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For Companies At a Glance
- Tasks: Join a dynamic team to analyze data and drive business performance.
- Company: Be part of a thriving retail business experiencing rapid growth.
- Benefits: Enjoy a hybrid work model and competitive salary with bonuses.
- Why this job: Make a real impact on decision-making and strategy in a collaborative environment.
- Qualifications: Strong SQL skills and experience with data analytics tools required.
- Other info: Opportunity for high visibility and influence across various business functions.
The predicted salary is between 33000 - 77000 £ per year.
Analytics Manager
Hybrid (3x a week in Birmingham)
£55,000-£60,000
An incredible opportunity to join a global financial services company as an Analytics Manager.
THE COMPANY
A well-known company, offering financial services, is seeking a driven Analytics Manager to build and execute strategies for the business. You will be working and managing a team of 4, being the first customer-based analytics team in the company.
THE ROLE
As an Analytics Manager, you’ll be responsible for building reports, presenting them to stakeholders, eventually using more advanced insight analytics. You will be managing a team of 4 analysts, primarily focusing on optimising customer services.
YOUR SKILLS AND EXPERIENCE
- Knowledge of reporting tools
- SQL
- Managerial experience
THE BENEFITS
- £55,000-£60,000
HOW TO APPLY
Please register your interest by sending your CV to Rina Raka at Harnham via the Apply link on this page
Analytics Manager employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager
✨Tip Number 1
Familiarize yourself with the latest trends in retail analytics. Understanding how data influences pricing, promotions, and trading can give you an edge in discussions during interviews.
✨Tip Number 2
Brush up on your SQL skills and practice creating visualizations in Power BI. Being able to demonstrate your technical abilities in these areas will show that you're ready to hit the ground running.
✨Tip Number 3
Prepare examples of how you've used data to drive business decisions in previous roles. Highlighting your experience in delivering actionable insights will resonate well with the hiring team.
✨Tip Number 4
Network with professionals in the retail analytics space. Engaging with others in the industry can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Analytics Manager
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Analytics Manager position. Understand the key responsibilities and required skills, especially focusing on data analytics tools and communication capabilities.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with data analytics, particularly in creating visualizations and using SQL. Provide specific examples of how you've used data to drive business decisions or improve performance.
Showcase Communication Skills: Since the role requires excellent communication and insight-delivery capabilities, make sure to demonstrate these skills in your application. Use clear and concise language, and consider including examples of how you've effectively communicated insights to stakeholders.
Tailor Your Application: Customize your CV and cover letter to align with the company's values and the specifics of the role. Mention your proactive approach to identifying opportunities through data, as this is a key aspect of the position.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analytics to drive business decisions. Highlight your experience with SQL and any tools you've used, especially Power BI, to create impactful visualizations.
✨Understand the Business Context
Research the retail business and its current market position. Be ready to discuss how your insights could influence pricing, promotions, and trading strategies, demonstrating your understanding of the industry.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to analyze hypothetical situations or past experiences. Practice articulating your thought process in identifying trends, opportunities, and risks, and how you would present these insights to leadership.
✨Emphasize Collaboration and Communication
Since the role involves cross-functional collaboration, be sure to highlight your teamwork experiences. Discuss how you've effectively communicated complex data insights to non-technical stakeholders in previous roles.
