Performance & Optimisation Executive in Leeds

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Job Title: Optimisation and Performance Executive
Department: Streaming Product & Growth
Reporting to: Performance Manager
Location: Leeds or London (this role requires travel between Leeds and London offices once per month)
Grade: P2
DEPARTMENT DESCRIPTION
The Streaming department is responsible for the strategy, development, and operation of our digital streaming platform, delivering high-quality, on-demand content to audiences across multiple devices and markets.
The team drives innovation in user experience, content delivery, and platform technology, ensuring our streaming service remains competitive and aligned with evolving consumer expectations.
Working cross-functionally with Technology, Marketing, Content and Editorial, Commercial and Insights, the department is at the forefront of digital transformation enabling the business to reach new audiences and maximise engagement in a rapidly changing media landscape as part of our Fast Forward strategy.
JOB PURPOSE
Working under the direction of the Performance Manager, the Optimisation and Performance Executive delivers experimentation and commercial performance analysis across Streaming and C4+. The role investigates performance drivers, identifies opportunities for improvement and translates analysis into clear recommendations that support audience growth, engagement and commercial outcomes.
Working alongside the Performance Analyst, the Audience Growth squad and relevant teams, the role undertakes daily and weekly performance analysis using SQL, Adobe Analytics and available reporting to explain trading movements and identify risks and opportunities. The role sizes potential initiatives and develops supporting business cases, assessing benefits, costs and commercial impacts to inform prioritisation, and tracks agreed actions and their outcomes.
The role also coordinates the experimentation roadmap across Product, Growth and C4+, maintaining a central backlog and contributing to prioritisation and sequencing. Working with the teams responsible for delivering initiatives, the role advises on experiment design, applies statistical methods and communicates findings and recommendations, drawing on specialist analytical support where required. The balance between experimentation and commercial performance analysis will flex according to business priorities.

KEY RESPONSIBILITIES

• Deliver experimentation coordination and analytical activity across Streaming Product & Growth, working under the direction of the Performance Manager and in partnership with the Performance Analyst, delivery teams and wider Analytics teams.
• Roadmap & Prioritisation: Manage and maintain the central backlog of experiments, working with the
• Performance Manager to agree priorities. Review briefs with stakeholders, contribute to quarterly planning and challenge prioritisation and sequencing, identifying potential conflicts between experiments so results can be interpreted reliably.
• Experiment Design & Measurement: Advise on the set-up of experiments so they are statistically sound, with success criteria, KPIs and appropriate benchmarks agreed in advance. Work with delivery teams to clarify measurement requirements and support reliable evaluation.
• Experimentation Expertise & Analysis: Provide subject matter expertise in the statistical analysis of experiments, including complex tests across platforms and channels, using their respective data sources and analytics tools. Apply agreed statistical methods and quality standards, including appropriate use of significance, power and confidence intervals, and explain their meaning when interpreting results.
• Technical Analysis: Use SQL and Adobe Analytics to extract and investigate data for experiment measurement and performance analysis. Work with the Performance Analyst and wider Analytics teams for specialist support where required.
• Communication & Recommendations: Present findings clearly and tailor outputs to different audiences.
• Translate results, including inconclusive outcomes, into recommendations and next steps, and track agreed actions with the relevant teams.
• Reporting & Shared Learning: Provide regular updates on the experiment backlog and a quarterly summary of learnings and value delivered to senior stakeholders within the Streaming teams. Set up and maintain a centralised repository of experimentation insights to inform future initiatives and decisions.
• Experimentation Reporting: Work with the Performance Analyst and wider Data Reporting teams to contribute measurement requirements and help validate reporting outputs, which may include self-service access to experimentation results and learnings.
• Commercial Performance: Work with the Performance Analyst and Audience Growth squad to deliver daily and weekly Streaming and C4+ performance reviews. Use SQL, available Power BI reporting, Adobe Analytics and other insights to investigate trading movements, explain underlying drivers, constructively challenge performance and identify actionable commercial opportunities.
• Initiative Sizing & Business Casing: Size potential initiatives and develop supporting business cases, working with the Performance Analyst and relevant teams to assess potential benefits, costs and commercial impact and inform prioritisation.
• Methodology, Governance & Innovation: Apply agreed analytical methodologies, quality standards and governance processes. Work with the Performance Manager to improve experimentation ways of working, including exploring how AI can improve the efficiency and effectiveness of our practice.
• Prioritisation & Delivery Management: Work with the Performance Manager to manage and prioritise workload across multiple projects, delivering accurate analytical outputs and agreed activities to agreed timelines.
• Team Contribution & Collaboration: Contribute to a collaborative and high-performing team culture, sharing knowledge, supporting colleagues and actively developing analytical capability and expertise.

ESSENTIAL EXPERIENCE & SKILLS

• Experimentation Experience: Experience in optimisation and experimentation within a digital business, including coordinating roadmaps and analysing tests. Sound understanding of experimentation principles and conversion optimisation.
• Statistics: Strong working knowledge of statistics, especially methods used in randomised controlled trials, with the ability to apply them to experiment design, evaluate hypotheses and interpret results.
• Technical Skills: Experience using SQL and Adobe Analytics to analyse data, identify patterns and produce accurate outputs. Comfortable independently exploring data through available reporting, raw data and analytics tools, drawing on specialist analytical support where required.
• Problem Solving: Ability to break down business questions into manageable analytical tasks and identify appropriate approaches.
• Communication & Storytelling: Ability to explain analytical findings clearly, summarise key messages and tailor communication to different audiences in a straightforward and accessible way.
• Presentation Skills: Comfortable presenting experimentation findings, recommendations and commercial performance updates to colleagues and stakeholders.
• Prioritisation: Able to organise and prioritise own workload to meet agreed deadlines.
• Project Management & Organisational Skills: Supports the delivery of projects and workstreams, managing assigned tasks effectively.
• Collaboration: Works collaboratively with colleagues and stakeholders, contributing positively to team outcomes. Understands QA processes and can communicate measurement and technical requirements to delivery teams.
• Commercial Understanding & Application: Understanding of business objectives and performance measures, with the ability to translate analysis into actionable commercial recommendations and constructively challenge stakeholders.
• Adaptability & Resilience: Responds positively to change and adapts effectively to new priorities and ways of working.
• Innovation & Continuous Improvement: Open to learning new approaches and identifying opportunities to improve ways of working.

DESIRABLE EXPERIENCE & SKILLS

• Industry Experience: Experience in media, broadcasting, streaming, advertising or other consumer-focused industries.
• Digital Product Experience: Experience working with digital products or customer journeys.
• Experimentation & Marketing Tools: Experience with Optimizely Web and Feature Experimentation and/or Braze.
• Data Visualisation: Experience using Power BI or comparable reporting and data visualisation tools, such as Tableau, to explore data and communicate findings.
• Qualifications: A degree (or equivalent) in a numerical field, or studies/qualifications in data manipulation and/or numerical analysis.

Basic salary per annum starting from£39,375.00

BenefitsThere are a million reasons why it's great to work at Channel 4, here are just a few of the perks for you;

• Private medical insurance
• Free Virtual GP access for employees
• Free Female Health hormone test each year
• Free Tastecard membership
• Access to financial wellbeing resources
• Discounted Gym memberships
• Pension
• Life Assurance
• Income Protection
• Holiday Purchase

Hybrid workingFrom September 2023, C4 has operated a 60/40 working pattern, equating to three office days per week.

Having everyone in the office three days a week gives us more opportunity to build our high performing, inclusive culture; to collaborate and to learn and share with each other, as well as helping to coordinate a regular pattern of home and office working days. Employees then have the flexibility to decide where they spend the rest of the working week. All our offices are open five days a week.