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Laurel is seeking a Senior Analytics Engineer/Data Scientist to transform product and business data into actionable insights. This role involves owning the analytics lifecycle, from data ingestion and modeling to BI visualization and decision enablement. You will use SQL/Python and BI tools like ThoughtSpot to deliver self-serve insights, define data infrastructure, and partner with the CX team to quantify ROI. The position also requires applying machine learning to product and business problems, prototyping AI/ML models, and translating complex findings for various stakeholders.
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
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.
In addition, you’ll apply machine learning to real-world product and business problems. You should be comfortable prototyping AI/ML models in notebooks, experimenting with approaches (classification, clustering, regression, NLP, etc.), and translating findings into actionable insights for the product and business.
What you will do
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.
You will be a great fit if you have
Advanced SQL and Python
Cloud platform expertise (AWS, GCP, Azure).
Strong problem-solving and communication skills.
Nice to haves
Flexibility and Logistics
We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance.
If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!