Unilever
Fragrance
UFHDataProductAnalyst-Secondment
Neural analysis suggests this role is
optimal for Mid+ candidates.
“UFH Data Product Analyst - Secondment at Unilever. Skills: data product ownership, data analytics, data engineering, data architecture, data visualization. Own fragrance data products end-to-end during the secondment period, from data capture and integration through to analytics, dashboards and insight delivery.. Design and embed pragmatic data architecture, standards and governance for fragrance, formulation and sensory data.”
What You'll Achieve.
delivering tangible impact within a defined timeframe; building sustainable foundations that teams can continue to scale beyond the secondment; reducing manual effort and improving data quality; define and track high-value metrics; ensuring tools, dashboards and practices are well embedded by the end of the secondment
Industry & Context.
What They're Looking For.
Must Have
data analytics, data engineering, data architecture, data visualization, analytics products, modern data platforms, Data Transformation, SQL, Python, data governance practices
Nice to Have
FMCG, R&D, consumer product environments, laboratory data, formulation data, sensory data, consumer testing data
What You'll Do.
Own fragrance data products end-to-end during the secondment period
from data capture and integration through to analytics
dashboards and insight delivery.
Design and embed pragmatic data architecture
standards and governance for fragrance
formulation and sensory data.
Enable automated and scalable data capture
particularly from laboratory systems and digital lab tools
reducing manual effort and improving data quality.
Translate complex datasets into clear
decision-ready insights
working closely with R&D and business teams to define and track high-value metrics.
Act as a bridge between business and technology
partnering with Digital
IT and external providers to deliver analytics
AI and generative design capabilities.
Champion data adoption and literacy
dashboards and practices are well embedded by the end of the secondment.
How You'll Work.
Team & Collaboration
working closely with R&D and business teams; Act as a bridge between business and technology, partnering with Digital, IT and external providers
Communication Scope
communication; stakeholder-management
Full Job Description
**Job Title:** UFH Data Product Analyst - Secondment **Location:** Port Sunlight R&D, UK, or Mumbai HURC, India **Work Level:** 1RH5 / 1D **Want to Change The World?** Unilever is one of the world’s leading suppliers of Beauty, Personal and Home Care products selling in over 190 countries and used by 3.7 billion consumers every day. Unilever has more than 400 brands used in homes around the world, including Dove, Sure, TRESemmé, Sunsilk, Vaseline, Comfort, Persil and Surf. As one of the world’s largest users of fragrances, we recognise that creating exceptional fragrances is at the heart of delivering extraordinary consumer experiences and driving desire at scale. To achieve our ambition, Unilever Fragrance House is undertaking a global fragrance transformation, leveraging expert inhouse fragrance teams to craft unmissably superior fragrances for our Personal Care, Beauty & Wellbeing and Home Care Business Groups. **Role Purpose** This 13 month secondment offers a unique opportunity to play a pivotal role in accelerating data‑driven fragrance innovation at Unilever Fragrance House. Working at the intersection of R&D, Digital and IT, the UFH Data Product Analyst will shape how fragrance data is captured, structured and transformed into insight—delivering tangible impact within a defined timeframe. The role focuses on owning and maturing key data products that support fragrance creation, testing and optimization, while building sustainable foundations that teams can continue to scale beyond the secondment. **Key Responsibilities** · Own fragrance data products end‑to‑end during the secondment period, from data capture and integration through to analytics, dashboards and insight delivery. · Design and embed pragmatic data architecture, standards and governance for fragrance, formulation and sensory data. · Enable automated and scalable data capture, particularly from laboratory systems and digital lab tools, reducing manual effort and improving data quality. · Translat
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