Nuitée is redefining online travel through API-first technology that brings demand and supply into one connection – no more intermediaries or third-party layered solutions.
Exclusive travel experiences are no longer optional – they’re expected. For fintech partners like Revolut, access to premium hotel inventory isn’t just a perk – it’s a strategic differentiator. But there’s a problem – the best hotel inventory is locked into a legacy system designed for OTAs to win. As long as the inventory is locked behind intermediaries designed to protect OTA margin, true differentiation is impossible. We know because we spent 5 years trying to unlock this inventory. But we didn’t build another white-label OTA or aggregator or reseller feed. We built a singular connection for partners to access exclusive hotel inventory at the source. It’s the ability to tap into true direct access – inventory that’s never been on any OTA; real control over availability, pricing, hotel value adds, and dynamic AI merchandising with configurable perks.
After 20 years in a locked ecosystem, partners can finally turn travel into a branded margin-positive differentiator that builds loyalty – and wins. We let hoteliers own their inventory and let demand partners own the relationship.
Role Overview
Do you want to be a part of reshaping the travel ecosystem? We’re looking for a highly motivated Principal Data Analyst to own the analytics layer across our Connectivity, Payments and Services, Smart Distribution products. This role will work alongside product, engineering, finance and leadership to deliver analytics that surface critical insights to help our partners to connect easily, manage their operational overhead and capture more demand more profitably. This role is pivotal to achieving our goal to help hoteliers be part of the future of travel and deliver true value.
You are not just reporting on performance – you will be uncovering insights that shape product strategy, business direction and operational performance that is critical to helping design and define what success should look like.
Main Responsibilities
Deep Analysis and Insight Development
Identify and investigate anomalies, patterns, hidden trends or inefficiencies in product and partner data (e.g. usage, flows, delays, engagement), diving deep to uncover root causes, quantify impact, and surface actionable insights.
Translate low-level metrics and complex, messy data into clear business implications — sizing problems or opportunities, prioritizing based on relative impact, and guiding decisions that helps teams to move key outcomes.
Strategic Partnership
Act as the analytics thought partner for product and business leads.
Shape product roadmaps by bringing data to strategic planning conversations.
Recommend KPIs and success metrics aligned with broader company objectives.
Build and Own Analytics Infrastructure
Create and maintain robust dashboards, models, and reporting systems using tools like SQL, dbt, Looker/Mode/Tableau, and Python/R as needed.
Help define and enforce clean data structures and tracking practices across teams.
Help product managers make smarter tradeoffs, identify which problems are worth solving, and validate their hypotheses.
Support leadership in evaluating strategic bets and resource allocation through rigorous quantitative analysis.
Cross-functional Collaboration
Work across product, engineering, finance, operations, and AI teams to create a single source of truth for decision-making.
Mentor more junior analysts or data-savvy product managers.
Requirements
7-10+ years in analytics or data science roles, ideally in product-led B2B SaaS or platform businesses.
Proven ability to extract signal from noisy data across user journeys, funnel metrics, product telemetry, financial performance, and more.
Advanced SQL skills a must; experience with Python, R, or similar for deep dives or modeling is a strong plus.
Experience with BI tools (Looker, Tableau, Mode, etc.) and data modeling (dbt preferred).
Comfortable navigating modern data stacks and data warehouses (e.g., BigQuery, Snowflake).
Experience working with AI and LLMs is a plus.
Deep understanding of product development processes and how data can shape product strategy and prioritization.
Strong business judgment; able to connect data insights to real-world impact.
Proven experience defining and tracking success metrics for product features, launches, and experiments.
High autonomy and ownership – you don’t wait for problems to be assigned.
Excellent communication – can synthesize complex findings into simple, compelling narratives.
Proactive, curious, and collaborative – you bring clarity to ambiguity.
What We Offer
The opportunity to be at the heart of disruption in travel and to shape the future of travel connectivity in a high-impact role at the intersection of product, data and business strategy
A fast-paced product-led environment tackling meaningful problems
Autonomy to shape how data is used to make the most important decisions
#J-18808-Ljbffr