6d ago
$218K – $240K • Offers Equity/yr

Sr. Analytics Engineer/ Data Scientist

United StatesUnited States·San Franciscofull-timesenior
Data EngineerData
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Quick Summary

Key Responsibilities

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Experience: 3+ years of professional experience as a Data Scientist.

Requirements Summary

Unfortunately we are unable to provide Visa Sponsorship at this time. Why join Laurel: To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos,

Technical Tools
Data EngineerData

Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform.

Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you.

About the Role

~1 min read

As a Senior Analytics Engineer/Data Scientist at Laurel, you’ll turn product and business data into clear, trustworthy insights leaders can act on. You’ll own the analytics lifecycle—from ingestion and modeling to BI visualization and decision enablement. You’ll deliver self-serve insights using SQL/Python and embedded BI (e.g., ThoughtSpot). You will also help define the design patterns and data infrastructure to scale.

We’re especially interested in candidates who thrive in early-stage environments and pair analytical rigor with clear storytelling. You’ll partner closely with our CX team to quantify and communicate Laurel’s ROI, and you’ll join customer-facing presentations. You will be able to translate complex methods for non-technical leaders while going deep with technical stakeholders when needed.

Responsibilities

~1 min read
  1. →
  • Run recurring ROI analyses (Business Impact Reports). Write performant SQL and pandas; productionize repeatable jobs (scheduling, alerts, anomaly checks) with orchestration (e.g., Airflow).

    • Own metric definitions (e.g., True Time vs. Released), create reusable SQL Data Models that serve as the analytics source of truth.

    • Quantify and communicate Laurel’s impact, prepare exec-ready materials, and join customer-facing presentations—translating for both non-technical and technical stakeholders.

    • Deliver customer-facing ThoughtSpot dashboards and turn findings into concise actionable insights

    • Add validation tests and monitoring, triage data issues quickly, and collaborate with Product/Engineering to improve data quality.

    • Design, build, and maintain Laurel’s Analytics Data Warehouse as the single source of truth for analytics and reporting needs.

    • Create scalable ETL pipelines to ingest, process, and organize data from diverse sources (PMS, Web Analytics, WebApp).

    • Deploy and maintain Business Intelligence tools to provide analytics and reporting capabilities.

    Nice to Have

    ~1 min read
    • Experience with knowledge worker productivity tools

    • Familiarity with modern data visualization libraries (e.g., D3.js)

    • ML and AI: Prototype, build and test ML models to quickly validate hypotheses and generate insights that guide Laurel product features

    • Location: This role will be hybrid based in our San Francisco office, 3 days per week. We will consider exceptionally qualified candidates based in other US-locations on a case by case basis.

    • Compensation: Competitive salary, generous equity, comprehensive medical/dental/vision coverage with covered premiums, 401(k), additional benefits including wellness/commuter/FSA stipends. For candidates based in San Francisco the compensation range for this role is $205,000-$249,000 USD. Final compensation amounts will be determined based on several factors including candidate experience, qualifications and expertise and may vary from the amounts listed.

    • Visa Sponsorship: Unfortunately we are unable to provide Visa Sponsorship at this time.

    What We Offer

    ~2 min read
    ✓To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian
    ✓A smart, fun, collaborative, and inclusive team
    ✓Great employee benefits, including equity and 401K
    ✓Bi-annual, in-person company off-sites, in unique locations, to grow and share time with the team
    ✓An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time

    Location & Eligibility

    Where is the job
    San Francisco, United States
    Hybrid, some on-site time required
    Who can apply
    US

    About this job

    Pay per year
    $218,000–$240,000 a year
    43% above the $160,000 median for Data Engineer jobs on Jobera (675 salaries).
    Who can apply
    United States
    Posted
    6 days ago
    Employer
    has 13 open jobs on Jobera in 2 countries.

    Listing Details

    Posted
    October 26, 2026
    First seen
    October 26, 2026
    Last seen
    November 1, 2026

    Posting Health

    Days active
    5
    Repost count
    0
    Trust Level
    48%
    Scored at
    November 1, 2026

    Signal breakdown

    freshnesssource trustcontent trustemployer trust
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    Sr. Analytics Engineer/ Data Scientist$218K – $240K • Offers Equity