Top Hybrid Data & Analytics Jobs
Provide thought leadership and strategic thinking to translate business problems into analytical frameworks and recommend actions. Develop and implement pricing strategies, deliver effective presentations, and automate reports. Collaborate with cross-functional partners to drive strategy enhancement and optimization. Minimum qualifications include a Bachelor's degree in Analytics, Engineering, or Statistics and 6+ years of relevant experience.
Building a new Data Stewardship team within Discover's MarTech Data Collection & Measurement team to elevate capabilities in marketing campaign management and data processes. Responsible for understanding analytics and 3rd party tags data needs, enforcing data compliance standards, and supporting data governance initiatives throughout MarTech data ecosystem.
The Staff Statistical Analyst contributes to the analysis of clinical study data through their statistical programming expertise, developing programs and maintaining documentation of GRAIL's clinical studies. Responsibilities include statistical programming support, biostatistician collaboration, data analysis, code library maintenance, team collaboration, and staying updated on industry developments.
Join GRAIL as a Staff Data Engineer to support the data needs of clinical and research activities. Automate and enhance data infrastructure to contribute to early cancer detection efforts. Work collaboratively to design, deploy, and automate secure and efficient data infrastructure and tools.
Join GRAIL as a Staff Data Engineer at their Menlo Park, CA headquarters. Leverage automation and data engineering expertise to support clinical and research data needs, contributing to early cancer detection efforts. Work onsite two days a week, collaborating with various teams to design and deploy scalable data infrastructure and tools.
As a CPQ Analyst at LogicMonitor, you will contribute to the design, implementation, and optimization of crucial systems supporting the company's operations. This role involves analyzing processes, identifying improvement opportunities, and project-managing feature enhancements, with a focus on system enhancements for the Finance team, specifically on the Order to Cash side.
Featured Jobs
Staff Data Scientist at Integral Ad Science (IAS) responsible for driving innovative research, developing ML systems, and collaborating with teams.
As a Senior Data Analyst, Product Analytics at IAS, you will design the data-driven strategies to shape the future of our business facing products across measurement and optimization. By applying your data science and analytical skills, you will help identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams.
The Business Operations Analyst at Beyond Finance will optimize business stakeholder experience, monitor operational performance, refine dashboards, extract and analyze data, and implement quality control processes. They will collaborate with stakeholders and work on ad-hoc projects.
The Senior Data Analyst will work closely with various teams to define data needs, analyze complex data sets, provide data solutions, and support the fintech product team. Responsibilities also include developing SQL models, building dashboards, and identifying process improvements for operational efficiencies.
At Capital One, the Senior Data Analyst will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. Responsibilities include utilizing Open Source/Digital technologies, driving business intelligence, and managing data quality. The ideal candidate will have a degree in a STEM discipline, scripting experience, and expertise in data analysis and AWS services.
Principal Data Risk Associate responsible for maintaining compliance requirements, monitoring data management efforts, and collaborating with cross-functional teams. Must have strong communication skills and experience in business systems analysis, data management, compliance, and risk management.
Collaborate with Agile teams to design, develop, test, and support technical solutions using DataBricks, SQL, Python, RDBMS, and NoSQL databases. Stay updated on tech trends and mentor team members. Manage RDS instances, Lambda, DMS endpoints, and build automation using databricks and tableau. Support Trade Credit's data stewardship initiatives and ensure well-managed data posture.
Own, develop, and evangelize data-driven thinking and analysis across the organization. Write Python and SQL to extract, transform, and aggregate data, create Tableau dashboards, develop statistical models, and convert data insights into action-oriented plans. Collaborate with engineering, product, and business teams to drive projects and optimize workflows.
Facilities Coordinator role at iCapital in Stamford, CT, responsible for office operations, maintenance, inventory management, events coordination, and ensuring workplace functionality. Directly reports to Vice President of Workplace.
Grammarly is seeking a Machine Learning Engineer to join their Marketing Technology team. The role involves shaping marketing strategies, improving customer experiences, and optimizing marketing campaigns using data and advanced algorithms. Responsibilities include maximizing ROI for advertising campaigns and delivering targeted ads to the right audience.
The Executive Director for the Technology, Data Analytics & Innovation Team will be responsible for managing technology and innovation initiatives in the Risk Management & Compliance organization. This role involves leading a team of product managers and program managers to achieve key technology goals and maximize return on investment.
Support the creation and improvement of data products and delivery solutions for Commercial and Investment banking employees. Partner with business leads to deliver solutions using existing data assets and develop new capabilities. Requires superior data analysis skills and the ability to articulate business impacts.
Daily generation of securities valuations, market data analysis, client interaction, financial assignments, communication with stakeholders, and addressing client concerns.
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