Diversity Lab leverages data and behavioral science to build talent systems that cultivate inclusive workplaces in the legal profession. We level the playing field—through structure, accountability, and transparency—so everyone can thrive and advance into leadership. Our north star is fairness.

Since 2014, Diversity Lab has built, piloted, and measured the impact of experiments and innovations that cultivate inclusive and diverse cultures in law and beyond. Ideas are created through hackathons and piloted in collaboration with 500+ top law firms and corporations. We measure the results and share the lessons learned. And our methods are working—the data proves it.

Visit our website to discover more about our innovative projects.

Diversity Lab is seeking a Data Analyst to help us derive useful, practical, and actionable insights from our talent data through business intelligence reporting and data visualization, including the creation of user-friendly, interactive Tableau dashboards.

This role is not primarily an ETL or data engineering position; it is focused on dashboard development, analytics, and insight delivery. If you have experience in analytics and are passionate about extracting meaningful information from data, we would love to discuss this opportunity with you.

Applicants must be legally authorized to work in the United States without requiring employer sponsorship now or in the future. Diversity Lab is an equal opportunity employer.

The Skills Needed to Be Effective in This Role

We don’t expect one human to embody all these skills. But if you have some of these key skills and are willing to learn, we encourage you to apply. This individual will work closely with the Senior Director of Analytics, the Data Analytics Engineer, and other members of the team to perform end-to-end analyses with an emphasis on business intelligence reporting and visualization, from gathering necessary information, to cleaning and organizing data, to creating, summarizing, and interpreting output, and presenting insights through Tableau dashboards as needed for Diversity Lab’s data-driven programs and initiatives.

This role will be primarily technical in nature, requiring the use of tools such as Tableau (Desktop and Cloud), R, and BigQuery as appropriate for each project.

The position requires interaction with our team, external experts, and other stakeholders, so strong interpersonal and communication skills – including a positive, problem-solving approach and attitude – are incredibly important.

Responsibilities:

Develop new dashboards and enhance existing dashboards using Tableau Desktop and Tableau Cloud, with a focus on clarity, usability, and stakeholder-ready storytelling

Partner with internal stakeholders to understand reporting needs and translate questions into interactive dashboard requirements (metrics, filters, drill-downs, and definitions)

Perform analysis to assess the quality and meaning of various talent data, including but not limited to survey responses and employment data

Use analytical tools to identify patterns and trends, producing reports and other outputs as needed

Generate code (using R or other similar tools) to support recurring analyses and dashboard-ready outputs, automating processes where possible

Document dashboard metrics and definitions to ensure consistency and transparency across stakeholders.

Follow team protocols and best practices to ensure the accuracy, integrity, and security of Diversity Lab and its clients’ data

Collaborate with other data analysts

A knowledge of statistical methodologies like regression analysis and other predictive modeling is a benefit

Use technical skills and capabilities to support additional Diversity Lab needs, as applicable

Perform other job-related duties and special projects at the specialist level as required

Skills:

Analytical thinking skills, including the ability to communicate analytic thoughts clearly and concisely to non-technical audiences through data visualizations, written summaries, and verbal communication

Strong data visualization judgment (layout, accessibility, labeling, and choosing the right chart for the message)

Problem-solving skills, including the ability to creatively handle challenges as they arise

Project management skills, including excellent attention to detail and timeline management

Excellent client relationship skills, including responsiveness and a willingness to help solve problems in a friendly, diplomatic, and efficient manner

High EQ; ability to interact effectively with team members and external partners; self-awareness and sensitivity to communications and team relationships

Embody a learning mindset; maintain curiosity and interest in continuing to learn about relevant issues, sharing knowledge with teammates, and growing professionally

Willingness to listen to and learn from feedback, offer feedback to others as appropriate, learn from mistakes, and find ways to problem-solve challenging issues

Ability to be flexible and adapt to new and rapidly changing situations and environments; comfortable with constant change and iterative processes

Self-motivation; ability to take initiative with minimal assistance and to manage time efficiently

Ability to stay composed and focused under pressure and hard deadlines

Qualifications:

BS in a quantitative field, such as mathematics, statistics, computer science, or finance, or supplemental data analytics training/education in a related field

Experience in the legal profession with talent development and diversity is beneficial

Knowledge of and experience with data security protocols and technology to safeguard sensitive and confidential information

Proficiency with various technical/analytical tools, especially Tableau (or similar visualization tools), plus R, Python, or BigQuery, and Qualtrics or other survey tools

Comfort with learning and using many forms of technology; proficiency with Google Suite (Docs, Sheets, Forms), Word, Excel, Zoom, and other virtual meeting platforms, and Google Slides/Microsoft PowerPoint and other tools, with the ability to learn new software quickly

Location Details

The job format is full-time remote work; reliable internet and phone service are required.

Applicants will be considered regardless of their location within the United States; however, the following locations, where other teammates are based, are preferred: Boston, Dallas, Denver, New York City, New Jersey, San Francisco Bay Area, Los Angeles Area, DC/Baltimore, or Miami. You will be asked to travel within the US, approximately 4-6 times per year.