Top Hybrid Data & Analytics Jobs
As a Compensation Analyst at Definitive Healthcare, you will be responsible for managing compensation programs, benchmarking roles to market data, ensuring compliance, and developing analytical models to support decision-making. Join a collaborative team dedicated to transforming healthcare commercial intelligence.
Seeking a Data Scientist with a product mindset to collaborate with cross-functional teams in designing and implementing innovative products and features using data science techniques. Responsibilities include algorithm development, testing, and measurement of impact.
The Data Scientist, Product Analytics position at Peloton involves driving business and product strategy by applying predictive and statistical modeling techniques to understand user interactions, evaluate features, define metrics, design experiments, and drive personalization strategy. Responsibilities include developing new experimentation methodologies, building models, owning analytics within product development work streams, and collaborating with cross-functional teams to make data-driven decisions.
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Lead the development lifecycle of ML models, maintain pipelines, collaborate with team members, stay updated on ML technologies, adhere to code standards, present data stories, and mentor junior team members in a Fortune 50 retailer's Forecasting team.
The Analytics Engineer II at Home Chef leads technical work and projects to enable data-driven decisions. They handle data ingestion, cleaning, transformation, and model creation, while providing support to business teams with analytics. The role involves engaging with stakeholders, ensuring data quality, and developing self-serve reporting tools.
Seeking a Senior Solutions Architect to shape the strategy, architecture, design, and implementation of scalable solutions for the Data Intelligence team. Must have 15-20 years of experience in Big Data, data warehouse, and data analytics projects.
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As a Senior Data Scientist at Square Banking, you will shape and execute strategies to expand credit eligibility, enhance loan profit, and improve banking user experience globally. Responsibilities include influencing product roadmap, leading A/B testing, and designing business metrics for success.
The Senior Strategy Analyst at Monigle partners with cross-functional teams to contribute to multiple client engagements, manages multiple projects, guides client experience, develops storytelling and presentation skills, conducts research, and actively contributes to projects and initiatives. The ideal candidate has 1-3 years of brand strategy experience, exceptional communication skills, expertise in presentations, proficiency in PowerPoint, and experience with complex brand programs and research methodologies.
Join our team in Cybersecurity, Privacy, and Forensics to drive strategic programs, data analytics, and innovation. Help clients implement effective data protection programs and develop transformation strategies for data security. Assess, design, and implement data protection capabilities for sensitive data landscape. Work as part of a team of problem solvers to address complex business issues.
As a Senior Associate in Cybersecurity, Privacy, and Forensics at PwC, you will be part of a team solving critical business and data protection challenges. Responsibilities include driving strategic programs, data analytics, deals, cyber resilience, response, and technical implementation activities.
Join our Cybersecurity, Privacy and Forensics team at PwC to solve critical data protection challenges, drive strategic programs, and implement data protection technology. As a Senior Associate, you will work on assessing, designing, and implementing data protection capabilities for clients.
Develop and maintain data pipelines, implement ETL processes, create data models, and work with big data technologies. Collaborate with teams to ensure data quality and integrity for NBC Sports Next's digital platforms and applications.
Senior Data Engineer role at Fandango, responsible for designing, building, testing, and maintaining data pipelines. Collaborate with teams to meet data needs, troubleshoot production issues, and mentor team members. Requires 9+ years of Data Engineering experience and programming skills in Python, Java, Scala, and SQL.
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