Top Entry Level Data & Analytics Jobs in San Francisco Bay Area, CA

Support HRIS implementation by extracting, cleansing, validating, and preparing employee data for migration. Reconcile reports, fix duplicates and missing data, create Excel transformation files, maintain data quality, document work, and assist with testing and post-go-live support.

Analyze large healthcare datasets to extract insights, build data models, reports and dashboards, ensure data quality, collaborate with cross-functional teams, and present findings to stakeholders.

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

Abstracts, validates, and reports clinical data from the EHR for the Stroke Program. Performs data audits, resolves discrepancies, completes regulatory submissions, generates quality/outcome reports, supports audits, and collaborates with clinical teams to ensure accurate registry reporting and process improvements.

Perform end-to-end data analysis and translate business requirements into scalable data products, reports, dashboards, and data pipelines. Design data models, document architectures (ERDs, dimensional models), support ETL/ELT, data quality, governance, lineage, and enable client adoption of modern analytics and AI-driven solutions through collaboration, training, and troubleshooting.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

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

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

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

Maintain and improve master data for products, vendors, and customers across NetSuite and Salesforce. Ensure data quality and consistency, process tickets, collaborate with cross-functional teams, suggest process improvements, and support business reporting and operations while adhering to data standards.