Data Analytics Manager Jobs in San Jose, CA
Data Analytics Manager jobs in San Jose are in strong demand, concentrated in North San Jose, Downtown, and the Almaden Valley corridor across semiconductor, enterprise software, and cybersecurity sectors. 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 Analytics Manager JobsData Analytics Manager Job Market in San Jose
Who's Hiring
- TikTok101
- ByteDance101
- WD25
- eBay25
- Adobe25
Top Industries Hiring
- Technology & Software
- E-Commerce & Online Marketplaces
Data Analytics Manager Jobs in San Jose: Frequently Asked Questions
How do I get a data analytics manager job in San Jose?
Focus your search on San Jose's dominant sectors: semiconductor design, cloud infrastructure, and enterprise software, where data analytics managers oversee product telemetry, supply chain metrics, and go-to-market reporting. North San Jose and the Santana Row corridor hold the highest concentration of roles. Candidates who stand out typically combine SQL and Python proficiency with experience translating data outputs into executive-level decisions, a skill set that resonates strongly with San Jose's engineering-driven culture.
Which companies hire data analytics managers in San Jose?
San Jose data analytics manager roles are posted by TikTok, ByteDance, and WD and others right now, based on current listings on Migrate Mate as of September 2026. The local market is shaped heavily by established tech manufacturers and SaaS companies headquartered in or near Downtown San Jose and the North First Street corridor.
Are there remote data analytics manager jobs in San Jose?
Yes, though availability varies since analytics managers often need to collaborate closely with engineering and product teams on-site. About 33% of data analytics manager openings tied to San Jose are remote or hybrid as of September 2026, with flexibility most common in enterprise SaaS and fintech roles. Strategy, reporting, and stakeholder presentation work tends to be the most remote-compatible part of the job locally.
How can I get a data analytics manager job in San Jose with little or no experience?
The most realistic entry path in San Jose is moving into a data analyst or business intelligence analyst role at a mid-size tech or semiconductor company, then building toward a manager title internally. San Jose employers in supply chain analytics and product operations frequently promote strong individual contributors. Familiarity with tools like Tableau, Looker, or dbt, combined with any cross-functional project leadership, makes the transition significantly more achievable at local companies.
Which industries hire the most data analytics managers in San Jose?
San Jose data analytics manager roles concentrate in Technology & Software and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of September 2026. San Jose's position as a global hub for semiconductor manufacturing and enterprise software development means those sectors generate consistent, year-round demand for analytics leadership rather than seasonal or project-driven hiring.
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