GenAI Creative Optimisation Analyst | Beauty AI Studio

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), OLIVER's creative solution designed specifically for Unilever's 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 world's most iconic beauty brands, including Dove, TRESemmé, Pond's, and Simple. 

Based in the BAIS Maker Hub in India with a hybrid working arrangement, you'll 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 teams, you'll ensure the Maker Hub's 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 Analyst is responsible for measuring, evaluating, and optimising the performance of Gen AI-assisted content produced by the BAIS Maker Hub for Unilever's 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. 

You'll design 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 next. You'll work 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 Hub's 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-on proficiency with Gen AI and analytics tools, social listening platforms such as Brandwatch and 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 is advantageous, 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 Unilever's 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 Unilever's 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. 

If you're excited about this role but don't meet 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 let's talk. 

Req ID: 17067

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