Top Data & Analytics Jobs

The Senior NetSuite Administrator is responsible for managing and maintaining NetSuite configurations, integrations, and customizations while providing support and training to users and ensuring data integrity.

As an FP&A Data Engineer, you will manage data pipelines, develop financial models, and automate reporting to assist management and teams in making data-driven decisions.

The Staff Data Scientist will drive growth in marketing by analyzing data, building models, and creating frameworks for marketing measurement, optimizing spending, and supporting decision-making across teams.

Design and build Microsoft Fabric and Synapse analytics solutions (lakehouses, warehouses, pipelines, notebooks, semantic models). Develop Power BI reports and semantic models with DAX, performance tuning, and RLS. Integrate Dynamics 365/Dataverse data, author SQL/Python/PySpark transformations, manage source control and deployments, run client workshops, and build AI-enabled experiences.

The Freelance Economics Subject Matter Expert will write assessments and perform accuracy checks for economics content, requiring expert knowledge in macroeconomics, and a minimum of three years of collegiate teaching experience.

Design, build, and maintain scalable relational databases, data warehouses, and integration workflows. Optimize SQL performance, ensure data integrity/security, support reporting/analytics, and collaborate with business stakeholders for timely, compliant reporting and continuity efforts.

Maintain and improve analytics solutions and financial/marketing models (primarily in Excel); perform ETL/data wrangling; analyze market and business data; communicate concise insights to stakeholders; drive data-informed strategic decisions and build production-ready data products or pipelines.

The Digital Analytics Analyst will develop data strategies, implement analytics tools, and translate complex data into actionable insights for business impact.

The Sr Actuarial Analyst will lead actuarial projects, mentor team members, model risk, evaluate pricing, and enhance analytics within the team.

Develop and maintain Acumatica reports, Generic Inquiries, and dashboards; build Power BI visualizations; integrate Acumatica with SaaS systems; ensure data quality, performance, and documentation to support decision-making across engineering, manufacturing, and supply chain.