies by managing data, automating reports, analyzing customer behavior for retention opportunities, and collaborating across teams to implement data-driven strategies. They will also communicate insights and reports to leadership.
The Senior Scientist will advance Tempus' drug R&D platform by performing complex analyses, developing algorithms for precision medicine, and collaborating with Research, Engineering, and Data Science teams. Responsibilities include driving innovation, co-developing solutions with clients, and effectively communicating insights from extensive multimodal datasets to diverse stakeholders.
The Principal Data Management role involves designing and implementing a long-term enterprise data management and governance program. Responsibilities include developing data quality applications, managing relationships with federated data governance groups, and partnering with external vendors to enhance the program's maturity.
The LME Legal Analyst will review leveraged finance and high yield documentation, produce analyses on distressed scenarios, answer client queries about covenant packages, and use proprietary technology to enhance restructuring databases. The role involves delivering seminars and representing 9fin at industry events.
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