Top Data & Analytics Jobs
.png)
The Privacy Analyst role at Grammarly involves managing vendor privacy reviews, conducting data protection impact assessments, drafting educational resources, and training teams on privacy practices. The analyst collaborates with cross-functional teams to ensure compliance with privacy regulations and contributes to privacy audits and controls management.
The Principal Business Intelligence Engineer will lead data visualization efforts, develop dashboards using Tableau, manage relationships with internal customers, and mentor junior team members. This role involves analyzing data integrity, governing datasets, and presenting analytical results to non-technical decision-makers.
As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.
Featured Jobs
As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, collaborate with finance and data analysts to define business metrics, ensure data quality and consistency, and create documentation to enhance data access for teams.
Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.
As a KYC Specialist, you'll review and process KYC documents, perform data entry of customer information, and provide customer service to internal and external clients. You'll work in a fast-paced environment, ensuring accuracy and timely communication with global support teams.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
The Senior Database Engineer will design, implement, and optimize cloud-based Oracle databases to support enterprise risk management software. Responsibilities include overseeing database architecture, performance monitoring, and administration, as well as mentoring junior team members and ensuring operational seamlessness.
As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.
Top Companies Hiring Data + Analytics Roles
See All
.png)
All Filters
No Results
No Results
