Top Hybrid Data Analysis Jobs

The Staff Data Scientist analyzes customer funnel performance and designs frameworks to improve conversion rates and operational efficiency. Responsibilities include partnership with various teams, supporting experimental initiatives, and translating insights into actionable strategies.

ProCogia seeks passionate applicants for various roles in data science, project management, engineering, and client success to drive innovative data solutions for clients.

As a Data Scientist II, you will develop predictive models for ticket fulfillment, optimize customer experience, and collaborate with cross-functional teams to translate business needs into data products.

The Senior Statistical Analyst will provide statistical programming expertise, develop SAS programs, ensure regulatory compliance, and mentor team members for clinical studies in eye care and aesthetics.

The Graduate Growth Operations Associate will enhance user engagement through data analysis, process improvement, and managing engagement initiatives to boost user counts.

As a Quantitative Researcher, apply economic and statistical models to large-scale data, collaborating to solve quantitative challenges across industries.

Lead a Customer Engagement team delivering marketing analytics and commercial intelligence to major advertisers. Manage client portfolios, drive analytics projects (MMM, attribution, experiments, segmentation, pricing), ensure delivery quality and adoption, grow accounts, hit revenue/profit goals, coach staff, and contribute to business development and internal initiatives.

As a Data Analyst, you will reconcile and normalize customer data, support onboarding processes, and improve database performance, directly impacting business operations.

As an Analyst, you will develop asset-level forecasts and models, analyze power market data, and collaborate with clients to provide insights on North American power markets.

As a Data Analyst at GigSafe, you'll manage data pipelines, analyze data using Python and SQL, and convert insights into actionable business decisions in a collaborative environment.