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- Tasks: Generate insights from data to enhance customer satisfaction and revenue performance.
- Company: Join a premium automotive brand with a focus on innovation and data-driven decisions.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: Strong analytical skills, project management experience, and proficiency in data visualisation tools.
- Other info: Collaborative team culture with a focus on personal development and career advancement.
The predicted salary is between 25 - 40 £ per hour.
Our premium brand Automotive client is currently recruiting for the following role:
The Business Performance Intelligence function within the Global Customer Care team has enabled a strong data capability model across the organisation to leverage data driven decision making across all aspects of Parts and Accessories Revenue performance and Customer Satisfaction. The role is part of the Retail Performance Intelligence team, our aim is to integrate data-driven insight into our operations to drive highly bespoke and predictive customer service.
Key Accountabilities and Responsibilities:
- Insight generation. You will have access to a strong pool of information based on the outputs of 1700 retailers worldwide. You will set the way we generate insights from our existing data capabilities in the Retail Performance Intelligence (RPI) team.
- In order to be successful in this task, you will possess the ability to combine data from multiple sources to generate new insights, identifying correlations of events/activities to be able to inform future action plans at retailer and market level.
- Your colleagues in the RPI team will also benefit from your insight generation capabilities. You will develop intelligence briefs for the team based primarily on our internal Retailer Benchmarking tool.
- Customer Retention analytics. You will own the calculation of the retention metric as part of your insight generation responsibilities. Your methodical and collaborative approach combined with attention to detail, will enable you to achieve global consistency on developing this metric.
- Product development. As the RPI Intelligence lead, you play an integral part not only understanding the data insights but also how the users interact with the data generation products. You will have full ownership of the Ideas hopper generated through the feedback from Regions and Markets globally and/or by colleagues across the business.
- Project Management experience is required to ensure a methodical approach towards an on-time delivery of stakeholder requirements, advancement of data capabilities with retail transactional data and facilitation of integration activities to ensure improvements on user journey integrations across the business.
- Other tasks: Monitoring, reporting and provision of trends and achievements at market level.
Key Performance Indicators:
- Insight generation. Identification of data-driven insights and opportunities with the aim to drive Revenue and Customer Satisfaction in market and at regional level.
- Quarterly development of opportunities via the Intelligence tools/funnel to be shared with Retail Performance Intelligence team.
- Document and cascade Market feedback for product and intelligence requirements.
- Identification of intelligence best practice based on results from agreed opportunities and presentation to relevant forums.
- Develop roadmap to achieve insight generation based on transactional data.
- On time Retention reporting and insight generation enhancement of the metric.
- Product ownership. Identification and documentation of opportunities to simplify tools and processes i.e. low performing activities and presentation to relevant forums.
- Ultimate success measure is P&A revenue and customer satisfaction improvement for identified underperforming Retailers.
Knowledge, Skills and Experience:
Essential:
- Good interpersonal skills with the ability to form and maintain strong relationships both across functions and in Regions and Markets globally.
- Experience of delivering results through cross-functional working.
- Skilled communicator with the ability to communicate complex concepts.
- Project management skills.
- Results orientated and organised with the ability to plan and deliver against deadlines and the ability to motivate others to deliver.
- Business analytics - knowledge of technologies, techniques and practices to manage complex datasets, analyse trends and summarise key messages and recommendations.
- Data visualization - knowledge of the tools and techniques for visualising business insights and information, able to create graphs, tables, images that relay the message clearly to the target audience. Knowledge of key tools such as Tableau.
- Sound understanding of Retailer processes acquired through Automotive or Luxury retail experience.
- Development of customer centric user stories aligned to product features and products.
- Excellent attention to details and an eye for Tableau dashboard artistry (use of colour, contrast, page layout, interactivity) and innovative visuals.
- Previous experience and knowledge of various data management tools (i.e. Big Query / EDW).
Desirable:
- Agile delivery background with working knowledge of JIRA Project Management experience.
- Understanding of predictive profiling.
- Working understanding of Tableau, Anaplan, SQL, Google BigQuery.
- An individual with the ability to challenge existing thinking in a positive way whilst building credibility and trust through experience and personal style.
This role is on a contract basis and is Inside IR35. The working pattern is 2 days in the office per week in Coventry. The role is 12 months for maternity cover.
Senior Analyst - Retailer Performance Intelligence in Coventry employer: Premea
Contact Detail:
Premea Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst - Retailer Performance Intelligence in Coventry
✨Tip Number 1
Network like a pro! Reach out to your connections in the automotive and retail sectors. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews! Research the company and its data capabilities. Be ready to discuss how you can leverage your skills in business analytics and project management to drive insights and improve customer satisfaction.
✨Tip Number 3
Show off your data visualisation skills! Bring examples of your Tableau dashboards or any other relevant work to the interview. This will demonstrate your ability to communicate complex concepts clearly and effectively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our brand. Let’s get you that Senior Analyst role!
We think you need these skills to ace Senior Analyst - Retailer Performance Intelligence in Coventry
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data analytics and project management. We want to see how your skills align with the role of Senior Analyst - Retailer Performance Intelligence, so don’t hold back!
Showcase Your Insights: When detailing your past experiences, focus on specific examples where you generated insights from data. We love seeing how you've used data to drive decisions and improve customer satisfaction, so make those stories shine!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain complex concepts, as this will demonstrate your communication skills. Remember, we’re looking for someone who can relay insights effectively!
Apply Through Our Website: We encourage you 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’s super easy to do!
How to prepare for a job interview at Premea
✨Know Your Data
As a Senior Analyst, you'll be expected to handle complex datasets. Brush up on your data management skills and be ready to discuss how you've used data to generate insights in the past. Familiarise yourself with tools like Tableau and Google BigQuery, as they might come up during the interview.
✨Showcase Your Project Management Skills
This role requires a methodical approach to project management. Prepare examples of how you've successfully managed projects in the past, particularly those that involved cross-functional teams. Highlight your ability to meet deadlines and motivate others to achieve results.
✨Communicate Complex Concepts Clearly
You'll need to explain intricate data insights to various stakeholders. Practice articulating complex ideas in simple terms. Consider preparing a brief presentation or visualisation that demonstrates your ability to convey information effectively, especially using data visualisation techniques.
✨Build Relationships
Interpersonal skills are key for this role. Think about how you've built strong relationships in previous positions, especially across different functions. Be ready to share specific examples of how these relationships have helped you achieve business objectives or improve customer satisfaction.
