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For Companies At a Glance
- Tasks: Analyze marketing campaigns and develop predictive models to drive insights.
- Company: Join a dynamic team focused on retail insights and data-driven strategies.
- Benefits: Enjoy a hybrid work environment with competitive day rates.
- Why this job: Be part of an exciting project that impacts marketing strategies and customer engagement.
- Qualifications: Experience in campaign analysis, SQL, Python/R, and data visualization tools required.
- Other info: This is a 3-month contract role, outside IR35.
Senior Insight Analyst
Working Pattern – 2 days per week in the Brighton office
Salary £50,000 to £60,000
Animo Group has partnered with a fast-growing global platform award-winning business based in Brighton.
You will be joining a scale-up who have a huge focus on sustainability and DEI as part of their culture.
This is a great opportunity for an experienced Senior Insight Analyst to build customer and marketing analytics from the ground up.
The role:
- Working as part of the Data & Analytics team, you will be responsible for creating and driving analytics for marketing campaigns across all channels.
- You will work with large data-sets across campaign performance, customer segmentation and recommendations.
- Work closely with the marketing team providing insight in customer behaviour and customer LTV.
- Creating dashboards and providing insight and data storytelling to senior stakeholders in the business.
What we are looking for:
- Stakeholder management at all levels up to CxO.
- Ability to provide insight, and recommendations and tell the story behind the data.
- Previous experience of working with customer and marketing data.
Technical Skills:
- SQL
- Tableau or similar
- Web Analytics Tools; Google Analytics (GA4)
- A/B testing
Senior Insight Analyst employer: Animo Group
Contact Detail:
Animo Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Insight Analyst
✨Tip Number 1
Make sure to showcase your experience with campaign analysis and predictive modeling in your conversations. Highlight specific projects where you've successfully measured effectiveness and ROI, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in retail analytics. Being able to discuss current market trends and how they impact customer behavior can set you apart during interviews.
✨Tip Number 3
Prepare to demonstrate your technical skills in SQL, Python/R, and data visualization tools like Tableau or Power BI. Consider bringing examples of dashboards or reports you've created to illustrate your capabilities.
✨Tip Number 4
Network with professionals in the retail analytics space. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Senior Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in campaign analysis, predictive modeling, and A/B testing. Use specific examples that demonstrate your technical skills with SQL, Python/R, and data visualization tools like Tableau or Power BI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for driving actionable insights and how your previous experiences align with the responsibilities of the Insight Analyst role. Mention your understanding of customer data in a retail or e-commerce setting to strengthen your application.
Showcase Your Analytical Skills: Provide concrete examples of how you've used analytical techniques in past roles. Discuss any successful marketing campaigns you've analyzed and the impact of your insights on business decisions.
Highlight Technical Proficiency: Clearly list your technical skills related to the job description, such as your proficiency in SQL, Python/R, and experience with data visualization tools. This will help demonstrate that you have the necessary expertise for the role.
How to prepare for a job interview at Animo Group
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python/R, and data visualization tools like Tableau or Power BI. Be prepared to discuss specific projects where you've utilized these skills to drive insights.
✨Discuss Campaign Analysis Experience
Prepare examples of past marketing campaigns you've analyzed. Focus on how you measured effectiveness and ROI, and be ready to explain the methodologies you used for your analysis.
✨Demonstrate Predictive Modeling Knowledge
Be ready to talk about your experience with predictive modeling. Discuss any models you've developed, the data you used, and how those models helped forecast customer behavior or trends.
✨Prepare for A/B Testing Scenarios
Think of specific A/B testing scenarios you've conducted. Be prepared to explain your approach, the results you achieved, and how you used those insights to inform marketing strategies.
