Data Analyst Jobs in San Jose, CA
Data Analyst jobs in San Jose are in strong demand, concentrated in North San Jose, Downtown, and the Santana Row corridor across enterprise software, semiconductors, fintech, and healthcare technology. Employers hiring right now include TikTok, ByteDance, and WD. Find a role that fits below and apply directly.
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Job Description:
Data Quality Analyst
Location: Remote(CST/MST hours)
Experience: - 8+ Years
What is in it for you?
Looking for a seasonal Data Quality Analyst who will ensure data accuracy, consistency, and reliability by performing data profiling, cleaning, validation, integration, and continuous monitoring while collaborating with stakeholders to resolve data quality issues
Roles and Responsibilities
Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data.
Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis.
Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges.
Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process.
Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified.Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Requirement gathering, Requirement writing, good communication skills, SQL (Structured Query Language), ETL (extract, transform, and load) tool knowledge for data migration.
Create and update requirements artifacts such as Solution Requirements Specifications, use cases, and other artifacts as needed for incorporating in google platform. Responsible for ensuring each artifact complies with quality standards set out by the Requirements Team leadership, and for conducting and facilitating requirements review sessions to ensure understanding across business and IT groups.
Recommend Data quality rules, create data profiles, perform data cleaning and validation, data integration.
Responsible for maintaining those requirements through the life of the project and raising awareness with mitigating strategies when issues arise that may impact budget or timelines.
Validate and get all the requirements reviewed by client teams
Act as a liaison between the delivery teams that are engaged in implementing the solution and the business partners that will be using the solution, as well as interact daily with development engineers and QA analysts.
Desired Skills: Healthcare domain, Python, R
Candidate should be fine to work in Central or Mountain times.
Job Description:
Data Quality Analyst
Location: Remote(CST/MST hours)
Experience: - 8+ Years
What is in it for you?
Looking for a seasonal Data Quality Analyst who will ensure data accuracy, consistency, and reliability by performing data profiling, cleaning, validation, integration, and continuous monitoring while collaborating with stakeholders to resolve data quality issues
Roles and Responsibilities
Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data.
Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis.
Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges.
Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process.
Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified.Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Skills: -
Mandatory skills
Requirement gathering, Requirement writing, good communication skills, SQL (Structured Query Language), ETL (extract, transform, and load) tool knowledge for data migration.
Create and update requirements artifacts such as Solution Requirements Specifications, use cases, and other artifacts as needed for incorporating in google platform. Responsible for ensuring each artifact complies with quality standards set out by the Requirements Team leadership, and for conducting and facilitating requirements review sessions to ensure understanding across business and IT groups.
Recommend Data quality rules, create data profiles, perform data cleaning and validation, data integration.
Responsible for maintaining those requirements through the life of the project and raising awareness with mitigating strategies when issues arise that may impact budget or timelines.
Validate and get all the requirements reviewed by client teams
Act as a liaison between the delivery teams that are engaged in implementing the solution and the business partners that will be using the solution, as well as interact daily with development engineers and QA analysts.
Desired Skills: Healthcare domain, Python, R
Candidate should be fine to work in Central or Mountain times.
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Find Data Analyst JobsData Analyst Job Market in San Jose
Who's Hiring
- TikTok101
- ByteDance101
- WD25
- eBay25
- Adobe25
Top Industries Hiring
- Technology & Software
- E-Commerce & Online Marketplaces
Data Analyst Jobs in San Jose: Frequently Asked Questions
How do I get a data analyst job in San Jose?
San Jose's market rewards candidates who can work across technology and product-driven environments. The strongest hiring comes from enterprise software companies, semiconductor firms, and health tech organizations concentrated in North San Jose and the Downtown core. SQL proficiency, experience with BI tools like Tableau or Power BI, and familiarity with product or operational analytics give candidates a clear edge over generalist applicants in this market.
Which companies hire data analysts in San Jose?
Employers hiring data analysts in San Jose right now include TikTok, ByteDance, and WD, based on current listings on Migrate Mate as of September 2026. San Jose's employer base skews heavily toward large technology companies and mid-size software firms, alongside a growing cluster of fintech and medical device organizations.
Are there remote data analyst jobs in San Jose?
Yes, data analyst work is well suited to remote arrangements given its desk-based, analytical nature. About 33% of data analyst openings tied to San Jose are remote or hybrid as of September 2026, reflecting the tech-forward culture of local employers. Roles focused on reporting, data modeling, and dashboard development tend to offer the most remote flexibility.
How can I get a data analyst job in San Jose with little or no experience?
The most realistic entry path in San Jose is targeting junior analyst or business intelligence associate roles at mid-size software and SaaS companies, which hire more entry-level candidates than large enterprise firms. Building a portfolio with public datasets and tools like Python or Tableau, and pursuing roles in operations or customer success analytics, opens doors locally. San Jose Community College and nearby universities also have connections to local tech internship pipelines worth pursuing.
Which industries hire the most data analysts in San Jose?
Most data analyst openings in San Jose sit in Technology & Software and E-Commerce & Online Marketplaces, per current listings on Migrate Mate as of September 2026. San Jose's role as the heart of Silicon Valley means technology product companies and semiconductor manufacturers generate the deepest and most consistent demand for analytical talent.
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