Top Analytics Jobs

The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.

The role involves using data analytics and machine learning to extract insights from data at a bank, improving efficiency and innovation. Responsibilities include data extraction, cleaning, developing data pipelines, conducting statistical analyses, and collaborating with stakeholders to add value from data.

The Principal Analytics Consultant will lead analytics process automation and data visualization initiatives, driving client relationships and business value through advanced analytics strategies. Responsibilities include building minimum viable products, managing projects, and guiding team members while utilizing tools such as Dataiku, Alteryx, and cloud services like AWS and Azure.

The Private Equity Analytics Senior Analyst oversees client deliverables in private asset monitoring, manages a team of analysts, and ensures timely reporting. They develop client relationships and coordinate data collection while working across various private asset strategies.

The Data Analytics Manager leads the data analytics team, responsible for defining the data analytics vision, architecture, and implementing data pipelines. This role involves deriving actionable insights from complex datasets, ensuring data quality and reliability, and collaborating with cross-functional teams to inform strategic business decisions.

As a Customer Analytics Manager at ZipRecruiter, you will analyze large datasets to provide actionable insights for enterprise customers. You will collaborate with cross-functional teams and train customers on leveraging products for effective hiring solutions.

The VP of Data Consulting at The Tie leads a team focused on delivering insights for clients in the blockchain sector. Responsibilities include managing client relationships, overseeing project execution, mentoring team members, and leveraging data analytics to enhance decision-making. This role requires strong leadership, client-facing skills, and technical expertise in data science and engineering.

The Investment Portfolio Analytics Manager will oversee the investment data and analytics platform, manage a team of Analysts, ensure accuracy of analytic outputs, redesign asset allocation models, produce quarterly reports, and coordinate with various teams for investment-related data.

The Analytics Solution Owner will engage with clients to understand their analytics needs and develop comprehensive solutions. Responsibilities include designing analytics visuals, managing project delivery, providing technical leadership, and facilitating client education and training to optimize the use of analytics solutions.

The Financial Systems and Data Analytics Lead will design, implement, and maintain systems for financial data analytics and process automation, collaborating with cross-functional teams to automate accounting entries, support month-end close, and create financial reports, while also engaging in data management and ad-hoc analytics projects.

The Lead IT Architect – Operational Reporting & Analytics at McKesson will set architectural vision for reporting and analytics solutions, lead design activities, and engage with business stakeholders. This role requires collaboration with various technology areas to enhance operational excellence and compliance in reporting processes.

The role involves managing client projects, developing data strategies, creating automation processes, and designing visualizations and predictive analytics tools to meet client business objectives. Effective communication, project management, and a strong background in finance are essential for success in transforming data into actionable insights.

As a Senior Manager in Data and Analytics, you will lead client projects by designing, developing, and implementing processes and tools to enhance data usage. Responsibilities include managing project scope and budgets, collaborating with stakeholders, translating analytics into insights, and overseeing project execution.

As a Consultant in Data and Analytics, you will create and implement processes and tools to help clients leverage data effectively. Responsibilities include translating data into actionable insights, managing client projects, and collaborating with stakeholders to drive business transformation using analytics tools.

The Sr. Data Scientist will leverage analytics and machine learning to inform product development, optimize user experiences, and drive key performance metrics. Responsibilities include conducting experiments, analyzing customer usage, developing reporting, and presenting findings to influence data-driven decisions.

As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.

The Financial Performance & Market Risk Analytics Senior will manage liquidity risk, conduct performance analytics on the Capital Markets business, and prepare reporting on portfolio activities. The role involves developing analytics to enhance decisions, interacting with portfolio managers, and preparing forecasts and presentations.