Everlaw

Data Analyst

Everlaw$120K — $172K *
Legal & Accounting
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, etc.)
  • Up to 4 years of experience in data analysis
  • Proficient with SQL for data wrangling
  • Experience with programming languages like Python, R, or Julia
  • Understanding of relational databases and data modeling
  • Strong foundation in statistical methods and probability theory
  • Excellent communication skills for non-technical audiences

Responsibilities

  • Familiarize yourself with technologies and workflows through training and certification
  • Transform large datasets into actionable metrics using SQL and Spark
  • Develop methods for insight mining from large unstructured datasets
  • Design precise metrics that drive business understanding
  • Build data context layers to support analytics workflows
  • Advise on scalable telemetry and analytics tracking for business teams

Benefits

  • Equity program
  • 401(k) retirement plan with company matching
  • Health, dental, and vision insurance
  • Flexible Spending Accounts for healthcare and dependent care
  • Paid parental leave and sick leave
  • Seventeen paid vacation days plus federal holidays
  • Mental health and wellness membership
  • Annual Learning & Development budget
  • Company-sponsored life and disability insurance
Full Job Description
Everlaw is looking for a Data Analyst who transforms raw data into the actionable insights our leadership needs to steer the company forward. Everlaw is at the forefront of legal technology, dealing with massive, complex datasets to help legal teams uncover the truth in high-stakes litigation. Data is absolutely critical in helping our company navigate complex use cases, sophisticated user workflows, and the operational challenges of a high-growth, AI native SaaS business.

You'll collaborate with Senior Data Scientists, Product Managers, GTM leadership, Software Engineers, and many other partners to dive into our data ecosystem and monitor product performance, track user engagement, and identify trends that inform our company's strategic roadmap. You will be responsible for ensuring our data remains a "source of truth" by maintaining rigorous quality standards and building intuitive dashboards that democratize information across the company. As a team, we highly value innate curiosity, an eye for detail, and a preference for solving problems collaboratively.

This is a full-time, exempt position located onsite (3 days/week in office) in Oakland, California.
Getting started
  • We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
  • We're excited for you to learn, grow, and contribute right away! We trust that you'll bring industry experience and knowledge that will uplift and uplevel the team, but we don't expect you to know everything on Day 1.
In your role, you'll...
  • Familiarize yourself with our technologies, workflows, and codebase through extensive training and product certification.
  • Transform large datasets into actionable metrics and attributes using SQL and Spark.
  • Explore and develop the right repeatable methods for mining insight from large unstructured datasets, leveraging a variety of tools spanning Jupyter notebooks, Looker, and Heap.
  • Design and surface metrics that are faithful and precise, while helping the business understand how to drive those metrics.
  • Build out the data context layer (schemas, metric definitions, institutional knowledge, etc.) to power agentic analytics workflows.
  • Advise business teams on how to implement scalable, robust telemetry and analytics tracking.
About you
  • A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related technical discipline.
  • Up to 4 years of experience (including internships) turning large datasets into actionable business insights.
  • Experience and proficiency wrangling data using SQL.
  • Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
  • Understanding of the fundamentals of relational databases and data modeling.
  • Strong foundation of statistical methods and probability theory.
  • Excellent communication and presentation skills, especially in translating technical information to non-technical audiences.
Pluses
  • Experience working with common open source analytics tools such as Airflow or DBT.
  • Experience working with distributed processing technologies such as Spark or MapReduce.
  • Experience applying machine learning or statistical modeling methods to real world problems.
  • Familiar with Git or a similar DVCS.
Benefits
  • The expected salary range for this role is between $120,000 - $172,000. The final offered salary will be dependent upon many factors including the candidate's experience and skills. The base pay range is subject to change in the future.
  • Equity program
  • 401(k) retirement plan with company matching
  • Health, dental, and vision
  • Flexible Spending Accounts for health and dependent care expenses
  • Paid parental leave and approximately 10 days (80 hours) per year of sick leave
  • Seventeen paid vacation days plus 11 federal holidays
  • Membership to Modern Health to help employees prioritize mental health and wellness
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues
  • Company-sponsored life and disability insurance
  • Find out more about our Benefits and Perks
Perks
  • Work in Downtown Oakland, just steps from the BART line and dozens of restaurants
  • You will get a powerful Linux laptop and be able to customize your desk setup
  • Bond over team lunches and out-of-the-box events
  • Ranked "#1 on G2 for Ediscovery Software and Momentum" and we offer free eDiscovery resources to benefit the greater societal good with Everlaw for Good
  • Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
  • Take advantage of learning and career development opportunities
  • Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
  • One of Wealthfront's 2021 Career Launching Companies, and ranked #2 on the "2022 Bay Area Best Places to Work" list by the San Francisco Business Times and the Silicon Valley Business Journal
  • One of Fast Company's World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through "Everlaw for Good"
  • #LI-EJ1
  • #LI-Hybrid


Pursue Truth While Finding Yours

At Everlaw, we are deeply invested in pursuing the truth, for our clients and for our employees. We know that when you're empowered to pursue your passions, it is reflected in the work. That's why we're committed to the professional growth of all our team members, offering an annual learning and development stipend and regular career check-ins with managers. If you're looking for a place that values passion, integrity, and a desire to learn, we'd love to hear from you!

About Everlaw

We help law firms, government agencies, and corporations sift through millions of documents of evidence in big lawsuits and investigations to find the proverbial smoking gun (or needle in the haystack -- pick your metaphor). It's a multi-billion dollar space typically dominated by service-oriented vendors, and we're coming at it with cutting-edge technology and elegant design. It's working, and we've been growing very rapidly: we host hundreds of terabytes of data and work with all 50 state Attorneys General and hundreds of law firms on some of the most high-profile cases litigated today.

About Everlaw

Everlaw is a legal technology company that provides cloud-based litigation software for law firms, corporate counsels, and government attorneys. The company's platform enables users to upload, review, and analyze large volumes of documents and data in a secure and collaborative environment. Everlaw's software includes features such as predictive coding, data visualization, and real-time collaboration tools. The company was founded in 2010 and is headquartered in Berkeley, California.
Learn more about Everlaw
Size
200 employees
Industry
Founded
2010

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