Top Entry Level Data & Analytics Jobs in Sacramento, CA

Manage client data reconciliation projects by establishing broker data connections, preparing and verifying large datasets, troubleshooting broker feeds, responding to inbound client queries via Salesforce ServiceCloud, demonstrating services and identifying cross-sell opportunities, and supporting ad-hoc operational projects to improve team effectiveness.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

As a French Fact-Checking Annotator, you will evaluate responses for factual accuracy, apply guidelines, identify misinformation, and provide structured annotations while maintaining high quality and detail.

The Reports Analyst role involves gathering, cleaning, and analyzing data, while training staff and providing insights to support business strategies.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Organize and curate large volumes of raw information: extract key points from transcripts, maintain clean spreadsheets, curate links/resources, tag and categorize content, and follow or propose systems for information structure. Part-time remote role with initial 10 hours/week and potential to grow.

The Data Entry Specialist manages invoices and payments, ensuring accurate data processing and maintaining records while supporting basic administrative tasks.

The role involves collaborating with business units, facilitating project coordination, resource planning, documenting requirements, and supporting the IT intake process to enhance project delivery and stakeholder satisfaction.

The Solutions Analyst delivers reporting and operational outputs, analyzes datasets, resolves issues, maintains solution components, and collaborates with teams to improve efficiency.