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Entry Level Economic Data Analyst Jobs in California

... economic mobility. The Role The Data Analyst is a core member of JVS's Evaluation and Impact team ... responsible for transforming program data into clear, credible, and actionable evidence. This role ...

Data Analyst

Van Nuys, CA · On-site

$85K - $105K/yr

Bachelor's degree in Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field or equivalent experience * At least 3 years of experience in data analytics * Advanced ...

Strong background in quantitative analysis (e.g., statistics, finance, mathematics or economics) * Ability to aggregate, standardize, interpret and model data, and to work independently within a ...

By means of data visualization, statistical analysis, and reporting, you will directly engage ... Work experience in a quantitative field like mathematics, statistics, computer science, economics ...

Data Analyst

Long Beach, CA · On-site

$90K/yr

Master's or PhD in Statistics, Economics, Marketing, Business, or another quantitative field ... data platforms. * Experience workingwithprice elasticity modeling, competitive pricing analysis, or ...

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

Required : • Bachelor's Degree in Business, Economics, Engineering, Statistics, Data or ... using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS ...

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.

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 ...

Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ... Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields ...

Excellent compensation As a Data Analyst, you will drive innovation, growth, and contribute to the ... Bachelor's Degree in Computer Science, math, economics, statistics, or other quantitative fields ...

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline * 2+ years of experience in analytics, business intelligence, data science ...

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or another quantitative discipline * 2+ years of experience in analytics, business intelligence, data science ...

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Entry Level Economic Data Analyst information

What is the difference between Entry Level Economic Data Analyst vs Entry Level Data Analyst?

AspectEntry Level Economic Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's in Economics, Statistics, or related field; some roles prefer internshipsBachelor's in Data Science, Statistics, or related field; internships beneficial
Work EnvironmentFinancial institutions, government agencies, consulting firmsTech companies, finance, healthcare, consulting
Employer & Industry UsageUsed in economic research, policy analysis, market forecastingApplied in business analytics, product development, market research

Entry Level Economic Data Analysts focus on economic data, policy, and market trends, often working in government or financial sectors. Entry Level Data Analysts have a broader scope, working across various industries with diverse datasets. While both roles require similar educational backgrounds, their industry focus and typical tasks differ, making this comparison useful for those exploring career options in data analysis.

What does an entry level economic data analyst do?

An Entry Level Economic Data Analyst collects, processes, and analyzes economic data to help organizations understand market trends and make informed decisions. They use statistical tools and software to interpret data, create reports, and visualize findings. Their work often supports economists and senior analysts in researching topics such as employment, inflation, and GDP. Typical tasks include data cleaning, running basic analyses, and preparing presentations or summaries for internal or external stakeholders.

What are the key skills and qualifications needed to thrive as an entry level economic data analyst?

To thrive as an Entry Level Economic Data Analyst, you need a solid background in economics, statistics, and data analysis, often supported by a bachelor’s degree in economics, finance, or a related field. Familiarity with data analysis tools such as Excel, SQL, R, or Python, as well as experience with data visualization platforms like Tableau, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret and present complex data findings clearly. These skills are crucial for generating accurate insights and supporting sound decision-making within organizations.

What types of projects or analyses can an entry level economic data analyst expect to work on in their first year?

As an entry level economic data analyst, you can expect to work on a variety of projects that involve cleaning, organizing, and interpreting economic datasets. Typical tasks include supporting senior analysts with data collection, preparing reports on economic trends, and performing basic statistical analysis using software like Excel or R. You'll often collaborate with economists, policy analysts, and other team members to ensure data accuracy and contribute insights for decision-making. Over time, you'll gain exposure to more complex modeling and have the opportunity to present your findings to stakeholders, which can help you develop both technical and communication skills.
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 Entry Level Economic Data Analyst jobs in California? For Entry Level Economic Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Economic Data Analyst jobs in California look for? The top searched job categories for Entry Level Economic Data Analyst jobs in California are:
What cities in California are hiring for Entry Level Economic Data Analyst jobs? Cities in California with the most Entry Level Economic Data Analyst job openings:
Infographic showing various Entry Level Economic Data Analyst job openings in California as of July 2026, with employment types broken down into 4% Internship, 84% Full Time, 8% Part Time, and 4% Temporary. Highlights an 72% In-person, and 28% Remote job distribution.

Data Analyst, Economic Consulting (US)

Cornerstone Research

Menlo Park, CA • Hybrid

Full-time

Posted 2 days ago

New


Job description

Responsibilities

For US Applicants: Please submit your application through our online portal by our deadline: August 11, 2026 for consideration.

The Data Analyst Role

This role is open to candidates in Boston, New York, Washington, D.C., Chicago, LA, Silicon Valley, and San Francisco.

The Data Analyst plays a central role in delivering the rigorous analyses that underpin Cornerstone Research’s work in complex litigation, regulatory investigations, and financial disputes. You will work in case teams that range in size but typically include an academic or industry expert, senior consultants, and analysts. Within a case team, you will make important contributions during all phases of a project – from initial data ingestion through final deliverable.

Your work will span a wide range of analytical tasks, including building and cleaning large datasets, running quantitative models, and translating case team needs into structured, reproducible data outputs. The role demands precision and attention to detail, as the outputs you produce directly support expert testimony and client-facing work in high-stakes legal and regulatory proceedings. You will operate within a collaborative team environment and are expected to develop your understanding of the economic and legal context of the cases you support.

This is a hybrid role. Data Analysts are expected to work at least 50% in-office at their respective local office.

Workstreams & Tasks

• Execute exploratory and econometric analyses, investigating the analytical possibilities of case data and accelerating the case team’s time-to-insight on complex datasets

• Own end-to-end data workflows on cases, including ingestion, cleaning, transformation, and validation of large, complex datasets, collaborating with team members to ensure shared understanding of approach and scope

• Build, document, and maintain data infrastructure and pipelines that meet the firm's standards for reproducibility and defensibility

• Apply independent technical judgment to translate case strategy into structured, well-documented data outputs

• Uphold coding standards and reproducibility practices on data work across the case lifecycle, serving as the technical reference point for the case team on data infrastructure decisions

• Lead escalation and resolution when technical issues arise

Data Analyst Development

This is an early-career role designed to build deep technical capability and professional judgment, beginning with a comprehensive orientation and training program to introduce you to the firm.

Data Analysts are part of Cornerstone Research's industry-leading Data Science Center, which provides continuous learning and development programs covering sophisticated data analysis and engineering tools, as well as the soft skills needed to work effectively with case teams, clients, and experts.

Required

• BA/BS or MA/MS in a quantitative field, such as Computer Science, Data Science, Statistics, Mathematics, Operations Research, or a related discipline; strong academic performance expected

• 1-3 years of relevant work experience, including demonstrated ownership of projects involving data analysis, econometrics or statistical research, or programming, with the ability to execute data tasks accurately and efficiently

• Strong foundational analytical skills, including the ability to manipulate structured datasets, identify data quality issues, and produce clean, well-documented outputs

• Working knowledge of SQL for data extraction and analysis, and experience working with relational databases

• Proficiency in at least one analytical programming language (e.g., Python, R)

• Understanding of statistical concepts and their applications in business settings

• Effective written and verbal communication skills, with the ability to work collaboratively within a team structure

• Exposure to large or complex datasets (terabytes, not gigabytes)

• Comfort working with Bash/CLI/Git

• High attention to detail and a demonstrated commitment to accuracy in quantitative work

Preferred

• Familiarity with economic or financial concepts, through coursework or prior work experience

• Demonstrated ability to produce clean, well-documented, and reproducible analytical work

• Experience working with cloud data platforms (e.g., Redshift, S3, Databricks)

• Interest in business and economics

• Interest or familiarity in using AI coding tools

Application Requirements

• Resume

• Cover Letter (required when finalizing your application on the employer's career portal)

• Portfolio (optional, if applicable please upload under “Additional Documents” when finalizing your application on the employer's career portal)

Cornerstone Research will provide H-1B, H-1B1, E3 and TN visa support to full-time candidates that require visa support. Full-time candidates requiring visa support, must have a STEM-eligible degree and at least 36 months remaining of work authorization.

Cornerstone Research offers a market-leading compensation and benefits package. The base salary for the Data Analyst role is $122,500. In addition to the base salary, new Data Analysts will be eligible for a starting bonus. Data Analysts are also eligible for discretionary bonuses based on case performance, firm contributions, and other factors. Previous relevant work experience will be taken into consideration in determining compensation. Information about our benefits, including health and wellness and family support, can be found on the Careers page of our website.

About Cornerstone Research

Cornerstone Research provides economic and financial consulting and expert testimony in all phases of complex disputes and regulatory investigations. The firm works with an extensive network of prominent academics and industry practitioners to identify the best-qualified expert for each assignment. With a reputation for high quality and effectiveness, Cornerstone Research has consistently delivered rigorous, state-of-the-art analysis since 1989. The firm has more than 1,100 professionals in nine offices across the United States, UK, and EU.

Cornerstone Research is involved in a broad variety of high-profile projects. Current exemplary matters include claims of anticompetitive conduct, potential mergers and the impact on market competition, the impact of intellectual property infringement, allegations of misleading marketing or false claims, allegations of manipulation of financial markets, evaluation of fair merger prices, securities litigation, claims in consumer finance, anticompetitive conduct in financial markets, and corporate governance issues. We cover topics in a broad range of industries including consumer goods, life sciences, high technology, energy, telecommunications, industrial markets, banking, securities, fintech, private equity, insurance, and cryptocurrency.

More details on Cornerstone Research and what we do can be found on our website: www.cornerstone.com.

About Data Science Center

The Data Science Center (DSC) is the Cornerstone Research's center of excellence for advanced analytics, data infrastructure, and AI-enabled innovation. The DSC sits at the intersection of economics, data science, and litigation. We partner with consultants to build practical, AI-powered products that reshape how Cornerstone delivers. The DSC brings together deep domain expertise, direct access to real user problems, and strong distribution channels, creating the conditions for legal technology that lasts.

Cornerstone Research provides Equal Employment Opportunities to all employees and applicants for employment without regard to legally protected categories, such as age, sex, gender, gender identity, race, color, creed/religious belief, medical condition, predisposing genetic characteristics, or genetic information or testing, disability, marital status, pregnancy status, military status, veteran status, arrest or conviction record (except where permitted by law), sexual orientation, ethnic background, citizen status, ancestry, national origin, or any other consideration protected by federal, state or local law.