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 Mercedes-Benz. Find a role that fits below and apply directly.
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Work you'll do/Responsibilities
We are looking for a senior, hands-on analytics leader to own metrics, instrumentation, and reporting across multiple lines of business. This person will work independently with minimal oversight, setting their own priorities and driving work from definition through delivery. The role is highly visible and front-facing, so the ideal candidate is as comfortable explaining findings to business leaders as they are working through data with engineers
- Own the analytics and metrics for a couple of lines of business, from defining what to measure to delivering trusted, decision-ready reporting.
- Write clear instrumentation specifications so engineering teams capture the right data accurately and consistently.
- Design, build, and maintain scalable metrics pipelines, using hands-on data engineering where needed.
- Perform data sense checks, identify data quality issues, trace them to their source, and recommend improvements.
- Explore, mine, and analyze large datasets to uncover patterns and turn them into actionable insights.
- Create dashboards and visualizations that make complex data clear to a broad audience.
- Partner with technical and non-technical stakeholders, presenting findings and recommendations with confidence.
- Act as the go-to contact for questions on the data, metrics, and reporting for the areas you own.
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
- Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes
The Team
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Qualifications
Required
- 8+ years of relevant experience in analytics, data engineering, writing instrumentation specs, and/or creating visualizations.
- Strong data skills, including data validation, quality assessment, pattern discovery, and process improvement recommendations.
- Proficiency in SQL and Spark.
- Practical experience using AI tools for data exploration, mining, and analysis.
- Hands-on data engineering experience, as needed to support scalable metrics pipelines.
- Excellent written and verbal communication skills, with the ability to tailor the message to both technical and non-technical audiences.
- Proven ability to operate independently and manage multiple priorities without close supervision.
- Bachelor's degree in economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Hybrid role - On-site Tue-Wed-Thu
Preferred
- Experience owning a metric end to end, from instrumentation through pipeline to dashboard.
- Track record of presenting to senior stakeholders and influencing decisions with data.
- Experience supporting multiple business domains at once
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $210,000
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
This position is aligned with the Project. To view the associated benefit package, please reference this document USBenefitsJourneyProjectandCenterTAM
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From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices - Deloitte US Careers
See All 369+ Data Analyst Jobs in San Jose
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Find Data Analyst JobsData Analyst Job Market in San Jose
Who's Hiring
- TikTok78

- ByteDance58

- Mercedes-Benz39

- eBay19

- Cisco19

Top Industries Hiring
- Technology & Software
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 Mercedes-Benz, based on current listings on Migrate Mate as of November 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 45% of data analyst openings tied to San Jose are remote or hybrid as of November 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, per current listings on Migrate Mate as of November 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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