Top Hybrid Senior Level Data & Analytics Jobs

The Data Architect will be responsible for designing, implementing, and optimizing data solutions to support business needs. Responsibilities include evolving data infrastructure, architecting data systems, maintaining data pipelines, establishing data governance, and mentoring team members.

The Lead Data Scientist will transform data into actionable insights for marketing strategies, develop predictive models, optimize acquisition algorithms, and collaborate with other departments to drive business decisions based on data analysis. Responsibilities include leading data science initiatives, building experimentation frameworks, and presenting findings to stakeholders.

The Research Analyst will conduct macroeconomic research and investment manager due diligence, develop market research, summarize findings, analyze market factors affecting U.S. equities, and write reports and white papers.

The Principal Solutions Architect will manage multiple project workstreams, design cloud data architectures, lead junior members, communicate with clients, and contribute to proposal developments, ensuring high-quality deliverables and client satisfaction.

As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.

As a Product Data Analyst at Inkitt, you will build and maintain reporting dashboards, conduct deep dives into user behavior, guide product development with insights, and support data infrastructure. You'll partner with product, engineering, and design teams, handle ad-hoc analyses, and lead experimentation efforts.

The Sr. Business System Analyst is responsible for planning, designing, configuring, and supporting ongoing transformation of business processes, systems, and applications. The role focuses on improving efficiency and compliance using Oracle Cloud ERP, leading requirement development, conducting fit-gap analysis, and managing data migration and user training.