Anthropic03.02.26
AI SCORE 8.5

Data Analytics & Engineering Lead - Remote Opportunity

$146K–$185K/year

About the Role

Join Anthropic as a Data Analytics & Engineering Lead in a remote capacity. This role is pivotal in shaping our data-driven culture, focusing on recruiting analytics. You will build the technical foundation that powers insights about hiring, engagement, performance, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce.

What You'll Do

  • Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports traditional BI tools (like Looker) and enables AI-driven insights across the company.
  • Design scalable data architectures and build dimensional models that transform raw recruiting data into trusted, reusable datasets for self-serve analytics while maintaining performance.
  • Analyze complex datasets to identify trends, patterns, and opportunities across the employee lifecycle.
  • Create and maintain interactive dashboards and visualizations that help communicate complex data insights to key stakeholders.
  • Collaborate with stakeholders to define and scope people analytics projects that align with organizational goals.

Requirements

  • 5+ years in data engineering or analytics engineering, preferably with experience in recruiting analytics.
  • Expertise in BigQuery including optimization, partitioning, and performance tuning.
  • Proficient in SQL, Python, and modern tools like dbt and Fivetran.
  • Experience with data visualization tools (Tableau, Looker, Power BI).
  • Excellent communication skills to translate complex analytical findings into actionable business insights.

Nice to Have

  • Advanced degree in Statistics, Data Science, or related quantitative field.
  • Familiarity with ATS platforms (Greenhouse, Lever) and their data structures.
  • Experience building data pipelines for survey data and text analytics.

What We Offer

  • Annual salary range of $145,600—$185,000 USD.
  • Location-based hybrid policy with flexible working hours.
  • Visa sponsorship available.
  • Generous vacation and parental leave.
  • Opportunity to work with a passionate team focused on AI safety.
Why This Job8.5 of 10

This Data Analytics & Engineering Lead role at Anthropic offers a unique opportunity to shape AI safety through data-driven insights, with a competitive salary and remote flexibility.

Salary Range
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Bonus
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About Anthropic

Explore Anthropic careers in 2026 and discover exciting job opportunities across remote, hybrid, and office roles. Our platform offers advanced filters to refine your search, application tracking to streamline your process, and valuable company insights to help you succeed. Stay ahead in your job search for Anthropic positions and unlock your potential in the innovative tech landscape.

Industry
Tech
Location
Remote

Who Will Succeed Here

Proficient in BigQuery and SQL with a strong ability to optimize complex queries for large datasets, enabling efficient data retrieval and analysis.

Self-motivated with a proactive approach to problem-solving, particularly in a remote work environment, where independent work and effective time management are essential.

Experience in using dbt for data transformation and modeling, coupled with a mindset geared towards leveraging AI tools to enhance predictive analytics in recruitment and workforce planning.

Learning Resources

BigQuery Documentationguide

Career Path

Data Analyst(Now)Data Engineering Manager(1-2 years)Director of Data Analytics(3-5 years)

Market Overview

Market Size 2024
$24.5B
Annual Growth
22.3%
AI Adoption
65%
Investment
+150%
Labour Demand
+30%
Avg Salary
$120K

Skills & Requirements

Required
BigQuerySQLPython
Growing in Demand
Apache AirflowData WarehousingMachine Learning
Declining
HadoopExcel VBA

Domain Trends

Increased Cloud Data Adoption
More than 70% of enterprises are moving their data to cloud platforms, with BigQuery being a leading choice for scalable analytics.
Rise of Real-Time Analytics
The demand for real-time data processing is increasing, with 60% of organizations prioritizing real-time analytics capabilities.
Integration of AI in Data Analytics
Over 50% of data professionals are using AI tools to enhance data insights, leading to a 40% increase in efficiency in data analysis.

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