Director of Data Insight & Analytics
London
DeepL
Translate texts & full document files instantly. Accurate translations for individuals and Teams. Millions translate with DeepL every day.DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.
Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.
What sets us apart
What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.
*Please note that the deadline for applications for this role is Tuesday 17 June at 23:00 BST. Applications will not be reviewed until after the deadline.
As the Director of Data Insights and Analytics, you will be the strategic and technical lead responsible for building a best-in-class data function focused on driving revenue performance. This role will sit at the intersection of data engineering, analytics, and data science, and will partner closely with Sales, Customer Success, Marketing, and Tech teams. You’ll lead the development of robust data pipelines, ensure data quality and governance, design advanced analytics capabilities, and build predictive models to optimize revenue outcomes.
We’re seeking a strategic leader who thrives in a fast-paced environment and is passionate about leveraging data and technology, particularly AI, to drive success. The ideal candidate is a collaborative problem-solver with a deep understanding of B2B analytical needs, has a strong technical acumen, and a proven ability to lead high-performing teams.
Your Responsibilities
Data Strategy & Infrastructure
Design and implement a comprehensive road map that empowers go-to-market (GTM) departments to make informed, data-led decisions.
Cross-functional collaboration: Partner with Sales, Marketing, Customer, and Tech teams to deliver insights that inform strategic direction and enhance overall business outcomes.
Design and maintain scalable, secure, and reliable data pipelines that support revenue analytics across the customer lifecycle.
Lead integration across CRM, CS, billing, and product usage platforms (e.g., Salesforce, Gainsight, Hubspot, Clickhouse, Databricks).
Define and enforce best practices in data integrity, lineage, and governance to ensure trusted and unified reporting. Ensure thorough documentation for data processes, systems architecture, and stakeholder dependencies, promoting transparency and cross-team efficiency.
Analytics & Insights
Build and evolve dashboards, KPIs, and reporting suites that measure performance across Sales and Customer Success.
Translate complex data into actionable insights and strategic recommendations for revenue leaders.
Partner with RevOps and GTM leadership to develop pipeline forecasting, churn analysis, segmentation strategies, and performance attribution models.
Data Science & Predictive Modeling
Develop and deploy predictive models to support lead scoring, customer health scoring, revenue forecasting, upsell/cross-sell propensity, and retention.
Evaluate and continuously improve model accuracy, bias, and effectiveness using advanced statistical techniques.
Collaborate with engineering and product teams to embed intelligence into operational workflows and systems.
Team Leadership
Lead and mentor a team of data analysts, scientists, and engineers.
Foster a culture of collaboration, innovation, and continuous improvement.
Champion a practice of experimentation, curiosity, and data literacy across the Revenue organization.
Qualities we're looking for:
8+ years of experience in data analytics, data science or business intelligence, with a proven focus on Revenue, Sales, or Customer organisations. At least 4 years in a leadership role managing cross-functional data teams in a SaaS, tech or AI-driven company.
B2B Experience. Develop and track key performance metrics related to sales-assist growth, cost of acquisition, pipeline health, conversion efficiency, sales productivity and customer retention. Partner with Finance on revenue reporting and reconciliation.
Deep understanding of CRM and Customer Success data models (Salesforce, HubSpot, Gainsight).
Strong experience building and maintaining data pipelines with modern tools (e.g., dbt, Airflow, Fivetran, Snowflake).
Proven success developing and operationalizing predictive models using Python or SQL.
Expert-level skills in data visualization and BI platforms (e.g., Looker, Tableau, Metabase).Excellent communication, stakeholder management, and cross-functional collaboration skills. Strong collaboration skills, with the ability to concisely report technical information to both technical and non-technical audiences.
Strong personal impact. Ability to present to and influence senior leaders, ability to challenge and communicate complex subjects in a simple way
Proactive and self-motivated, with a passion for continuous learning and staying up-to-date with industry trends and best practices
People Leadership. Experience building and scaling analytics teams in fast-paced, high-growth environments. Demonstrated experience in building, inspiring, and developing high-performing teams. Proven ability to set clear expectations for direct reports, evaluate performance, and support career growth.
Ability to work in a fast-paced environment: creating plans which are highly flexible based on numerous internal and external dependencies
What we offer
Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration.
Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.
Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.
We are an equal opportunity employer
You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Business Intelligence Data Analytics Databricks Data pipelines Data quality Data strategy Data visualization dbt Engineering Finance FiveTran HubSpot KPIs Looker Metabase Pipelines Predictive modeling Python Salesforce Security Snowflake SQL Statistics Tableau
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Startup environment Team events Transparency
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