Top Senior Analytics Jobs

The Senior Analyst, Data Analytics manages data pipelines and analytical models, delivering analytics and reporting to stakeholders. This role involves translating business needs into data requirements, building automated ETL processes, and ensuring data quality and governance.

The Lead Data Analyst will manage data analysis projects, align business goals with technical solutions, and drive data-driven decision-making using advanced SQL and AI tools.

The Director leads actuarial loss data analytics, manages product backlogs, ensures compliance, and fosters collaboration between reserving actuaries and data engineering teams in an Agile environment.

The Senior Data Scientist will lead revenue-driving initiatives, optimize strategies, enhance data analysis techniques, and improve data pipelines for maximum revenue impact.

The Actuary analyzes financial and economic data for strategic decisions, ensures data integrity, collaborates with stakeholders, and evaluates market trends.

The Quantitative Analytics Tech Lead oversees risk assessment of financial models, provides quantitative support to senior management, and monitors emerging risks for the SF acquisition team.

Lead a team of data analysts to analyze complex datasets, build models and forecasts, ensure data quality, and present insights to influence business strategy and drive growth across cross-functional stakeholders.

Perform data collection, cleaning, analysis, statistical modelling and visualization to generate business insights. Build data pipelines, automate analyses, create dashboards, and support decision-making across business functions. Contribute to data science research and tooling at higher levels.

Analyze healthcare claims to identify payment anomalies, build statistical and predictive models, create dashboards and reports for executive decision-making, ensure data integrity, automate processes, and present actionable insights to stakeholders.

Lead end-to-end market research and advanced analytics for the U.S. Thoracic business, synthesizing multiple data sources to generate actionable insights, develop predictive models and dashboards, and support cross-functional strategic decision-making and presentations to senior leaders.

Lead analytics strategy for channel marketing, build attribution and incrementality frameworks, run experimentation and forecasting, surface optimization insights, and grow a high-performing analytics team to improve ROI and guide investment decisions.

Lead the development of analytical frameworks to assess mortgage credit risk, automate risk monitoring processes, and provide insights using machine learning and data analysis.

The role involves managing data for email marketing campaigns, creating audiences using SQL, collaborating with analytics teams, and communicating insights to stakeholders.

The role involves analyzing employee data, leveraging AI for insights, developing reporting frameworks, and enhancing workforce strategies through advanced statistical methods and collaboration with cross-functional teams.

Lead measurement and activation methodologies in media analytics, execute statistical experiments, and integrate data in privacy-safe environments.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Associate will support portfolio analytics, focusing on evergreen vehicles and asset-level analyses to inform investment decisions and enhance portfolio management. Responsibilities include data-driven insights, risk analysis, and collaboration across firm teams to optimize performance and liquidity pacing.

The Director of Derivatives Analytics & Execution will drive revenue growth by analyzing market trends and developing commercial policies, utilizing data-driven insights to inform business decisions and collaborate cross-functionally.

The role involves developing risk models, conducting quantitative research, ensuring compliance, and leading a team to enhance decision-making in risk management.

The Data Analyst will manage ETL pipelines using Ab Initio, leverage SQL and Python for data processing, and collaborate across teams to derive insights from large datasets in a cloud environment.

The Senior Predictive Analytics Analyst builds predictive models to inform business decisions, collaborating with teams and ensuring regulatory compliance.

The Senior Specialist will develop and validate data extracts, curate T-SQL queries, and collaborate with teams to support healthcare analytics and operational needs.

The Senior Associate delivers advanced analytics using tools like SQL and Python, engaging with business leaders and mentoring junior staff to drive data-informed decisions and improvements.

The Associate Director will lead forecasting and analytics for the CF business, develop complex models, analyze trends, and communicate insights to stakeholders.

The Senior Data Analyst will develop scalable analytics solutions, partner with stakeholders, and provide insights to advance AI operations in Generative AI.