Top Senior Data & Analytics Jobs

Freelance Business Intelligence Analyst supporting the Marketing Science team during leave coverage. Responsibilities include managing Snowflake data, developing campaign dashboards and reports, forecasting performance, integrating digital marketing data, validating tracking and data quality, building SQL transformations, automating analysis with Python, and translating findings into stakeholder-ready recommendations and presentations.

Leads paid media analytics by integrating data from advertising platforms, building scalable data models and automated dashboards, maintaining tracking and attribution systems, and developing performance benchmarks. Partners with Paid Media, Marketing, Product, Engineering, and Data teams to evaluate campaigns, optimize budgets and targeting, conduct tests, and deliver actionable recommendations related to ticket sales, event awareness, and customer acquisition.

Leads data, business intelligence, financial analytics, and AI engagements for private equity and middle-market clients. Designs scalable data models and architectures, develops Power BI solutions and AI agents, validates financial data, delivers forecasting and performance insights, manages engagement budgets and timelines, and advises executive stakeholders. The role also mentors team members, establishes delivery standards, supports AI enablement, and contributes to practice growth.

The Data Manager develops and improves enterprise data management, master data, governance, quality, lifecycle, and ownership practices. The role supports customer, product, vendor, pricing, material, and installed-base data across CRM, ERP, PIM, engineering, reporting, and operational systems. Responsibilities include documenting data flows, coordinating integrations, improving data quality, enabling Power BI and AI initiatives, supporting compliance controls, and partnering with business and IT stakeholders on transformation, remediation, and continuous improvement.

Leads marketing analytics for consumer packaged goods brands, delivering insights on marketing ROI, marketing mix, forecasting, pricing, and promotions. Partners with brand, category management, analytics, vendors, and data suppliers to develop annual marketing plans, model investment scenarios, interpret research, improve media and marketing returns, and increase KPI adoption. Requires expertise in econometric modeling, regression, CPG retail measurement data, and quantitative marketing analysis.

Build and support scalable big data pipelines, integrations, and Data Lakehouse architecture for marketing, analytics, reporting, and AI applications. Develop data models, monitor data quality, troubleshoot production issues, and provide post-deployment support. Collaborate with analytics, data science, AI, business, and engineering teams to improve data accessibility and define long-term platform architecture. The role requires strong Python and PySpark expertise, cloud and distributed-systems experience, and familiarity with orchestration, data governance, and CI/CD tools.

Consultant helps pharmaceutical and biotechnology manufacturers by designing and executing analytics, managing projects, analyzing data, and providing strategic recommendations based on insights from healthcare data.

Designs, develops, tests, troubleshoots, and deploys cloud-based data and analytics solutions using AWS, infrastructure as code, and software development practices. The role involves data integration, automation, application and data model design, system integration, code reviews, testing, troubleshooting, and stakeholder collaboration. It also provides informal leadership through mentoring, design sessions, coding sessions, and communication of complex technical concepts.

Conduct margin, unit economics, market sizing, segmentation, forecasting, KPI reporting, and strategic analysis across GoodLeap’s fintech and sustainable-home-solutions businesses. Use SQL, Python, Excel, and AI tools such as Claude to automate workflows and improve analytical speed. Translate complex findings into executive recommendations, support growth and pricing decisions, track initiative performance, and identify opportunities to embed AI into business processes.

Leads market intelligence by synthesizing market, consumer, competitive, retailer, and industry data into strategic insights. Advises senior leaders, identifies growth opportunities and threats, develops dashboards and executive reports, supports brand and commercial strategy, oversees intelligence tools and providers, and builds organizational analytics capabilities. Requires advanced statistical analysis, pricing models, data visualization, executive communication, and team leadership.