At a Glance
- Tasks: Dive into data to uncover insights that shape marketing and product development.
- Company: Join PZ Cussons, a global FMCG leader with a passion for sustainability and consumer wellbeing.
- Benefits: Enjoy a flexible work environment with opportunities for collaboration in stunning offices.
- Other info: We celebrate diversity and inclusivity, welcoming applicants from all backgrounds.
- Why this job: Be part of a dynamic team that values innovation and diverse perspectives.
- Qualifications: No specific experience required; just a passion for data and storytelling.
The predicted salary is between 30000 - 42000 £ per year.
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PZ Cussons is a global, fast-moving consumer goods (FMCG) company, with office locations in the UK, US, Australia, Africa and Asia. Throughout our 135-year history, we have successfully adapted and evolved to the constantly changing consumer, market, and economic environments. Our diverse portfolio of brands can be found across four major categories: Personal Care, Beauty, Food & Nutrition, Home Care and Electricals.
We have a real passion for our employees, our consumers and our brands and we strive on creating moments of pleasure for everybody, every day. You will recognise some of our renowned, market-leading household names such as Carex, Childs Farm, Original Source and Imperial Leather.
If you want to join a business with dynamic, fast-paced working environment and a collaborative atmosphere whilst working flexibly but with the opportunity to collaborate in our stunning offices, then this could be the right role for you.
Key Duties and Responsibilities:
Proactive use of multiple data sources to create insight including:
- Market data – Future trends, cultural impacts and commercial trends
- Consumer – Behavioural measures such as Kantar, Nielsen, Mintel, Bespoke Qual & Quant work
- Shopper – behavioural data sources such as Dunnhumby & advantage, IGD and Bespoke Qual & Quant work
- A supportive role to help deliver mixed methodology insights projects with the Insights Manager – UK Lead as and when work required
Influencing business approach
- Creation of insight to shape marketing and R&D programmes through thorough report writing and communication of content
- Use of mixed methodologies to drive the best outcomes for insight derivation when supporting the team
- Finding the hidden insights across multiple data sources by creating a validated story and creating a clear action plan for the business based on the outputs
- Identifying gaps in understanding along the Path to Purchase and working with team and partner vendors to plan how to fill this understanding
CPG Experience
- Working within a fast-paced CPG environment that covers Grocery, Specialists and Online
- Working alongside Marketing, R&D and Cat Man to deliver innovation across product and marketing comms
- Working with marketing leading brands to enable growth from a leadership position as well as challenger brands
Ways of working
- Working in times of transition and demonstration of change management
- Team player and delivery of aligned goals across functions
- Empathetic approach to understanding diverse business questions
- Challenging and objective, using data to validate business orthodoxies
- Ability to simplify complex data sources into clear story telling – creating insight not data
- Turning multiple data points into demonstrable actions for the business
- Ability to present insight 1:1 as well as in group settings effectively
- Use of mixed methodologies to drive the best outcomes for insight derivation
- Understanding of the latest tech platforms and how to mine these for data
- Utilising multiple sources of data to tell the story
Team Player
- Ability to work in the team environment and raise the bar
- Ability to lead in cross functional teams
- Seen as a key contributor to the business and its insight creation
Please note that we are not able to offer visa sponsorship or assist with relocation support for this role. Applicants must have the right to work in the country where this role is located before applying.
At PZ Cussons, we value diversity and make sure everyone feels included. We want our team to reflect society and our global customers. We welcome applicants from all backgrounds and your unique perspective helps us develop brands and create new products for our consumers.
If you need extra support during this process, please inform us so that we can accommodate your needs appropriately. It is important to us that all candidates feel recognised and have a good experience with PZ Cussons as part of our commitment to inclusivity.
Seniority level
-
Seniority level
Associate
Employment type
-
Employment type
Full-time
Job function
-
Job function
Marketing
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Industries
Personal Care Product Manufacturing
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Insights Analyst in Manchester employer: PZ Cussons
PZ Cussons is an excellent employer that values innovation and collaboration, offering a dynamic work culture in the heart of Manchester. Employees benefit from professional growth opportunities, competitive remuneration, and a supportive environment that encourages creativity and strategic thinking. Join us to make a meaningful impact in the FMCG sector while enjoying the vibrant lifestyle that Manchester has to offer.
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We think this is how you could land Insights Analyst in Manchester
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We think you need these skills to ace Insights Analyst in Manchester
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PZ Cussons!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.