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Fidelity Data Analyst Jobs in California (NOW HIRING)

Waabi

Applied Scientist

San Francisco, CA · On-site +1

$128K - $184K/yr

... fidelity data. Qualifications - Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics). - BS/MS in a quantitative field ...

Waabi

Applied Scientist

San Francisco, CA · On-site +1

$128K - $184K/yr

... fidelity data. Qualifications: * Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics). * BS/MS in a quantitative field ...

Arable

Product Operations Manager

San Francisco, CA · On-site

We believe the heart of the solution is digitizing the analog world with high-fidelity data to help ... Strong ability to analyze complex datasets and translate findings into clear, professional insights.

Arable

Product Operations Manager

San Francisco, CA · On-site

We believe the heart of the solution is digitizing the analog world with high-fidelity data to help ... Strong ability to analyze complex datasets and translate findings into clear, professional insights.

Cypress HCM

Data Product Manager

San Jose, CA · On-site

$66.91/hr

... analysis based on business needs. * Collaborate with data owners to ensure reliable, accessible, high fidelity information within our tools, driving requirements through a focus on stakeholder needs.

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All JobsFidelity Data Analyst JobsFidelity Data Analyst Jobs in California

Fidelity Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do fidelity data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for fidelity data analyst 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 Fidelity Data Analyst?

A Fidelity Data Analyst is responsible for analyzing and interpreting data to support business decisions within Fidelity Investments. They work with large datasets to identify trends, generate reports, and provide insights that drive strategic initiatives. These analysts collaborate with various teams to improve operational efficiency, customer experience, and investment strategies. Strong analytical skills, proficiency in tools like SQL, Python, or Excel, and an understanding of financial data are often required for this role.

What are the typical daily responsibilities of a Fidelity Data Analyst?

As a Fidelity Data Analyst, your daily tasks often include collecting, cleaning, and interpreting financial and operational data to support business insights and decision-making. You may develop and maintain dashboards, generate reports for internal stakeholders, and collaborate closely with investment teams, IT, and business units to understand data needs or resolve data discrepancies. Additionally, you will often be involved in monitoring data quality, spotting analytical trends, and supporting larger projects such as model development or process improvement initiatives. The work environment is typically collaborative and fast-paced, offering steady opportunities to expand your analytical and technical skills.

What are the key skills and qualifications needed to thrive as a Fidelity Data Analyst?

To excel as a Fidelity Data Analyst, you typically need a strong foundation in data analysis, statistical methods, and financial concepts, usually backed by a degree in a quantitative field such as mathematics, finance, or computer science. Familiarity with tools like SQL, Python, Excel, and business intelligence platforms is important, and certifications such as CFA or data analytics credentials can add value. Outstanding attention to detail, communication skills, and the ability to work collaboratively are valuable soft skills that help you succeed. These competencies are critical for accurately analyzing data trends, supporting investment decisions, and ensuring data-driven insights for the organization.

What is the salary of data analyst in Fidelity?

The salary of a Fidelity Data Analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and specific role responsibilities. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Compensation often includes benefits such as bonuses and health insurance.

What are popular job titles related to Fidelity Data Analyst jobs in California?

For Fidelity Data Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Fidelity Data Analyst jobs in California look for?

The top searched job categories for Fidelity Data Analyst jobs in California are:

Fidelity Data Analyst jobs near you
Infographic showing various Fidelity Data Analyst 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.

Applied Scientist

Waabi

San Francisco, CA • On-site, Remote

$128K - $184K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 26 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
 
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

At Waabi, we are building the next generation of autonomous driving technology, leveraging a revolutionary approach to Physical AI. Central to our success is the ability to monitor and report on the performance of our software, platform, and fleet with rigor and reliability.


We are looking for a hands-on Applied Data Scientist to help drive a unified view of our multi-faceted evaluation methodology. This is a highly collaborative, cross-functional role that sits at the intersection of Evaluation, Systems & Safety, and the Autonomy teams. You will work alongside experts across these teams to deliver a comprehensive, cross-modal analysis of our autonomy system that translates directly into actionable insights for the entire organization.
 

You will...

- Collaborate with cross-functional teams to provide comprehensive analysis on autonomy system performance across Waabi World (Simulation), Track, and Public Road testing.

- Develop and maintain sophisticated, cross-modal dashboards that provide a unified and trustworthy view of the performance of our systems, tracking progress toward critical company milestones.

- Partner with Data Platform and Evaluation teams to shape the evolution of eval tooling and pipelines, ensuring our infrastructure remains scalable, automated, and capable of validating complex system requirements across all testing modalities.

- Act as a key partner to Safety and Autonomy teams, ensuring that our automated reporting faithfully captures the technical intent and requirements of our system KPIs.

- Proactively monitor and investigate anomalies in metrics to ensure stakeholders are making decisions based on reliable, high-fidelity data.

Qualifications

- Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics).

- BS/MS in a quantitative field such as Computer Science, Engineering, Statistics, Physics, or similar.

- Strong command of SQL, and familiarity with Python for data manipulation and prototyping.

- Experience building clear, automated dashboards using modern BI tools or custom frameworks.

- Experience working with internal cross-functional partners/stakeholders 

- Open-minded and collaborative team player with willingness to help others

- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:

- Experience in the Autonomous Vehicle or Robotics industry.

- Experience with large scale databases and analytics 

- Practical understanding of statistical concepts (e.g., hypothesis testing, significance) as applied to real-world performance measurement

The US yearly salary range for this role is: $128,000 - $184,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve! 
 
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
 
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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