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Economic Data Analyst Jobs in California (NOW HIRING)

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

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.

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Give leadership a clear, current picture of unit economics by channel, cohort, and customer segment.

Data Analyst

San Francisco, CA · On-site

$140 - $180/hr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Give leadership a clear, current picture of unit economics by channel, cohort, and customer segment.

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not ... Give leadership a clear, current picture of unit economics by channel, cohort, and customer segment.

Sr Data Analyst

Santa Monica, CA · On-site

$96K - $121K/yr

Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Data Analytics, or a related field * 5+ years of experience in data analytics, including 2+ years at a senior level

Senior Data Analyst

Berkeley, CA · On-site

$95 - $130/hr

The Senior Data Analyst will be responsible for: helping research affiliates and other staff write and troubleshoot code to accomplish research tasks; using data science, econometric, and machine ...

New

As a data analyst, you will be responsible for compiling actionable insights from data and ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Mid Level Data Analyst

Montebello, CA · On-site

$75 - $95/hr

... Mathematics, Economics, Computer Science, Information Management, Statistics or Accounting * 3-5 years of working experience as a Data Analyst or Business Data Analyst * Strong knowledge and ...

Master's degree in Data Science, Statistics, Computer Science, Economics, or related field. * 4+ years of experience in Payments, Risk, FinTech, or Marketplace Analytics. * Advanced SQL expertise ...

Data Analyst Senior

Sacramento, CA · On-site +1

$107K - $155K/yr

Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view ...

Bachelor's degree in Supply Chain Management, Engineering, Industrial Engineering, Operations Research, Business Analytics, Data Science, Economics, Statistics, or related field. * 8+ years of ...

Showing results 21-40

Economic Data Analyst information

See California salary details

$30.6K

$72.3K

$128.3K

How much do economic data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for economic data analyst in California is $72,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $85,900.00 per year, depending on experience, location, and employer.

What does an economic data analyst do?

An Economic Data Analyst collects, processes, and interprets economic data to help organizations make informed decisions. They analyze trends, create reports, and use statistical tools to assess economic conditions. Their work supports policymakers, businesses, and researchers in understanding market dynamics and financial risks. Proficiency in data analysis software, economics, and statistical methods is essential for this role.

What are some typical projects or daily responsibilities for an economic data analyst?

As an Economic Data Analyst, your typical day might involve gathering and cleaning economic data, conducting statistical analyses, creating visual reports, and presenting your findings to stakeholders. You'll often work with large datasets, identify trends or anomalies, and help interpret how economic conditions impact the business. Collaboration with economists, policy experts, or business managers is common, especially when developing forecasts or providing input for strategic decisions. This variety of tasks provides valuable experience and opportunities for skill development while contributing meaningful insights to your organization.

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

To thrive as an Economic Data Analyst, you need strong analytical abilities, a background in economics or statistics, and proficiency with quantitative research methods. Familiarity with data analysis software such as Excel, R, SAS, Python, and visualization tools like Tableau or Power BI is typically expected. Critical thinking, attention to detail, and effective communication skills help analysts interpret findings and explain insights to non-technical audiences. These skills and qualities ensure accurate data interpretation, valuable business recommendations, and successful collaboration across teams.

What are the most commonly searched types of Economic Data Analyst jobs in California?

The most popular types of Economic Data Analyst jobs in California are:

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

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

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

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

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

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

Infographic showing various Economic Data Analyst job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $72,302 per year, or $34.8 per hour.

$85K - $105K/yr

Full-time

Re-posted 15 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.