1

Data Analyst Tech Jobs in California (NOW HIRING)

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking a Data Analyst to join our team. In this role, you will work ...

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Data Analyst Position Description Date Issued: June 2026 Department: Finance Reports to: VP of ... Technology: We dare to innovate and are not afraid to fail. Our unique, stable inverter-based ...

Why is the Technology team important to Beachbody? Beachbody's technology team is leading the way ... Analyze data to determine requirements for a migration and updating of user data from one set of ...

SAP Data Analyst Location: Santa Clara, CA(Hybrid) * Design, develop, and deliver end-to-end ... Trinus Corporation, a leading provider of technology solutions and services with over 25 years of ...

Data Analyst

Irvine, CA · On-site

$70 - $100/hr

Orbee provides digital marketing analytics, data, and automation solutions to the automotive ... Orbee's core technology products include its proprietary data collection, processing, and reporting ...

Data Analyst

San Ramon, CA · On-site

$85 - $110/hr

Develop and implement data analyses, data collection systems and other strategies that optimize ... Technology or a related field plus five (5) years of experience in a related occupation. Position ...

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

As pioneers at the intersection of AI and open-source technology, we believe in an open future ... The Role We're seeking our first data analytics hire to establish and own the data foundation for ...

Data Analyst

San Jose, CA · On-site

$134K - $176K/yr

Provide ad hoc reporting, data extracts, and analytical support while identifying opportunities to ... Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.

Data Analyst - IT

Santa Ana, CA · On-site

$93.60 - $127.46/hr

Data Analyst - IT Full Time Professional Santa Ana, CA, US 6 days ago Requisition ID: 2440 Salary Range: $93,600.00 To $127,462.00 Annually NOTE: Maximum range is provided as an example of the wage ...

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking a Data Analyst to evaluate customer behavior and provide insights that ...

Data Analyst

Foster City, CA · On-site

$60.41 - $67.13/hr

... technology. This organization is dedicated to creating a safer, more efficient future, and they are ... Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to ...

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced. Automating repetitious data processes ...

Data Analyst

San Jose, CA

$134K - $176K/yr

Provide ad hoc reporting, data extracts, and analytical support while identifying opportunities to ... Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions.

Data Analyst

San Jose, CA · On-site

$70K - $109K/yr

Provided essential analytics support for service sales, marketing, field services, and tech support ... Formed a data and analytics steering committee to establish data governance and standardize key ...

We provide these services in multiple computing environments and use technologies such as client ... of Data Analysis experience. 2) Should have very good experience on Data Profiling and Data ...

Data Analyst Job Category ... Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee ...

Showing results 21-40

Data Analyst Tech information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst tech jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst tech in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data analyst tech?

Data Analyst Techs are professionals who use technical tools and methods to collect, process, and interpret data to help organizations make informed decisions. They often work with large datasets, using programming languages like Python or SQL, and data visualization tools to uncover trends and insights. Their work supports business strategies, identifies opportunities for improvement, and helps solve complex problems. Data Analyst Techs typically collaborate with other teams to ensure data accuracy and relevance, and to communicate their findings effectively.

What are some common challenges data analyst techs face when working with large datasets?

Data Analyst Tech professionals often encounter challenges such as ensuring data quality, managing inconsistencies, and handling missing or incomplete information when working with large datasets. Additionally, optimizing data processing for speed and efficiency can be demanding, especially when using complex analytical tools. Collaborating closely with IT and engineering teams is crucial to address these challenges and maintain data integrity throughout all stages of analysis.

What are the key skills and qualifications needed to thrive as a data analyst tech, and why are they important?

To thrive as a Data Analyst Tech, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like computer science, mathematics, or information technology. Experience with data visualization tools (like Tableau or Power BI), SQL databases, and programming languages such as Python or R is typically required, along with certifications like Microsoft Certified Data Analyst Associate. Exceptional attention to detail, critical thinking, and effective communication are highly valued soft skills for interpreting data and sharing insights. Mastery of these skills ensures accurate data-driven decision-making and clear communication of findings to stakeholders.

What does a data analyst do in tech?

A data analyst in tech collects, processes, and analyzes large datasets to identify trends, generate reports, and support decision-making. They often use tools like Excel, SQL, and data visualization software, and require strong analytical skills and attention to detail.

What cities in California are hiring for Data Analyst Tech jobs?

Cities in California with the most Data Analyst Tech job openings:

Infographic showing various Data Analyst Tech job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

$85K - $105K/yr

Full-time

Re-posted 18 days ago


Job description

Data Analyst
Position Description
Date Issued:
June 2026
Department:
Finance
Reports to:
VP of Finance
Location:
Van Nuys, CA
Position Purpose:
We are seeking a highly analytical and detail-oriented Data Analyst to support data-driven decision-making across the organization. This role will be responsible for transforming raw data into actionable insights, developing dashboards and reports, and partnering cross-functionally to improve operational and financial performance. The ideal candidate combines strong technical skills with business acumen and the ability to clearly communicate findings to senior leadership. This is an on-site role.
DESTINATION STATEMENT Who we strive to be:
Who We Strive to Be: We will be the first choice when energy matters. Our bespoke solutions solve the energy trilemma of resiliency, sustainability, and affordability. We push boundaries, challenge norms, and drive change. We’re committed to making the impossible possible in the energy sector.
Safety: Our commitment to safety and security is uncompromised. At the end of each day, we are only successful when all associates can return home to their families in good wellness. Safety and security is at the heart of our advanced engineering that allows us to design, build and operate our units to do no harm.
Technology: We dare to innovate and are not afraid to fail. Our unique, stable inverter-based technology is at the forefront of the industry creating a seamless integration with our customers’ energy systems. We are a high precision power technology company.
Our Team: An intense zeal for excellence drives us. We are a collaborative team focused on building trust and engaging in healthy conflict to solve difficult problems quickly. Our sense of urgency ensures we meet both our own high standards and the evolving needs of our customers.
KEY RESPONSIBILITIES
Data Analysis amp; Reporting
  • Collect, validate, and analyze large datasets from multiple sources including ERP, CRM, and operational systems.
  • Develop dashboards and recurring reports using BI tools (e.g., Power BI, Tableau, Looker) to support Finance and cross-functional leadership.
  • Build and maintain queries and data models to support reporting accuracy, consistency, and scalability.
Insights amp; Decision Support
  • Identify trends, anomalies, and performance drivers; translate findings into clear, actionable recommendations for senior leadership.
  • Partner with Finance, Operations, Sales, and Executive Leadership to define KPIs, metrics, and reporting frameworks.
  • Support forecasting and scenario modeling through advanced analytics to inform strategic and operational decisions.
Process Improvement amp; Data Governance
  • Automate manual reporting processes to improve efficiency, reduce error risk, and free capacity for higher-value analysis.
  • Ensure data integrity, governance, and documentation standards are maintained across all reporting outputs.
QUALIFICATIONS
Education amp; Experience
  • Bachelor’s degree in Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field.
  • 1–3 years of experience in data analytics, business intelligence, or a related role.
  • Demonstrated ability to translate complex data into clear, concise insights for non-technical stakeholders.
Skills amp; Abilities — Required
  • Advanced proficiency in Microsoft Excel required.
  • Experience with BI tools (Power BI, Tableau, or equivalent); ability to build and maintain production-ready dashboards.
  • Strong communication skills with the ability to present findings and recommendations to Finance leadership and cross-functional teams.
  • Analytical rigor and meticulous attention to detail; strong problem-solving capability.
  • Ability to manage multiple priorities simultaneously in a fast-paced environment.
  • Intellectual curiosity and a continuous process improvement mindset.
Skills amp; Abilities — Preferred
  • Experience working with ERP systems (NetSuite, SAP, Oracle, or similar) is a strong plus.
  • Familiarity with SQL or scripting languages (Python, R) for data extraction and transformation.
  • Background in a manufacturing, energy, or operationally complex environment.
WHAT SUCCESS LOOKS LIKE
  • Finance and operating leadership have reliable, trusted dashboards that reduce ad hoc reporting requests and accelerate decision-making.
  • Manual reporting processes have been identified, documented, and systematically automated — reducing cycle time and human error.
  • KPIs and performance metrics are clearly defined, consistently measured, and actively used across Finance, Operations, and Sales.
  • Data integrity and governance standards are in place and maintained, with documentation that supports audit and scalability.
  • The Data Analyst is recognized as a key analytical partner to the VP of Finance and broader leadership team.
WORK ENVIRONMENT
  • On-site at Capstone’s Van Nuys, CA headquarters; regular in-office presence required.
  • Collaborative, cross-functional environment with direct exposure to Finance, Operations, Sales, and Executive leadership.
  • Extended periods of sitting and computer use are typical for this role.
  • Willingness to work beyond a standard 40-hour workweek as driven by reporting cycles, close periods, or business needs.