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- Tasks: Design and launch a global reporting framework to transform customer data.
- Company: Join Ligentia, a dynamic company revolutionising customer data insights.
- Benefits: Flexible work environment, collaborative culture, and opportunities for growth.
- Why this job: Make a real impact in a fast-paced industry with leading brands.
- Qualifications: Experience in data analysis, SQL proficiency, and knowledge of AI/ML tools.
- Other info: Be part of a team that values innovation and strategic thinking.
The predicted salary is between 28800 - 48000 £ per year.
Join Ligentia! We’re on a mission to move away from fragmented, manual reporting and create a standardised, global "single source of truth" for customer data. We’re looking for two adaptable and dynamic analysts to join our Global Customer Team; these are high-impact roles where you will design and launch our first global reporting framework. Your expertise will transform our data landscape, automating complex processes and empowering our Customer Experience teams to shift their focus from manual data entry to high-value strategic growth and customer retention.
While both roles share a core mission, we are looking for specialists in two key areas:
- Functional/Operational: Focused on deep-dive data interrogation, trend analysis, and uncovering the meaningful story behind the numbers.
- UI/UX Design: Focused on creating an exceptional user experience - building high-end, customer-facing dashboards and mastering the art of visual storytelling.
Your Role:
- Global Alignment: Implement standardised dashboards and KPI frameworks across the UK, Australia, Poland and the Netherlands within your first 12 months.
- Data Integrity: Serve as the strategic lead for data requests to ensure global consistency and promote efficient, automated reporting habits.
- Innovation: Provide actionable recommendations and strategic thinking.
Desirable:
- Knowledge of supply chain/logistics KPIs.
- Proficiency in SQL for data extraction and transformation.
- Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker.
Why Ligentia? Why now?
- Accelerated growth in one of the most dynamic industries you can imagine.
- Brilliant customers including some of the world’s leading retailers and best-known brands.
- A tech vision and roadmap that will turn heads for all the right reasons.
- Colleagues with high commitment and unrivalled knowledge, combined with low ego.
- A flexible work environment that is collaborative, stimulating and shares genuine feelgood for the work we do together.
However you look at it, Ligentia is a great place to be right now. Ready to join us? Apply now!
Customer Data Insights Analyst employer: Ligentia
Contact Detail:
Ligentia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Insights Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at Ligentia on LinkedIn or other platforms. Ask them about their experiences and the company culture. This not only shows your interest but can also give you insider info that might help you stand out in interviews.
✨Tip Number 2
Prepare for the interview by diving deep into the role. Understand the key responsibilities, especially around data integrity and reporting frameworks. We recommend creating a few examples of how you've tackled similar challenges in the past to showcase your skills.
✨Tip Number 3
Show off your analytical skills! During interviews, be ready to discuss specific tools and methodologies you’ve used, like SQL or AI/ML tools. We want to see how you can bring innovation to the table and improve processes at Ligentia.
✨Tip Number 4
Don’t forget to express your passion for customer experience! Highlight how your work can empower teams and drive strategic growth. We love candidates who can connect the dots between data and real-world impact, so make sure to share your vision!
We think you need these skills to ace Customer Data Insights Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Customer Data Insights Analyst. Highlight your experience with data interrogation and any relevant tools like SQL or AI/ML technologies. We want to see how you can bring value to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about transforming data landscapes and how your skills align with our goals. Keep it engaging and personal – we love a bit of personality!
Showcase Your Achievements: When detailing your past roles, focus on specific achievements that demonstrate your ability to automate processes and improve data integrity. Numbers speak volumes, so if you’ve made a significant impact, let us know!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re in!
How to prepare for a job interview at Ligentia
✨Know Your Data Inside Out
Before the interview, dive deep into the types of data Ligentia handles. Familiarise yourself with supply chain and logistics KPIs, as well as how they impact customer experience. This will show your genuine interest and understanding of the role.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used SQL or other tools for data extraction and transformation. Bring along a portfolio or examples of dashboards you've created, especially if they demonstrate your ability to tell a compelling story through data.
✨Emphasise Collaboration and Innovation
Ligentia values a collaborative environment, so be ready to talk about how you've worked in teams to implement innovative solutions. Share instances where your recommendations led to improved processes or outcomes, highlighting your strategic thinking.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of Ligentia's mission and the role. Inquire about their current reporting frameworks or how they envision the future of customer data insights. This shows you're not just interested in the job, but also in contributing to their vision.