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Top Data Management Jobs in Sacramento, CA
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate, you will assist clients by aligning their data strategies to their business needs and migrate them to modern cloud environments. You will leverage technologies like AWS, Azure, and Snowflake, developing data governance strategies and advanced analytics solutions while ensuring successful project execution.
Top Skills:
AWSAzureDatabricksGCPHadoopKafkaPythonScalaSnowflakeSparkSQLTeradata
AdTech • Digital Media • News + Entertainment
The Senior Manager, Data Engineering leads a team in overseeing data acquisition, ETL/ELT pipeline development, and database design across The Walt Disney Company's portfolio. Responsibilities include strategic planning, resource management, and collaboration with cross-functional stakeholders, focusing on delivering impactful data solutions and addressing technical challenges.
Top Skills:
PythonSQL
Big Data • Fintech • Mobile • Payments • Financial Services
As a Manager on the Revenue Analytics team, you'll drive the growth strategy for a Revenue segment by providing analytical insights, establishing KPIs, and optimizing decision-making processes. Your role will involve collaborating with internal and external stakeholders, producing actionable recommendations, and leading projects from start to finish.
Top Skills:
PythonSQL
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Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
Lead Dandy's centralized data engineering function, building and optimizing data processes and infrastructure. Collaborate with cross-functional teams to enhance data accessibility and quality, driving business decisions through data-driven insights. Implement best practices in data engineering and foster a data-driven culture within the organization.
Top Skills:
Python
Artificial Intelligence • Cloud • Internet of Things • Machine Learning • Analytics • Industrial
As a Part Time Student in Quality/Data Analytics, you will identify and analyze information to support issue resolution, develop tools for data analysis, participate in development assignments, and adhere to project plans and schedules.
Top Skills:
Data Analysis
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eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As Director of Data Science at Square Point of Sale, you will lead a team of data scientists and analysts, developing data strategies that drive business value. You will collaborate with senior leadership across various domains, enhancing data practices and ensuring the team delivers impactful insights, utilizing machine learning and statistical analysis.
Top Skills:
PythonSQL
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Director of Data Science will lead the Square Point of Sale Data Science & Analytics team, focus on business value through data integration, collaborate with cross-functional teams, and oversee data science practices while driving strategic initiatives across Square and Block.
Top Skills:
PythonSQL
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.
Top Skills:
PythonRSAS
Consumer Web • eCommerce • Food • Healthtech • Natural Language Processing • Social Impact
The Data Applications Manager will lead the development and implementation of data integration strategies and operational reporting solutions. The role requires managing enterprise-level systems and ensuring seamless data ecosystem performance while overseeing technical team management and stakeholder engagement.
Top Skills:
PythonSQL
Big Data • Cloud • Productivity • Software • Database • Analytics • Automation
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
Top Skills:
Data Science
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