Top Analytics Jobs

As a Product Engineer, you will develop scalable applications, collaborate with cross-functional teams, and transform high-level visions into software solutions. Your expertise in data analytics, programming languages, and API development will be essential for building enterprise-grade products. You will also contribute to technical documentation and work with cloud platforms and orchestration tools.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.

The IT Analytics Engineer at CoreLogic will design and implement cloud solutions and machine learning models, collaborate with cross-functional teams, and optimize data analytics processes to enhance the real estate ecosystem.

Freddie Mac is seeking a Quantitative Analytics Senior to support Re-Performing Loan (RPL) and Non-Performing Loan (NPL) Deal data and Single-Family portfolio analytics. The ideal candidate will be passionate about data and quantitative methods, assessing mortgage performance measurements such as credit loss, delinquency, default risk, and policy impacts.

As a Market Risk Analytics Senior, you will develop analytical solutions and become the subject matter expert on counterparty risk, focusing on mortgage insurance and reinsurance analytics. Your role involves creating reports and dashboards, applying various analytical tools, and managing credit risk evaluation for counterparties.

The Quantitative Analytics Senior will analyze large data sets, monitor model performance, support portfolio management and hedging, and provide transaction-related analytics and reporting. The role requires programming for data cleaning and visualization, collaborating on model development, and conducting exploratory analysis.

This role involves developing and executing quantitative analytics and modeling projects focused on fair lending at Freddie Mac. Responsibilities include assessing credit risks, enhancing existing models, coding prototypes, coordinating testing, and preparing documentation for model oversight.

The Quantitative Analytics Tech Lead will oversee the analysis for credit risk management, enhance statistical models and methodologies, and communicate insights on model development. The role requires collaboration in decision-making and a focus on transparency in model tracking reporting.

As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.

The Investments Portfolio Analytics Analyst assists in optimizing the investment portfolio analytics platform, validating risk analytics, creating management reports, and producing security data. Responsibilities include maintaining investment data, generating reports, ensuring operational efficiency, and supporting investment related data processes.

Join Freddie Mac's Single-Family Credit Risk Analytics team to provide deeper insights into credit risk trends of newly funded loans using data analytics and machine learning techniques. Develop analytical frameworks, enhance risk models, and stay ahead of emerging risks in the mortgage industry.

The Senior Analytics Manager at BlueLabs will oversee complex quantitative research workstreams and develop new data-driven solutions for a major commercial client. They will lead a team of analysts, provide strategic insights, and ensure project quality meets standards. This role requires 5+ years of experience in advanced analytics leadership and 2-3 years of project management experience.

The SVP, Data and Analytics at LendingClub plays a critical role in leading the data analytics, platform operations, and advanced analytics/AI organization. They are responsible for driving innovation, developing data strategies, and shaping a data-first mindset company-wide.

The Senior Consultant will lead the implementation of the Vault Safety suite for life sciences clients, defining business processes and delivering the solution while ensuring communication with customers and project teams. They will mentor junior consultants and ensure overall success throughout the engagement lifecycle.

Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.

As a Lead Analytics Engineer at Dashlane, you will build reliable data models to empower data users, collaborate with various teams, design and enhance data quality tests, and provide expertise in data modeling while maintaining documentation and code standards.

The Manager of People Insights & Analytics will establish Stitch Fix’s listening strategy and create an integrated analytics roadmap. The role involves improving decision-making through data in collaboration with senior leaders while managing people analytics platforms and enhancing data literacy across the organization.