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For Companies At a Glance
- Tasks: Lead transformative Data & Analytics solutions for Retail and CPG clients.
- Company: EPAM is a global leader in digital platform engineering, fostering innovation and inclusivity.
- Benefits: Enjoy perks like private medical insurance, gym discounts, and professional development opportunities.
- Why this job: Join a dynamic team driving impactful solutions in an entrepreneurial environment.
- Qualifications: Experience in Data & Analytics with strong client relationship skills; fluent German required.
- Other info: Work remotely and collaborate globally on exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
Description
ABOUT THE ROLE
Are you passionate about harnessing advanced Data & Analytics to build retailers and CPGs of the future? Are you an experienced leader in the Data & Analytics space, who enjoys solving complex consulting challenges and driving Data Analytics solutions? Are you hungry to thrive in an entrepreneurial environment? If so, then EPAM is looking for a Senior Data Analytics Consultant to join our rapidly expanding Data and Analytics Practice in UK. This position is a part of the Global Consumer Data and Analytics Consulting team including experts from many different sectors. The positions require a strong Data & Analytics consulting background with the ability to assist clients in defining their overall technology strategy and delivery.
Responsibilities
Requirements
Our Benefits Include
About EPAM
Data Analytics Consultant (Retail & CPG) employer: EPAM
Contact Detail:
EPAM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Consultant (Retail & CPG)
✨Tip Number 1
Familiarise yourself with the latest trends in Data Analytics, especially within the Retail and CPG sectors. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role and the industry.
✨Tip Number 2
Network with professionals already working in Data Analytics roles, particularly those in Retail and CPG. Attend industry events or webinars to connect with potential colleagues and learn about their experiences at EPAM.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully driven Data Analytics solutions in previous roles. Highlight your ability to build relationships with clients and how you've contributed to their growth through analytics.
✨Tip Number 4
Showcase your leadership skills by discussing any experience you have in guiding teams or projects. EPAM values candidates who can lead initiatives and drive results, so be ready to share relevant stories.
We think you need these skills to ace Data Analytics Consultant (Retail & CPG)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Analytics Consultant position. Tailor your application to highlight your relevant experience in Data & Analytics, especially within the Retail and CPG sectors.
Craft a Compelling CV: Your CV should clearly showcase your extensive experience in Data & Analytics. Include specific examples of how you've shaped transformational solutions and built client relationships. Use metrics to demonstrate your impact where possible.
Write a Strong Cover Letter: In your cover letter, express your passion for technology and the Retail/CPG industry. Highlight your visionary approach and how your skills align with EPAM's goals. Make sure to mention your ability to connect business challenges with analytics solutions.
Proofread and Edit: Before submitting your application, thoroughly proofread your documents. Check for any grammatical errors or typos, and ensure that your language is clear and professional. A polished application reflects your attention to detail.
How to prepare for a job interview at EPAM
✨Understand the Retail & CPG Landscape
Before your interview, make sure you have a solid grasp of the current trends and challenges in the Retail and Consumer Packaged Goods (CPG) sectors. This will help you demonstrate your industry knowledge and show that you're genuinely interested in the role.
✨Showcase Your Data Analytics Expertise
Be prepared to discuss specific projects where you've successfully implemented data analytics solutions. Highlight your ability to connect business challenges with analytical insights, as this is crucial for the role.
✨Demonstrate Leadership Skills
Since the position involves providing leadership in shaping data solutions, be ready to share examples of how you've led teams or projects in the past. Emphasise your experience in cultivating client relationships and driving growth.
✨Prepare for Technical Questions
Expect to face technical questions related to data analytics tools and methodologies. Brush up on your knowledge of relevant technologies and be ready to discuss how you've used them to solve complex problems in previous roles.
