Data Analyst, Economic Consulting (US)

Cornerstone Research; United States; Hybrid; USD 70,000 - 90,000; Full time

Job summary

Cornerstone Research is seeking a Data Analyst in the United States to join case teams supporting complex litigation, regulatory investigations, and financial disputes. You will build and clean large datasets, run econometric analyses, and deliver reproducible data outputs from ingestion to final deliverable.

The role emphasizes SQL, Python or R, Bash/CLI/Git, and collaboration in a hybrid office setting with training from our Data Science Center.

Qualifications

• BA/BS or MA/MS in a quantitative field; strong academic performance expected.
• 1-3 years of relevant work experience with data analysis, econometrics or programming.
• Strong ability to manipulate structured datasets, identify data quality issues, and produce clean outputs.
• Working knowledge of SQL for data extraction and analysis; experience with relational databases.
• Proficiency in Python or R; understanding of statistics in business contexts.
• Effective written and verbal communication; ability to work collaboratively in a team.
• Experience with large datasets (terabytes, not gigabytes).
• Comfort with Bash/CLI/Git; high attention to detail and accuracy.

Responsibilities

• Execute exploratory and econometric analyses on case data to accelerate time-to-insight.
• Own end-to-end data workflows: ingestion, cleaning, transformation, validation of large datasets.
• Build, document, and maintain data infrastructure and pipelines for reproducibility.
• Translate case strategy into structured, well-documented data outputs with independent judgment.
• Uphold coding standards and reproducibility across the case lifecycle; act as technical reference on data decisions.
• Lead escalation and resolution when technical issues arise.

Skills

Strong analytical skills

SQL

Python

R

Bash/CLI/Git

Statistical concepts

Communication skills

Team collaboration

Large datasets handling

Education

BA/BS or MA/MS in a quantitative field

Tools

SQL

Python

R

Bash/CLI/Git

Job description

Responsibilities

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