Lead Data Analytics Engineer, Landbot
More information about location
Chatbot builder
Be an early applicant
Chatbot builder
21-100 employees
Be an early applicant
More information about location
21-100 employees
Company mission
To help companies to create conversational experiences so they can boost customer engagement with human conversations, at scale.
Role
Who you are
- You have proven experience with analytics engineering tools (dbt, SQL, Airflow) and modern data warehouses (BigQuery, Snowflake, Redshift)
- Strong Python skills for building transformations, automation, and data quality validations
- You’re fluent in business metrics and know how to translate data into decisions that impact ARR, retention, and growth
- You are storytelling-driven: able to turn complex data into clear, persuasive insights and visualizations
- You value productivity: you focus on the 20% of insights that deliver 80% of the value
- You are comfortable working with experiments (A/B tests, hypothesis validation) and enjoy bridging the gap between product discovery and data
- You thrive in a cross-functional environment, collaborating with engineers, PMs, and business teams
- You care about governance and trust in data, ensuring consistency and quality in everything you build
- You are curious, growth-oriented, and passionate about building the foundation for AI-ready data products
- Proficient with Git/GitLab, applying best practices in version control and GitOps workflows for reproducible and collaborative development
- Excellent communication skills in English & Spanish
- We require eligibility to work in Spain and are also open to collaboration agreements
What the job involves
- As a Data Analytics Engineer, you will sit at the intersection of engineering, product, and business, transforming raw data into certified, business-ready models and enabling teams to create impact through insights
- This role is part of our central Data Analytics team, working closely with Data Engineers (Platform) and stakeholders across Product, Sales, Customer Success, and Marketing
- Your mission: make data reliable, accessible, and actionable, fueling both day-to-day operations and our long-term AI-driven vision
- You'll transform raw data into business-ready models using dbt, powering Landbot’s single source of truth
- Define, standardize, and certify key business metrics, ensuring consistency across teams
- Enable 70% self-service analytics by building certified datasets, governed layers, and training business teams
- Partner with Business, GTM, CS, and Marketing to validate hypotheses, run experiments (A/B tests), and translate insights into decisions
- Deliver high-leverage insights with productivity in mind, focusing on what drives action, not on producing endless reports
- Turn data into stories: craft clear, compelling visualizations and narratives that influence product strategy and business growth
- Support advanced analytics use cases such as segmentation, retention analysis, and predictive modeling to prepare for AI-powered features
- Collaborate with Data Engineers and Platform to ensure reliable, scalable, and observable pipelines
- Promote data literacy: coach and empower non-technical teams to ask better questions and use data in their daily decisions
Application process
- Please submit your résumé along with a cover letter explaining why you are the ideal candidate for Landbot and this role. We look forward to hearing from you!
- 1️⃣ HR Interview – 20 min
- 2️⃣ Team Interview – 60 min
- 3️⃣ Interview with Leadership - 20 min
- 4️⃣ CEO - 15 min
Our take
Chatbots have been around for quite some time and have seen a few iterations over the decades. But chatbots can require heavy coding which is costly, time consuming and can only be executed by professionals. There was also a huge gap between user expectations and reality.
Landbot had the idea to create a drag-and-drop style bot-builder that doesn’t require coding to support custom conversation flows. This quickly proved to be popular with customers, and the company have grown exponentially, being trusted by thousands of leading businesses including Coca-Cola, Nestle and Prudential.
Back in 2021, Landbot acquired Morph.AI, a chat-based marketing automation tool based in India. This supported its expansion into the Asian market, as the company aims to secure a position for itself against competition from other players like ManyChat.
Freddie
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Funding (2 rounds)
Jan 2021
$7.6m
SERIES A
Jul 2018
$2.3m
SEED
Total funding: $9.9m
Company benefits
- Great culture & working atmosphere
- Live and work in sunny Barcelona
- Hybrid culture
- Friday happy hours and after hour weekly team meetings
- Flexible holidays so you can take time off when you need it
- Bonus transport tickets, educational content and all you need to feel empowered
- Referral Bonus if you bring other talented people like you
- MacBooks are our standard, but we’re happy to get you whatever equipment to get your job done
Leadership
Cris Villar
(Founder & VP of CS/Sales)Executive Member of Pavilion. Was COO & Co-Founder of Yexir and Helloumi and CEO & Co-Founder of Lanzadera.
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