Top Senior Analytics Jobs

As a Quantitative Analytics Associate Senior, you will support data-driven decisions in collections and recovery, leveraging analytics and machine learning to optimize financial outcomes. Responsibilities include data analysis, trend monitoring, and collaboration across functions to enhance collection strategies.

Looking for a Senior Data Analyst to analyze large datasets, develop dashboards, optimize business performance, and mentor juniors. Requires strong SQL, Python, and data visualization skills.

The Senior Data Analyst will perform strategic analyses, develop key business metrics, and collaborate with various stakeholders to interpret data related to Chime's performance and member interactions.

Drive data analysis strategy, build models, and lead a team of analysts while collaborating across business units and improving operational efficiencies.

The role involves leading the development and documentation of market risk models, performing complex analytics on financial products, and collaborating with teams for improvement in risk management processes.

Lead the Internal Audit Data Solutions program by applying data analytics and AI-driven solutions to enhance audit capabilities and risk management. Collaborate with teams to develop data-driven testing and automation in auditing processes, while recommending tools and methodologies for improved efficiency.

The Sr. Credit Analyst will apply data analytics in Remitly's Lending product, improve customer experience, and develop product strategies through collaboration and experimentation.

The Senior Analyst will consult, build, and deploy data using various platforms, guiding business strategy through data analysis and reporting.

As a Strategic Analytics Associate, you will analyze data to provide insights on risk management strategies and operational controls, enhancing decision-making.

The Senior Analytics Consultant leads data analysis initiatives to optimize profitability and compliance, providing insights and mentoring team members.

The role involves developing fraud rules, running analytical models, monitoring KPIs using visualization tools, and collaborating with stakeholders to improve fraud detection strategies.

The Principal Data Scientist will analyze data to drive pricing strategies, enhance marketplace performance, and collaborate with cross-functional teams to design impactful experiments and dashboards.

The Senior Associate Data Scientist will develop marketing audience segments, analyze data, and enhance decision-making processes for Chase's marketing strategies.

The Staff Decision Scientist will provide analytics solutions and insights to clients, mentor junior team members, and optimize client success.

The Sr. Data Analyst will utilize industry knowledge to analyze data, develop solutions, and support customers globally, focusing on delivering high-quality IT services.

The Senior Analyst will conduct research on data lifecycle and AI solutions, create impactful reports, consult clients, and foster collaboration across teams.

Lead a data science and analytics team for Netflix's game product and platform. Responsible for measurement, experimentation strategies, and coaching the team to deliver insights vital for games strategy.

As a Principal Data Analyst, you'll lead credit analytics efforts, develop forecasting models, and collaborate with multiple teams to enhance Upstart's credit platform.

The role involves supporting hedge fund clients with risk and valuation analytics, requiring expertise in financial products, pricing models, and collaboration with developers for implementation.

Lead and innovate in ALM model development, collaborating with various teams to enhance quantitative strategies and mentor junior analysts.

The Senior Data Scientist will analyze marketing data to drive insights, develop reports, consult on KPIs, support marketing experiments, and collaborate with various teams to optimize strategies.

The Sr Associate, Fraud Analytics will analyze data to identify fraud trends, develop strategies, and utilize machine learning models for fraud prevention while collaborating with stakeholders across the company.

Design and optimize fraud detection rules, managing libraries and workflows, collaborating with teams for analytics, and providing strategic insights.

As a Manager of Risk Analytics, lead a team focusing on account security, implement risk strategies, analyze data with SQL, and collaborate to enhance security measures.

The Principal Data Scientist will drive data-informed product and pricing strategy through experimentation, data analysis, and collaboration with cross-functional teams to improve marketplace performance and optimize pricing.