Top Data & Analytics Jobs

As IT Manager, you will oversee the Data Operations teams, ensuring stability and security of database technologies and leading various initiatives. Responsibilities include managing team performance, developing policies, participating in budgeting, and preparing for audits.

The People & Culture Lead Data Scientist analyzes employee data to provide insights that drive decision-making in HR. Responsibilities include developing predictive models, creating data visualizations, ensuring data quality, and advocating for data literacy within the organization.

The Head of Consumer Data & Analytics at Mattel will lead the data and analytics efforts across the Direct to Consumer and e-commerce organization. Responsibilities include creating a data-driven strategy, building a unified commerce data approach, managing a team of data experts, and partnering with global teams to ensure data integrity and governance while driving digital transformation and growth strategies.

As a Senior Data Scientist, you will develop and operationalize ML-based forecasting models for financial metrics, analyze time-series data, automate solutions, and provide insights using statistical methods to drive business decisions.

The Data Scientist will collect, analyze, and interpret data to drive insights for business decisions in the gaming industry. Responsibilities include developing automated processes for analysis, collaborating on end-to-end solutions, and researching machine learning approaches.

As a Senior Analyst in FP&A at Shutterstock, you'll perform financial modeling, support revenue and expense forecasting, prepare reports, analyze business metrics, and provide insights for strategic decision-making. You'll be involved in tracking KPIs and conducting scenario planning for various initiatives.

The Data Engineer will collaborate with a team to design and deliver data infrastructure that supports various applications and analytics tools. Responsibilities include developing data pipelines and APIs and ensuring the end-to-end lifecycle of these applications through continuous delivery.