Data Analyst

At Kato, speed is our superpower.

We’re a fast-growing PropTech startup on a mission to completely transform the commercial property industry. Backed by top-tier VCs, industry experts, and a leadership team with deep real estate and technology expertise, our all-in-one platform and rich industry data are already trusted by 80% of the UK commercial real estate market.

We’re building new product lines, unlocking untapped market segments, and scaling internationally and we’re doing it with a small, focused team that moves fast, thinks big, and communicates openly.

We need a Data Analyst who thrives in high-growth, high-energy environments. Someone who can work end-to-end from scoping questions with stakeholders, to digging into complex datasets, to delivering insights that directly influence decisions across the company.

If you’ve got startup or scaling experience, know how to balance speed with quality, and can explain complex findings in a way that makes everyone (from engineers to execs) sit up and listen … this is your opportunity to make a massive impact.

Why This Role Exists:

At Kato, data isn’t just a byproduct of what we do - it drives every decision we make.

Whether it’s helping sales prioritise the hottest leads, guiding product to build features our customers will love, or giving leadership the visibility they need to set strategy - data is at the heart of it! This is not a “sit in the corner and build reports” role. You’ll be:

• Embedded in conversations with decision-makers.
• Helping shape the company’s direction at a strategic level.
• Ensuring data is clean, reliable, and accessible so that every team can move faster.

Whats on Offer:

• Competitive salary
• Private healthcare including dental & optical
• 25 days holiday + your birthday off + duvet days
• Hybrid working - 2 -3 days in-office (Carnaby Street), 2 days WFH
• Snacks, drinks & team lunches in our Soho office
• The opportunity to help build one of PropTech’s most data-rich platforms from the ground up

What You’ll Be Doing:

Data Analysis & Insights

• Analyse complex, multi-source datasets to uncover trends, patterns, and opportunities.
• Deliver clear, actionable insights to support fast, informed decisions.
• Maintain and improve reports and dashboards to track company-wide KPIs.
• Run ad-hoc deep dives to answer urgent business questions.
• Contribute to forecasting models, scenario evaluations, and strategic planning.

Business Intelligence & Reporting

• Build and manage dashboards in Amazon Quicksight, Tableau, or Power BI.
• Define and standardise KPIs in collaboration with stakeholders.Present findings in clear, jargon-free language for both technical and non-technical audiences.

Data Preparation & Transformation

• Clean and transform data from multiple sources for consistency and accuracy.
• Work closely with analytics and data engineers to improve accessibility and quality.
• Maintain curated datasets for recurring reports and business-critical analyses.

Data Quality & Governance

• Validate and QA data to ensure 100% trust in the numbers.
• Document analytical processes, data definitions, and calculation logic.
• Support initiatives that improve metric consistency and governance across teams.

Stakeholder Collaboration

• Partner with every function such as Product, Marketing, Ops, Finance, to gather requirements and deliver data-driven insights.
• Translate business needs into analytical approaches and clear, confident recommendations.Manage projects end-to-end, from scoping through to delivering outputs that land with impact.

What We’re Looking For:

Must-Haves:

• Strong proficiency in SQL for querying and transforming data, plus advanced Excel skills.
• Hands-on experience with BI/visualisation tools (Quicksight, Tableau, Power BI, Looker).
• Comfort working with large, complex datasets from multiple sources.
• Strong analytical skills, a problem-solving mindset, and a laser focus on detail.
• Ability to communicate complex data stories to diverse audiences - from engineers to execs.
• Experience collaborating with cross-functional teams to deliver measurable business impact.

Nice-to-Haves:

• Python or R for deeper analysis.
• Familiarity with dbt and modern data warehouses (Redshift, Snowflake, BigQuery, Databricks).
• Experience in statistical analysis, experimentation, or A/B testing.
• Exposure to data governance best practices and documentation.

What Success Looks Like:

• Teams across Kato are making faster, better decisions thanks to your insights.
• Dashboards and reports are trusted, up-to-date, and directly support business goals.
• Stakeholders describe you as a partner, not just a data person.
• You’re known for clear communication and the ability to simplify complexity without losing depth.

Interview Process & Timings:

We move quickly - you’ll always know where you stand so here are the stages of the interview process:

1. Introductory Call with Technical Recruiter - 20 mins A friendly chat to learn more about you, your background, and career goals, while giving you an overview of Kato and the role.
2. Take-Home Task - 3 hours A realistic dataset and brief to showcase your data cleaning, analysis, and insight-generation skills.
3. Technical Discussion with Head of Engineering - 90 mins - We will review of your take-home task and have a discussion of your technical skills, problem-solving approach, and collaboration style as well an opportunity for you to ask questions about our engineering culture and data strategy.
4. On-site Conversation with Founder - 30 mins - Meet at our Carnaby Street HQ to connect with our Founder, discuss our vision, and explore how you can shape our future.
5. Offer - If we’re aligned, we won’t hang around - we’ll get you an offer fast!

Why Join us at Kato?

• Impact from day one - your work will be live and influencing decisions within days, not months.
• Small, high-calibre team - work alongside talented people who care deeply about the mission.
• Direct access to leadership - you’ll be in the room for important conversations, not on the sidelines.
• Growth opportunities - as we scale, you’ll have the chance to take on more responsibility and shape your role.

If you’re the kind of analyst who gets energy from solving problems, thrives under pace, and knows how to make numbers tell a story we’d love to hear from you.