At a Glance
- Tasks: Lead a team of analysts to drive customer insights and optimise CRM performance.
- Company: Join a leading retail organisation with a focus on data-driven decision making.
- Benefits: Competitive pay, mostly remote work, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace that values equality and respect.
- Why this job: Shape the future of customer analytics and make a real impact in retail.
- Qualifications: Experience in leading teams and strong skills in SQL and analytics platforms.
A leading Retail organisation is looking for an experienced Analytics Manager to join their Customer & Data function and lead a team of analysts driving customer, CRM and commercial insight across the business.
You'll take ownership of a team of 4 Analysts, helping shape the future of customer analytics, CRM performance and data-driven decision making.
The Role- Lead, coach and develop a team of 4 Analysts
- Build and mature the analytics capability, driving best practice across analysis, forecasting and insight delivery
- Drive CRM and customer performance through data-led recommendations and optimisation
- Lead complex customer analytics projects, translating business challenges into actionable insights
- Prioritise and manage a varied analytics backlog using Agile methodologies
- Partner with stakeholders across CRM, Marketing, Digital, eCommerce and Commercial functions
- Develop forecasting models, analytical tools and reporting frameworks to support strategic decision making
- Proven experience leading people/team
- Strong Retail, eCommerce or customer-focused industry experience
- Advanced SQL skills and experience working with large, complex datasets
- Experience delivering commercial insights that drive measurable business outcomes
- Hands-on experience with cloud-based analytics platforms such as Databricks, Snowflake, Redshift or Google BigQuery
- Strong stakeholder management and communication skills, with the ability to influence senior business leaders
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.
If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Analytics Manager in Hampshire employer: Sanderson Recruitment
Join a leading retail organisation that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact customer insights and business performance. With a focus on employee growth, you'll have the opportunity to lead and develop a talented team while working mostly remotely, enjoying the flexibility of just two days onsite per month in Hampshire. Embrace a diverse and inclusive environment that champions respect and equality, ensuring you feel supported and empowered throughout your career journey.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager in Hampshire
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Analytics Manager in Hampshire
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Analytics Manager at Sanderson Recruitment, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Sanderson Recruitment.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Sanderson Recruitment
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
