Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data strategy, mentor teams, and optimise analytics for business growth.
- Company: Join a fast-moving B2B SaaS company focused on data-driven decision-making.
- Benefits: Enjoy a dynamic work environment with opportunities for hands-on involvement and leadership.
- Why this job: Make a real impact by bridging business and data, influencing C-suite decisions.
- Qualifications: 10+ years in data roles, strong leadership, and hands-on technical skills required.
- Other info: Work with cutting-edge tools like Snowflake and Python to drive analytics.
The predicted salary is between 72000 - 108000 £ per year.
The Director of Data & Analytics will be a strategic business leader responsible for defining and executing the company's data strategy. This role bridges the gap between business and data teams, ensuring that analytics drive smarter, faster, and more profitable decisions across the company. You will work directly with C-suite executives and senior leaders, helping refine our commercial strategy, revenue performance metrics, and customer insights. While this is a leadership role, we’re a fast-moving company, and sometimes you’ll need to roll up your sleeves whether it’s refining a dashboard, optimising a key data pipeline, or troubleshooting a complex analytics challenge.
You’ll lead and mentor teams across key analytics functions such as Product, Marketing, Commercial Analytics and Data and Analytics Engineering. The teams use tools like Segment and Mixpanel to track user behaviour, guide product strategy, and measure feature impact. We analyse data from Salesforce, NetSuite, and other sources to drive revenue performance, pipeline insights, and sales forecasting. From an engineering perspective, we maintain Python-based data pipelines for seamless ingestion into Snowflake, using dbt to model and optimise data.
This role requires a blend of business acumen, executive-level stakeholder management, and technical execution; someone who can advise the C-suite on strategy, lead teams, and contribute directly when needed.
Key Responsibilities- Strategic Leadership & Business Impact
- Partner with C-suite executives to provide data-driven recommendations on revenue growth, commercial performance, and product strategy.
- Define and execute a data strategy that aligns with business priorities and enables faster, more informed decision-making.
- Establish a data-driven culture, ensuring teams across the business leverage analytics effectively.
- Commercial & Product Analytics
- Define and track core revenue KPIs, sales performance metrics, and customer behaviour insights to optimise growth strategies.
- Work with Finance and Sales to enhance forecasting, pipeline analysis, and pricing strategies.
- Develop insights around customer lifetime value (LTV), churn, and acquisition effectiveness, helping refine go-to-market strategies.
- Data Infrastructure & Execution
- Guide the development and optimisation of data pipelines, dashboards, and reporting tools.
- Ensure the Snowflake data warehouse and dbt models are structured efficiently for business analytics.
- When necessary, jump in to debug a data pipeline, optimise a SQL query, or refine a key dashboard to keep things moving.
- Stakeholder Engagement & Cross-Functional Collaboration
- Bridge the gap between business and data teams, ensuring technical solutions align with commercial needs.
- Present complex data insights in a clear, compelling way to executives and non-technical stakeholders.
- Develop a roadmap for analytics maturity, ensuring teams evolve from basic reporting to advanced predictive analytics.
- Must-Have Experience
- 10+ years in data & analytics roles, with significant leadership experience in a B2B SaaS environment.
- Proven track record advising and influencing C-suite executives using data-driven insights.
- Experience defining business KPIs, revenue performance metrics, and customer analytics strategies.
- Strong commercial acumen - deep understanding of SaaS business models, including ARR, retention, expansion, and churn dynamics.
- Willingness to be hands-on when necessary - whether it’s refining a data model, troubleshooting a pipeline, or debugging a reporting issue.
- Technical & Analytical Skills
- Experience working with Salesforce, NetSuite, and commercial analytics tools.
- Strong understanding of data pipelines and ETL workflows, ideally using Python.
- Expertise in modern data warehouses (Snowflake, BigQuery, Redshift) and data modeling with dbt.
- Familiarity with self-service analytics platforms (Looker, Omni, Holistics, Lightdash, Mixpanel, Amplitude).
- Leadership & Communication
- Exceptional stakeholder management skills, with the ability to translate complex data insights into business decisions.
- Experience leading and scaling cross-functional teams across analytics, engineering, and business operations.
- Ability to balance strategic vision with hands-on execution, ensuring data initiatives drive measurable business impact.
Director - Data & Analytics employer: 851006
Contact Detail:
851006 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director - Data & Analytics
✨Tip Number 1
Network with professionals in the B2B SaaS industry, especially those in data and analytics roles. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends, which can give you an edge in discussions during interviews.
✨Tip Number 2
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, dbt, and Salesforce. Consider taking online courses or certifications to demonstrate your proficiency, as this will show your commitment and readiness to hit the ground running.
✨Tip Number 3
Prepare to discuss your experience in translating complex data insights into actionable business strategies. Think of specific examples where your data-driven recommendations led to measurable outcomes, as this will resonate well with the C-suite executives you'll be working with.
✨Tip Number 4
Showcase your leadership skills by highlighting instances where you've successfully led cross-functional teams. Be ready to discuss how you foster collaboration between technical and non-technical stakeholders, as this is crucial for bridging the gap between business and data teams.
We think you need these skills to ace Director - Data & Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data and analytics, especially in B2B SaaS environments. Emphasise your leadership roles and any direct experience with C-suite executives.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate your understanding of the company's data strategy and how your skills align with their needs. Mention specific tools and methodologies you have used that relate to the job description.
Showcase Technical Skills: Detail your technical expertise in data pipelines, ETL workflows, and analytics tools. Provide examples of how you've optimised data processes or contributed hands-on to projects, as this role requires both strategic and technical capabilities.
Prepare for Stakeholder Engagement: Be ready to discuss how you have successfully communicated complex data insights to non-technical stakeholders. Highlight your experience in bridging the gap between business and data teams, as this is crucial for the role.
How to prepare for a job interview at 851006
✨Showcase Your Strategic Vision
As a Director of Data & Analytics, you'll need to demonstrate your ability to define and execute a data strategy. Be prepared to discuss how you've previously aligned data initiatives with business priorities and the impact it had on decision-making.
✨Prepare for Technical Questions
Expect to be asked about your experience with data pipelines, ETL workflows, and tools like Snowflake and dbt. Brush up on your technical skills and be ready to explain complex concepts in a way that non-technical stakeholders can understand.
✨Highlight Your Leadership Experience
This role requires strong leadership skills, so be ready to share examples of how you've led cross-functional teams. Discuss your approach to mentoring and developing talent within analytics and engineering teams.
✨Demonstrate Your Hands-On Approach
While this is a leadership position, being hands-on is crucial. Prepare to discuss instances where you've rolled up your sleeves to troubleshoot issues or optimise processes, showcasing your willingness to dive into the details when necessary.
