GenAI Creative Optimisation Analyst | Beauty AI Studio

Established in 2004 OLIVER is the worlds first and only specialist in designing building and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40 countries and counting. Our unique model drives creativity and efficiency allowing us to deliver tailored solutions that resonate deeply with audiences.

As a part of The Brandtech Group were at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency spark creativity and drive insightful decision-making empowering our teams to produce innovative and impactful results.

Role: GenAI Creative Optimisation Analyst Beauty AI Studio

Location: Mumbai India

Work Timings:6:30am to 3:30pm

About the role:

This is an opportunity to join Beauty AI Studio (BAIS) OLIVERs creative solution designed specifically for Unilevers Beauty & Wellbeing portfolio as GenAI Creative Optimisation Analyst sitting at the intersection of data creativity and generative AI to drive content performance for some of the worlds most iconic beauty brands including DoveTRESemmé Ponds and Simple.

Based in the BAIS Maker Hub in India with a hybrid working arrangement youll be the analytical engine behind BAIS content performance measuring the effectiveness of Gen AI-assisted content across channels and markets surfacing actionable insights and translating data into creative recommendations that improve output quality and campaign performance. Working closely with creative production client service and Comms Strategy teamsyoullensure the Maker Hubs output is always informed by evidence not assumption.

We support flexible working and are open to different arrangements. We offer reasonable adjustments throughout the process.

The GenAI Creative Optimisation Analystis responsible formeasuring evaluating and optimising the performance of Gen AI-assisted content produced by the BAIS Maker Hub for Unilevers Beauty & Wellbeing brands across multiple markets. This is a mid-level analytical role that sits at the crossroads of data science content strategy and creative production translating complex performance data into clear actionable recommendations that directly improve the quality and effectiveness of content output.

Youlldesign and manage measurement frameworks build performance dashboards and develop analytics solutions that help the Maker Hub understand what is working why and what to do across digital media social e-commerce and brand data integrating diverse sources to build a complete picture of content performance and audience behaviour across beauty categories.

What you will be doing:

The role spans measurement framework design real-time performance dashboards and the translation of complex data into specific creative recommendations that improve content quality and campaign effectiveness across digital social e-commerce and brand channels. Working closely with creative production client service and Comms Strategy teams the analyst ensures the Maker Hubs output is continuously informed by data and evidence across multiple markets.

The role requires solid experience in content performance measurement including attribution modelling brand lift studies and MMM alongside hands-onproficiencywith Gen AI and analytics tools social listening platforms such asBrandwatchand GWI and strong data storytelling skills for non-technical audiences. The successful candidate will bring a genuine curiosity about the intersection of data AI and creative production the ability to work across multiple data sources simultaneously and a collaborative iterative way of working suited to a fast-paced studio environment. Experience within an FMCG beauty or consumer brand context isadvantageous and the ability to critically evaluate AI-generated outputs with rigorous human judgement is essential.

Measurement & Evaluation:

• Set track and evaluate KPIs for Gen AI-assisted content across channels and markets covering pilots campaigns and ongoing programmes of work within the BAIS programme.
• Design test learn and optimise plans that drive continuous improvement in content performance and deliver robust actionable learning outcomes for the Maker Hub.
• Apply a range of measurement techniques from last-click attribution to brand lift studies and marketing mix modelling (MMM) to evaluate content effectiveness across the Unilever Beauty & Wellbeing portfolio.
• Combine diverse data sources including the generation of content metadata to build a coherent actionable picture of performance that supports data-driven decision-making across creative and client teams.

Insight & Performance Optimisation:

• Analyse content performance data and translate findings into specific creative recommendations identifying opportunities to improve Gen AI-assisted output for Unilevers beauty brands across skincare haircare and wellness categories.
• Maximise in-platform audience insights including prompt recommendations and integrate external sources such as social listening search data and panel data to deepen audience understanding and inform creative output.
• Design and maintain performance dashboards for real-time content tracking providing the Maker Hub client service leads and BAIS stakeholders with clear up-to-date visibility of content performance across markets.
• Develop analytics solutions to unlock better creative output from applying pre-trained predictive models to building bespoke models in collaboration with data science colleagues where required.

Innovation & Capability Development:

• Explore and evaluate the emerging data analytics capabilities of Gen AI platforms leading innovation in content analytics and optimisation within the BAIS programme.
• Monitor developments in AI and data analytics identifying approaches that enhance the analytical capability of the Maker Hub and improve creative output for Unilevers beauty brands.
• Share analytical insights and performance learnings across the Maker Hub building a culture of evidence-led creative decision-making across creative production and strategy teams.

What you need to be great in this role:

Analytics & Measurement:

• Solid experience in data analytics and performance measurement with a track record of generating insights that improve content effectiveness.
• Demonstrated experience setting measurement frameworks for content across digital media social brand and metadata ideally within an FMCG beauty or consumer brand environment.
• Proficiency with a range of measurement techniques including attribution modelling brand lift studies and marketing mix modelling (MMM).
• Experience aggregating multiple data sources to evaluate content performance with the ability to work across structured and unstructured data.

Technical Proficiency:

• Hands-on experience with major LLMs and Gen AI tools for analytics data processing and insight development.
• Strong understanding of ad account setups platform metrics and how these drive content performance outcomes.
• Proficiency with social listening audience insight and research tools such as Brandwatch GWI or Audiense.
• Strong data storytelling skills able to communicate complex findings clearly to non-technical audiences including creative teams client service leads and senior Unilever stakeholders.

Ways of Working:

• Keen eye for detail and critical thinking able to evaluate data rigorously and translate findings into clear confident recommendations.
• Comfortable working in a fast-paced iterative environment where priorities shift and new challenges emerge regularly.
• Collaborative and open able to work effectively across creative production strategy and client service functions within the Maker Hub.
• Genuine curiosity about the intersection of data AI and creative production and how analytics can improve the quality and performance of beauty content.

Gen AI & Agentic Thinking:

• Proficiency with Gen AI tools relevant to analytics and insight work with experience building personal AI workflows to improve efficiency and output quality.
• Experience applying Gen AI tools to data processing insight generation or performance reporting tasks.
• Agentic approach to complex analytical challenges: able to break down multi-step problems identify efficient analytical paths and deliver clear outputs under time pressure.
• Ability to critically evaluate AI-generated outputs applying human judgement to ensure accuracy relevance and reliability of AI-assisted analysis.
• Proactive interest in how Gen AI capabilities are evolving within data and analytics with a track record of identifying opportunities to apply new tools and techniques to improve content performance.

Formal qualifications are welcome. Equivalent experience counts. Experience can be gained through work study volunteering or self-directed learning.

Ifyoureexcited about this role butdontmeet every requirement we encourage you to apply.

Ready to put data at the heart of what great Gen AI beauty content looks like Apply to the role with your CV & your portfolio and lets talk.

Req ID: 17067

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