Analytics Lead

Analytics Lead

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
FIRST

At a Glance

  • Tasks: Lead analytics initiatives, transforming complex data into actionable insights for strategic decision-making.
  • Company: Join FIRST, a global leader in brand experience and event production.
  • Benefits: Enjoy private medical insurance, generous leave, wellness stipends, and global opportunities.
  • Other info: Collaborative environment with a commitment to ethical data practices.
  • Why this job: Make a real impact by driving AI and data capabilities for high-profile clients.
  • Qualifications: 3-5 years in analytics with expertise in Python or R; strong storytelling skills.

The predicted salary is between 60000 - 80000 £ per year.

FIRST is a leading global brand experience agency providing Content, Creative, Digital Technology, Management & Delivery, and Data & Insights services. For 30 years, we have utilized three flexible delivery models: Embedded teams, Corporate Campus operations, and a Full-Service Agency. Managing over 37,000 events & projects annually across 110 countries, FIRST serves 130+ brands, specializing in Fortune 500 companies within the Financial Services, Technology, Healthcare, Media, and Professional Services sectors.

The Analytics Lead will play a pivotal role at FIRST bolstering the company’s AI and data capabilities. Reporting to the Director of Data and Analytics, you will be responsible for translating complex data into actionable intelligence that drives strategic decision-making and delivers measurable value to clients. This is a key role in FIRST's role as an intelligence-driven partner in the brand experiences sector. The role offers an exceptional opportunity to help drive strategic transformation and work with sophisticated, high-profile clients.

Your Contributions

  • Lead the development and implementation of client intelligence solutions, predictive models and insight generation capabilities.
  • Translate complex data sets into commercial insights that power decision-making for both internal stakeholders and clients.
  • Design and implement predictive models that enhance event performance, client satisfaction and revenue forecasting.
  • Develop approaches that transform event performance data into actionable insights.

Advanced Analytics

  • Apply statistical modelling, machine learning techniques and data visualization to solve complex business challenges.
  • Lead the design and execution of experiment design and A/B testing to optimize performance.
  • Build and implement sophisticated analytical models that deliver against FIRST’s strategic objectives of productivity improvement and revenue generation.
  • Create compelling data narratives that communicate insights effectively to both technical and non-technical audiences.

Strategic Leadership

  • Contribute to the transformation of FIRST's operating model through AI and data capabilities.
  • Work with cross-functional teams to establish metrics, KPIs and robust measurement approaches.
  • Support the development of AI-powered products and services that create differentiated client value.
  • Partner with business units to define metrics that align with strategic objectives.

What We Are Looking For

  • Bachelor’s Degree preferred or Equivalent practical or technical experience required.
  • Advanced degree in Statistics, Data Science, Mathematics, Computer Science or related quantitative field.
  • Position requires 3-5 years of experience.

Technical Skills

  • Expert proficiency in Python and/or R for statistical modelling and data analysis.
  • Strong understanding of business processes and how to apply analytics to improve them.
  • Experience with machine learning techniques and their practical applications in business settings.
  • Proven ability to build statistical models, perform advanced analysis, and generate meaningful insights.

Business And Communication Skills

  • Exceptional business storytelling ability with a focus on translating complex data findings into clear, actionable recommendations.
  • Demonstrated skill in consulting with business units to define metrics and KPIs.
  • Strategic mindset with the ability to connect analytics work to business outcomes and revenue generation.
  • Experience working with cross-functional teams and influencing decisions through data-driven insights.

Industry Knowledge

  • 5+ years of experience in analytics, business intelligence or data science roles.
  • Experience in consulting, marketing, or professional services environments is beneficial.
  • Track record of successfully implementing analytics solutions that drive measurable business impact.

Key Competencies and Attributes

  • Strategic analytical thinker with exceptional problem-solving abilities.
  • Strong business storytelling skills and ability to communicate complex concepts clearly.
  • Results-oriented with focus on delivering measurable business impact.
  • Collaborative team player who builds strong relationships across functions.
  • Intellectually curious with passion for exploring new analytical approaches.
  • Rigorous attention to detail while maintaining a big picture perspective.
  • Client-centric mindset that aligns analytics work with customer value.
  • Adaptable to changing requirements and business priorities.
  • Committed to ethical data practices and responsible analytics.

Benefits

  • Private Medical Insurance with BUPA from day one.
  • 28 Days Annual Leave PLUS Bank Holidays.
  • Personal Volunteer Day.
  • 20 Days of Sick Pay each Year.
  • Enhanced Parental Leave (Maternity & Paternity).
  • Wellness Stipend.
  • Complimentary access to Headspace, Rocket Lawyer & Maven.
  • Life Insurance.
  • Employee Assistance Program (EAP).
  • Cycle to Work Scheme.
  • Season Ticket Loan.
  • Mobile Phone Allowance.
  • Pension Scheme Enhancements.
  • Discretionary Bonus Structure.
  • Global Opportunities: With a presence in 7 countries worldwide, including headquarters in London, New York, and Singapore, you may have the opportunity to work on exciting projects across different locations.

FIRST is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. FIRST is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

Analytics Lead employer: FIRST

FIRST is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to engage with high-profile clients and drive strategic transformation through data and AI capabilities. With comprehensive benefits such as private medical insurance, generous annual leave, and global opportunities for career growth, FIRST prioritises employee well-being and professional development, making it an ideal place for those seeking meaningful and rewarding employment in the analytics field.

FIRST

Contact Details:

FIRST Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analytics Lead

Tip Number 1

Network like a pro! Reach out to people in your industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for interviews by researching FIRST and its projects. Understand their approach to analytics and be ready to discuss how your skills can contribute to their goals. Tailor your examples to show how you can drive value for their clients.

Tip Number 3

Practice your storytelling skills! Be ready to translate complex data into clear insights during interviews. Use real-life examples to demonstrate how your analytical work has led to measurable business impact in the past.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the FIRST team and contributing to their innovative projects.

We think you need these skills to ace Analytics Lead

Python
R
Statistical Modelling
Data Analysis
Machine Learning Techniques
Data Visualisation
A/B Testing

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your technical skills, especially in Python or R. We want to see how you can apply these tools to solve real business problems, so don’t hold back on showcasing your experience with data analysis and machine learning!

Tell a Compelling Story:When you write about your past experiences, focus on how you turned complex data into actionable insights. We love a good story, especially if it shows how your work led to measurable business impact. Keep it clear and engaging!

Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Analytics Lead role. Show us how your background aligns with what we’re looking for at FIRST.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team!

How to prepare for a job interview at FIRST

Know Your Data Inside Out

As an Analytics Lead, you'll need to demonstrate your expertise in data analysis. Brush up on your knowledge of Python and R, and be ready to discuss specific projects where you've applied statistical modelling or machine learning techniques. Prepare to explain how your insights have driven business decisions.

Craft Your Business Story

Exceptional storytelling is key in this role. Think about how you can translate complex data findings into clear, actionable recommendations. Practice explaining your past work in a way that highlights the impact on client satisfaction and revenue generation, making it relatable to both technical and non-technical audiences.

Showcase Your Strategic Mindset

FIRST values a strategic approach to analytics. Be prepared to discuss how you've contributed to transforming business processes through data insights. Think of examples where your analytical work has aligned with broader business objectives and led to measurable outcomes.

Prepare for Cross-Functional Collaboration

This role requires working with various teams, so highlight your experience in collaborating across functions. Share examples of how you've influenced decisions through data-driven insights and how you've established metrics and KPIs that align with strategic goals. Show that you're a team player who can build strong relationships.