Data Analyst

Menlo Ventures

Oakland (CA)

Hybrid

USD 120,000 - 172,000

Full time

14 days+

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Benefits offered by this job

Equity program
401(k) with company matching
Health, dental, and vision insurance
Paid parental leave
Flexible Spending Accounts

Job summary

Menlo Ventures is looking for a Data Analyst to extract insights from data. This full-time position is based in Oakland, California, under a hybrid work model of three days onsite.

The selected candidate will be expected to transform datasets using SQL and Spark, develop metrics, and guide business teams on analytics. Candidates should have a Bachelor’s degree in quantitative fields and up to 4 years of relevant experience.

Benefits include a competitive salary, equity, health insurance, and generous paid leave.

Qualifications

  • Up to 4 years of experience turning large datasets into actionable insights.
  • Experience in applying scientific programming languages to data analysis.
  • Strong foundation in statistics and probability theory.

Responsibilities

  • Transform large datasets into actionable metrics using SQL and Spark.
  • Design metrics to help the business understand performance.
  • Advise business teams on scalable telemetry and analytics tracking.

Skills

Data wrangling using SQL
Statistical analysis
Python
Data modeling
Machine learning

Education

Bachelor's degree in a quantitative field

Tools

SQL
Spark
Jupyter notebooks
Looker
Git

Job description

Everlaw is seeking a Data Analyst to transform raw data into actionable insights. This full‑time, exempt position is located onsite in Oakland, California, with a hybrid schedule of three days per week in the office.

Responsibilities
  • 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 repeatable methods for mining insight from large unstructured datasets, leveraging tools such as Jupyter notebooks, Looker, and Heap.
  • Design and surface metrics that are faithful and precise, 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 implementing scalable, robust telemetry and analytics tracking.
Qualifications
  • 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 in wrangling data using SQL.
  • Experience and proficiency in applying scientific programming languages (Python, R, Julia, etc.) to data analysis problems.
  • Understanding of 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.
  • Preferred: Experience working with open‑source analytics tools such as Airflow or DBT.
  • Preferred: Experience working with distributed processing technologies such as Spark or MapReduce.
  • Preferred: Experience applying machine learning or statistical modeling methods to real‑world problems.
  • Familiar with Git or a similar DVCS.
Benefits
  • Salary range $120,000 – $172,000 (base pay subject to change).
  • Equity program.
  • 401(k) retirement plan with company matching.
  • Health, dental, and vision insurance.
  • Flexible Spending Accounts for health and dependent care expenses.
  • Paid parental leave and approximately 80 hours (10 days) of sick leave per year.
  • 17 paid vacation days plus 11 federal holidays.
  • Membership to Modern Health for mental health and wellness.
  • Annual allocation for Learning & Development opportunities and applicable professional membership dues.
  • Company‑sponsored life and disability insurance.

Everlaw is an equal‑opportunity employer. Everlaw prides itself on a diverse workforce and does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender and gender identity of our applicants and employees and honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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