At a Glance
- Tasks: Analyse data to enhance marketing campaigns and drive revenue growth.
- Company: Thriving tech business in Northampton with a dynamic culture.
- Benefits: Competitive salary, bonus opportunities, and a collaborative work environment.
- Other info: Fast-paced environment with close collaboration with senior management.
- Why this job: Make a real impact by improving campaign effectiveness through data-driven insights.
- Qualifications: Degree educated with 5+ years of experience in digital analysis.
The predicted salary is between 40500 - 49500 £ per year.
Proximity Recruitment are searching for a talented, commercial Digital Analyst (circa £50,000 + Bonus) to join a thriving technology business in Northampton.
The overall aim of the Digital Analyst is to arm the marketing team and wider business with the data and recommendations needed to improve the effectiveness of campaigns through analysis, segmentation, research and profiling.
Responsibilities include
- Systematic reporting of campaigns and business trends to spot opportunities for improvement and therefore increased revenue.
- Segmentation to identify opportunities for effective personalised messaging with the aim of increased conversion.
- Customer research and profiling with the aim of improving the relevancy of messaging and therefore conversion.
- Proving the Head of Marketing, Marketing team and wider business with campaign analysis and market intelligence designed to improve the effectiveness of marketing campaigns.
- Replace ad-hoc analysis designed to answer specific one-time questions, with systematic monitoring.
- Gather information on all aspects of marketing campaigns, ensuring measurability is built into the campaign itself, with the aim or determining an ROI per channel and per campaign.
- This will typically involve collating information from email, social, direct mail and advertising channels.
- Work with the tech team to add tested and productive segmentation types to the CRM.
- Advise on targeting for digital advertising audiences.
You'd be working closely with Senior Management in a dynamic & fast-paced culture.
The role is 5 days a week in the offices in Northampton.
The successful Digital Analyst will be degree educated with over 5 years’ experience in this field.
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Digital Analyst in Northampton employer: Proximity Recruitment
Proximity Recruitment is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Ipswich. With a competitive salary and excellent benefits, employees are empowered to influence e-commerce strategies and engage in transformative digital projects, ensuring meaningful career growth and development opportunities.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analyst in Northampton
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Proximity Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Digital Analyst at Proximity Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Proximity Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Analyst at Proximity Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Digital Analyst in Northampton
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 Proximity Recruitment, 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 Proximity Recruitment. 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 Proximity Recruitment
✨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 Proximity Recruitment!
✨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.
