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Senior Category Insight Analyst

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Senior Category Insight Analyst
Senior Category Insight Analyst (Hybrid, Based in Lisbon)
The Change Partners are supporting a global leader in home wellness and sleep technology, seeking an ambitious Senior Category Insight Analyst for the Category Performance, Pricing & Market Intelligence team based in Lisbon.
With a "pricing-first" mindset, you will bridge complex data and strategic decision-making—driving portfolio decisions across the product lifecycle through actionable insights, frameworks, and data-led recommendations.
Key Responsibilities
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Category Performance Intelligence
- Design and lead global performance dashboards (collaborating with BI teams) to track revenue, margin, and NPS by SKU and channel
- Ensure insights are directly tied to commercial outcomes
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Pricing Architecture
- Develop and maintain global price ladders,-demand tiers, and trade-up logic for cross-market consistency
- Optimise portfolio coherence in related market segments
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Value Capture (Pricing Elasticity)
- Maintain and refine pricing elasticity models
- Conduct regular price-value assessments to align products with consumer-perceived value
- Mitigate margin erosion through data-driven judgments
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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Promotional Governance & ROI
- Set promotional guardrails and build tracking models to evaluate actual vs. planned financial impact
- Protect margin integrity for the brand
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Competitive Intelligence
- Own a structured framework to analyse rival pricing, product launches, and promotional activity across key geographic markets
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Market Intelligence & Growth Strategy
- Develop repeatable methodologies for market sizing and category growth analysis
- Identify high-growth opportunities and strategic risks
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Business Case Development
- Act as an analytical partner to Global and Regional Category Managers
- Build validated business cases for expansion, new product investments, and portfolio realignment
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Analytics Empowerment
- Create self-service dashboards and templates to empower the category team with faster, evidence-based decisions


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What We’re Looking For
Essential Requirements
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5–8 years of experience in pricing, analytics, insights management, or category performance within consumer goods, direct-to-consumer (DTC), or e-commerce
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Proven ability to design pricing frameworks, balancing pricing, perceived value, and margin in dynamic markets
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Highly analytical mindset with the ability to translate complex data into clear business decisions
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Solid technical foundation in:
- Statistical analysis: hypothesis testing, regression modelling
- Machine learning techniques: clustering methods (e.g. k-means)
- Data visualisation to present insights
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Hands-on experience building performance dashboards in Tableau, Power BI, or Looker
Nice to Have
- Working knowledge of Python (e.g. pandas, data cleaning, exploratory analysis)
- Background in life sciences, consumer tech, or wellness sectors preferred but not mandatory
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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