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For Companies At a Glance
- Tasks: Engage with clients, manage relationships, and deliver analytics projects using tools like Google Analytics.
- Company: Join a rapidly growing agency known for transforming data strategies for major brands.
- Benefits: Enjoy flexible hours and a vibrant work environment that supports professional growth.
- Why this job: This role blends technical skills with consultancy, perfect for those eager to make an impact.
- Qualifications: 5+ years in analytics, 3+ years in client consultancy, and strong knowledge of web analytics tools required.
- Other info: Ideal for those who thrive in fast-paced environments and seek career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Data Analytics Manager with extensive experience in consultancy and data analytics to work with existing clients in the Retail and Healthcare sectors for a rapidly growing enterprise-level agency.
The company has experienced exponential growth through excellent client relations with major brands, transforming and implementing new data strategies and analytics. Using creative and agile methods, they facilitate digital transformation, with consultants playing a key role in unlocking data value to enhance operational effectiveness.
Your primary focus will be client-facing, ensuring project delivery and managing client relationships. You will assess future needs and identify how the agency can best support clients. There is also a hands-on component involving analytical tools like Google Analytics for project work.
Your Skills and experience:
- Over 5 years in a commercial analytics environment
- More than 3 years in client reporting and consultancy
- Strong technical background in web analytics tools such as Google Analytics and Adobe Analytics
- Excellent communication skills and ability to understand business needs
- Good knowledge of business strategy
If you thrive in a fast-paced, client-facing environment working on enterprise projects, this role offers a blend of technical implementation and consultancy, providing opportunities for career growth and skill development. The company offers flexible hours and an energetic work environment conducive to professional advancement.
Digital Analytics Consultant (Google Analytics, Adobe Analytics, SQL, Python) employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Analytics Consultant (Google Analytics, Adobe Analytics, SQL, Python)
✨Tip Number 1
Familiarise yourself with the specific analytics tools mentioned in the job description, like Google Analytics and Adobe Analytics. Consider taking online courses or certifications to deepen your understanding and showcase your commitment to mastering these platforms.
✨Tip Number 2
Network with professionals in the digital analytics field, especially those who work in consultancy roles. Attend industry events or join relevant online communities to connect with potential colleagues and learn more about the company culture.
✨Tip Number 3
Prepare for client-facing scenarios by practising your communication skills. Role-play common client interactions or presentations to build confidence in articulating complex data insights in a clear and engaging manner.
✨Tip Number 4
Stay updated on the latest trends in digital analytics and data strategy, particularly within the retail and healthcare sectors. This knowledge will not only help you during interviews but also demonstrate your proactive approach to understanding the industry.
We think you need these skills to ace Digital Analytics Consultant (Google Analytics, Adobe Analytics, SQL, Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Google Analytics, Adobe Analytics, SQL, and Python. Use specific examples from your past roles that demonstrate your skills in data analytics and consultancy.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Digital Analytics Consultant role and how your background aligns with the company's needs. Mention your experience in client-facing roles and your ability to enhance operational effectiveness.
Showcase Relevant Projects: Include details of specific projects where you've successfully implemented data strategies or analytics tools. Highlight any measurable outcomes that resulted from your work, especially in the Retail or Healthcare sectors.
Highlight Communication Skills: Since excellent communication is key for this role, provide examples of how you've effectively communicated complex data insights to clients or stakeholders. This will demonstrate your ability to understand and meet business needs.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Make sure to highlight your experience with Google Analytics, Adobe Analytics, SQL, and Python during the interview. Prepare specific examples of how you've used these tools in past projects to drive results for clients.
✨Understand the Client's Needs
Research the company and its clients in the Retail and Healthcare sectors. Be ready to discuss how you can assess their future needs and provide tailored solutions that enhance operational effectiveness.
✨Demonstrate Strong Communication Skills
Since this role is client-facing, practice articulating complex data insights in a clear and concise manner. Show that you can bridge the gap between technical data analysis and business strategy.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles and how you successfully navigated them, particularly in consultancy settings.
