At a Glance
- Tasks: Transform campaign ideas into data-driven strategies using SQL and analytics.
- Company: Reputable UK organisation in insurance and financial services, focused on customer value.
- Benefits: Competitive salary, 17.5% bonus, and additional perks.
- Other info: Opportunity to work with modern data platforms and grow your career.
- Why this job: Join a dynamic team and make an impact with data-driven marketing.
- Qualifications: Strong SQL skills and experience with complex datasets required.
The predicted salary is between 45000 - 50000 £ per year.
This is an excellent opportunity to join a well-established organisation investing in its customer data and campaign capabilities. You will play a key role in delivering data-driven marketing activity while gaining exposure to modern data platforms, customer analytics, and advanced campaign optimisation.
They are a highly regarded UK-based organisation operating across insurance and financial services, with a strong reputation for customer‑centricity and long‑term value.
As a Customer Selections & Analytics Consultant you will sit within a specialist Customer Selections and Analytics team, working alongside SQL specialists and analytics professionals to deliver high-quality campaign selections and insights. Specifically, you can expect to be involved in the following:
- Translating campaign briefs into structured technical requirements.
- Building and executing customer selections using SQL.
- Joining and manipulating large datasets across CRM, transactional and behavioural data.
- Supporting campaign deployment via API integrations with CRM platforms.
- Partnering with analytics teams to support test-and-learn initiatives and performance measurement.
- Planning and delivering selections aligned to campaign timelines and business priorities.
- Communicating insights clearly to stakeholders to support data-driven decisions.
The successful Customer Selections & Analytics Consultant will have the following skills and experience:
- Strong SQL skills and experience working with complex datasets.
- Background in campaign selections, CRM data or customer analytics.
- Ability to translate business requirements into technical outputs.
- Exposure to data visualisation tools such as Power BI or similar is beneficial.
The successful Customer Selections & Analytics Consultant will receive the following benefits:
- Salary between £45,000 - £50,000 - depending on experience.
- A 17.5% bonus and other benefits.
Customer Selections and Analytics Consultant in Stratford-upon-Avon employer: Harnham
Join a highly regarded UK-based organisation in the insurance and financial services sector, where your role as a Customer Selections and Analytics Consultant will be pivotal in driving data-driven marketing initiatives. With a strong focus on customer-centricity, you will benefit from a collaborative work culture that encourages professional growth through exposure to modern data platforms and advanced analytics techniques. Enjoy a competitive salary, a generous bonus structure, and the opportunity to work alongside industry experts in a supportive environment that values innovation and long-term success.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Selections and Analytics Consultant in Stratford-upon-Avon
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We think you need these skills to ace Customer Selections and Analytics Consultant in Stratford-upon-Avon
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Harnham. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Harnham
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Harnham!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
