Top Data & Analytics Jobs

Design and deliver major Azure-based data systems and products (ingestion, transformation, storage, semantic modeling). Build production-grade pipelines and feature infrastructure for analytics and ML, drive platform architecture and standards, diagnose performance and scalability issues, mentor engineers, and partner with stakeholders to translate business needs into scalable data solutions.

Lead media analytics engagements translating paid, owned, and earned media data into actionable insights. Oversee campaign reporting, diagnostics, test-and-learn, measurement frameworks, data quality, and client-facing recommendations across digital and offline channels. Manage and mentor analysts and collaborate with media, marketing, data science, and engineering teams to improve strategy, optimization, and business outcomes.

Lead data analysis efforts across source systems: document assets and processes, perform exploratory analysis and data profiling, define mapping and global transformation rules, validate data quality and integrity, identify issues, support SDLC and developers, provide ad-hoc decision support, and present insights to senior stakeholders to enable data-driven decisions.

Contract Google Analytics specialist to audit, implement, and optimize GA4 and GTM setups, build Looker Studio dashboards, integrate CRM data, deliver insights and client trainings, and support short-term marketing analytics engagements.

The VP of Credit & Business Intelligence will oversee credit policy and analytics for SMB financing, focusing on AI/ML model implementation, risk management, and team leadership in analytics strategy.

Designs and delivers data warehouse and analytics solutions: ETL development, advanced SQL, reporting, dashboards, data quality evaluation, and stakeholder collaboration. Owns analytics projects, documents designs, mentors junior staff, and supports cross-functional initiatives to convert raw data into actionable insights for leadership.

Design, optimize, and maintain conceptual and logical database models. Migrate legacy data, develop secure database solutions, perform SQL development and administration, troubleshoot and improve performance, define backup and security procedures, and train internal partners while supporting client service duties.

Work with senior data engineers to design, build, and optimize Databricks/Spark data pipelines and Lakehouse solutions. Write PySpark and SQL, implement ETL/ELT, perform data validation and performance tuning, support governance and CI/CD, collaborate with analysts and stakeholders, and document designs.

Lead design and delivery of end-to-end enterprise data collaboration programs: technical architecture, privacy framework, operating model, use cases, measurement, partner enablement, and a reusable Master Playbook to hand off scalable programs to customer teams.

Designs and maintains Power BI reports, dashboards, semantic models, and end-to-end analytics solutions. Builds ETL processes, data pipelines, and data transformations, performs advanced SQL/DAX/M work, automates reporting (including approved AI tools), validates data quality, recommends process improvements, and presents insights to technical and non-technical stakeholders. Individual contributor who may lead moderate-risk projects and deliver user training.