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- Tasks: Transform complex data into engaging insights that drive sales performance.
- Company: Join Philip Morris, a global leader in consumer goods with a mission for smoke-free products.
- Benefits: Enjoy competitive salary, generous leave, and access to personal development resources.
- Why this job: Make a real impact by guiding sales teams with your analytical skills.
- Qualifications: Comfortable with numbers, Excel, SQL, and eager to learn new tools.
- Other info: Be part of an inclusive culture that values growth and collaboration.
The predicted salary is between 36000 - 54000 £ per year.
Overview
Location: Home based (with occasional travel to meetings)
Contract: Permanent, Full Time
Salary: Up to £45k per annum including a performance related bonus
Do you enjoy turning complex data into meaningful stories? Philip Morris International (PMI) is a global leader in consumer goods, working towards a future where smoke-free products replace cigarettes for adult smokers who would otherwise continue to smoke. At Wave, we proudly support this mission through a skilled and diverse field sales operation — and we are excited to welcome someone who can enhance our insight and reporting capabilities. If you are passionate about working with data, curious about uncovering patterns, and confident in translating numbers into clear, actionable insights, this role may be a great fit for you. You’ll be at the centre of the PML programme, helping ensure our sales teams are informed, empowered, and equipped to deliver high-quality results. This is an excellent opportunity for someone who wants to develop their analytical career in a supportive, collaborative and inclusive environment.
What you will be doing
As an Insights Analyst, you will play a key role in enabling the PML field sales team to deliver their best work across Grocery retail. Your insight will help guide activity, measure performance, optimise execution, and demonstrate the impact of the team. You will:
- Deliver punctual, accurate and engaging reporting to the PML Account Controller, National Development Manager, Regional Managers and Territory Managers.
- Integrate multiple datasets — including EPOS data (DART), execution data (AFS), and internal systems — into a clear and accessible reporting suite.
- Analyse complex data to identify meaningful trends, opportunities and areas for improvement.
- Present insights in an inclusive and accessible way, using strong storytelling to engage a variety of audiences.
- Work collaboratively with colleagues across Wave, including the Sales Operations and Thumbprint teams, to manage EPOS data within the Avidity SFTP environment.
- Take part in PML client meetings, sharing insights that inform strategic discussions and highlight the value of the field team.
- Produce field performance reports that support managers in guiding and developing their teams.
- Use advanced analytics techniques, including machine learning where appropriate, to help predict and optimise future performance.
Your contribution will directly support the PML sales team in delivering consistent execution, building strong store relationships, ensuring planogram compliance and driving incremental sales growth.
Do you have what it takes? We’d love to hear from you if you:
- Are comfortable working with numbers and enjoy solving analytical challenges.
- Are curious, open-minded and motivated to understand the “why” behind the data.
- Have experience using Excel and SQL, with interest or experience in PowerBI or similar tools.
- Can work with large datasets, cleansing and transforming them into useful insights.
- Communicate clearly and respectfully, adapting your style for different audiences.
- Feel confident creating compelling presentations that bring data to life.
- Can manage multiple priorities and deadlines in a positive and organised way.
- Are proactive, self-motivated and enthusiastic about learning.
Experience in customer analytics, BI, or data science is welcomed but not required.
What’s in it for you?
At Wave, part of the Avidity Group, we believe that people are at the heart of what we do. We’re committed to creating an inclusive workplace where everyone feels valued, supported and empowered to grow. You’ll benefit from:
- 25 days annual leave (pro rata) plus public holidays
- Annual leave purchase scheme
- Company laptop, mobile
- Life Assurance
- Access to discounted private healthcare
- Company pension scheme
- Family-friendly policies, including enhanced maternity and paternity pay
- Access to our Employee Perks portal (retail discounts, gym memberships, leisure activities & more)
- Opportunities to join Group Taskforces (D&I, Community, Sustainability, Mental Health & Wellness)
- Personal development through our ‘Byte’ learning platform
- 24/7 Employee Assistance Programme
- A supportive, values-led, inclusive culture
This role offers great potential to develop your career within Wave.
Insights Analyst employer: Avidity
Contact Detail:
Avidity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insights Analyst
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Philip Morris or similar companies on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by practising your storytelling skills. We want to showcase how you turn complex data into actionable insights. Use real examples from your past experiences to illustrate your points.
✨Tip Number 3
Show off your analytical skills during the interview! Be ready to discuss how you've used tools like Excel or SQL to solve problems. We love seeing candidates who can think critically about data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who align with our mission.
We think you need these skills to ace Insights Analyst
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data shine through! Share specific examples of how you've turned complex data into actionable insights in the past. We want to see that you’re not just skilled, but genuinely excited about what you do.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with the Insights Analyst role. Use keywords from the job description to demonstrate that you understand what we’re looking for. This shows us you’ve done your homework!
Be Clear and Concise: We appreciate clarity! When presenting your experiences and skills, keep it straightforward and to the point. Avoid jargon unless it’s relevant, and make sure your storytelling is engaging. Remember, we want to see how you can communicate insights effectively.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values while you’re at it.
How to prepare for a job interview at Avidity
✨Know Your Data
Before the interview, brush up on your data analysis skills. Be ready to discuss how you've turned complex datasets into actionable insights in the past. Think of specific examples where your analytical skills made a difference.
✨Master the Art of Storytelling
Since this role involves presenting insights, practice how you can turn numbers into engaging stories. Prepare a few anecdotes that showcase your ability to communicate complex information clearly and effectively to different audiences.
✨Familiarise Yourself with Tools
Make sure you're comfortable discussing Excel, SQL, and any experience you have with PowerBI or similar tools. If you’ve used advanced analytics techniques or machine learning, be prepared to share how you applied them in real-world scenarios.
✨Show Your Curiosity
Demonstrate your curiosity about data by asking insightful questions during the interview. This shows that you're not just interested in the role but also eager to understand the 'why' behind the data, which is crucial for an Insights Analyst.
