Top Artificial Intelligence Data & Analytics Jobs

The Senior Financial Analyst will manage financial forecasting, Gross Margin analytics, and cloud cost management in a SaaS environment, supporting strategic finance initiatives alongside senior leadership.

The role involves designing AI workflows, monitoring market and brand metrics, ensuring messaging compliance, managing influencer relationships, and analyzing competitor media. It incorporates project management and requires strong analytical and communication skills.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

As Data Engineering Lead, you'll own SuperDial's data platform, scaling the data warehouse and pipelines while leading analytics workflows to support product and operational insights.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

The Director of Product Analytics will manage a team to set analytics agendas, assess product success, and enhance business reporting using data-driven strategies.

The role involves identifying user friction points through data, maintaining KPIs, developing an analytical roadmap, and collaborating with cross-functional teams to enhance product experience. The manager will also mentor a team focused on technical excellence and accountability.

As a Business Scientist, you will engage with clients to deliver analytics solutions, apply statistical methods, and translate insights into actionable strategies while managing projects and collaborating with teams.

As a Staff Data Engineer, you'll oversee Gamma's data infrastructure, architect scalable systems, mentor engineers, and drive strategic decisions for data usage across the organization.

As a Principal Data Architect, you'll lead AI-native data transformations using GCP, design AI architectures, modernize legacy systems, and collaborate with clients.