Senior Analytics Engineer

Tel Aviv

Hybrid

Full-time

About Nimble:

Nimble is the real-time web search platform built for enterprise accuracy, completeness, and trust. We run Web Search Agents that actively navigate live websites using real browsers and reasoning, turning the public web into governed, decision-grade data for AI systems and high-stakes business use.

Unlike index-based “AI search” tools or brittle legacy scraping, Nimble makes the live web queryable on demand, delivering structured outputs that teams can verify and rely on. Our platform powers use cases where correctness matters: financial due diligence, real-time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data.

Trusted by leading enterprises like Home Depot, Uber, and Coca-Cola and backed by top-tier investors, Nimble sits at the intersection of AI, automation, and real-time web intelligence.

As demand accelerates across AI, LLMs, and data-driven decisioning, we’re scaling quickly and looking for high-energy, driven teammates who thrive in fast-moving environments and want to help define a new category.

Why join Nimble?

Work on a deeply technical platform powering real-time AI and enterprise decisions
Help define the future of Web Search Agents and live web intelligence
Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership
About the Role:

About the Role

We’re looking for a Senior Analytics Engineer to own the analytics and data modeling layer of our data platform.

This is a hands-on role for someone who enjoys building reliable data models, defining metrics, and creating high-quality BI - while also working closely with a part-time Data Engineer to shape and prioritize data pipelines.

You will be the owner of the data layer - responsible for how data is structured, modeled, and used across the company.

What You’ll be Doing:
Own the data model: design and maintain clean, well-structured models (dbt) that serve as the foundation for all analytics
Build and maintain business-critical dashboards in Sigma (Product, Finance, Executive, etc.)
Define and standardize core business metrics (revenue, usage, product KPIs)
Translate business needs into scalable data models, not just one-off queries
Work closely with stakeholders (Product, Finance, Sales, R&D) to understand needs — and challenge / refine requests when needed
Define and prioritize work for the Data Engineer (pipelines, data sources, logging improvements)
Collaborate on improving data quality, reliability, and trust
Write advanced SQL and own transformations in Snowflake (bronze/silver/gold layers)
Support ad-hoc analysis when needed - but within a structured, model-first approach

What This Role Is (and Isn’t)

This is a data ownership + building role, not a pure analysis role
~60–70% data modeling, BI, and ownership
~30–40% analysis and stakeholder support
You will define what gets built, not just respond to tickets
What You Should Have for the Role:
5+ years of experience in Analytics Engineering / BI / Data roles
Strong SQL skills - ability to design and optimize complex transformations
Proven experience building and maintaining data models (dbt or similar)
Experience working with a modern data warehouse (Snowflake preferred)
Strong experience with BI tools (Sigma, Tableau, Looker, etc.)
Experience working with or guiding Data Engineers / pipelines
Ability to work independently and take full ownership of the data layer
Strong communication skills and ability to work with non-technical stakeholders

Strong Plus

Experience with Sigma Computing
Familiarity with Airflow / orchestration tools
Experience in SaaS / product analytics environments
Experience defining metrics and improving data consistency across teams

Your dream job is here

At Nimble you’ll join a team of brilliant minds striving to solve the hard problems affecting data gathering. Although we work hard, we also play hard, and together create a vibrant community with frequent company retreats, human-first conditions, and an energetic atmosphere.