Top Analytics Jobs

The Lead Analyst, Analytics will develop advanced analytical models using machine learning, assist in the design of AI solutions, and communicate insights to cross-functional teams.

Analyze large datasets using SQL, SAS, R, and Python to derive insights, build analytics models, and support growth strategies in sales and marketing campaigns.

This role involves using data analytics to inform design strategies, creating visualizations, and collaborating with design teams for effective decision-making and client success.

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.

The Trainee will assist in quantitative and qualitative research projects, media analysis, social media analytics, and business development support within the sports marketing industry.

The Analyst will analyze advertising revenue, automate reporting, manage data sets, and provide analytical support for revenue strategies.

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 analyst delivers data-driven insights, performs data analysis, implements system improvements, and develops predictive models in a healthcare setting.

The Geospatial Analytics Intern will assist in spatial data analysis, mapping, dashboard design, and story map creation while gaining hands-on experience in geospatial technology.

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.

This internship involves data analysis and extraction to support sales planning and performance visibility, requiring SQL proficiency and analytical skills.

The intern will provide analytical support to Sales and GTM teams, focusing on data analysis, extraction, and prototyping AI-driven processes.

The Data Analyst IV will analyze large datasets to provide marketing insights, optimize campaigns, and enhance customer experiences, contributing to business growth.

The Lead Data Analyst will leverage extensive experience to assist Fortune 500 firms in making data-driven decisions by managing data analysis, cloud services, and stakeholder collaboration.

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 Senior Analyst will support portfolio management by conducting analyses, preparing financial reports, and coordinating with asset management teams to enhance investment strategies across various real estate sectors.

As an Analyst, you'll execute VPP and demand response programs, optimize asset performance, and develop market strategies in energy storage.

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 intern will support data analysis, process documentation, and performance optimization in Off-Site Manufacturing and Marketing, focusing on extracting insights from data and documenting operational processes.

As a Data Analytics Consultant, you'll provide data solutions to a Department of War client, including data analysis, engineering, and visualization, while ensuring data integrity.

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 intern will support data collection, analysis, and reporting, using SQL to extract and validate data, develop dashboards, and prepare data for analysis, while gaining practical experience in a professional IT environment.