At a Glance
- Tasks: Lead data analytics to optimise digital marketing campaigns and mentor a talented team.
- Company: Dynamic Data & Insights team in Newcastle with a focus on innovation.
- Benefits: Competitive salary, professional development, and a collaborative work environment.
- Other info: Exciting opportunity for career growth in a fast-paced digital marketing sector.
- Why this job: Shape impactful marketing strategies and drive success for diverse clients.
- Qualifications: 2+ years in data analytics leadership, strong communication, and analytical skills.
The predicted salary is between 40500 - 49500 £ per year.
This is a fantastic opportunity for an experienced Data Analytics Lead to join and help shape a dynamic and growing Data & Insights team based in Newcastle.
As a senior member of the team, you'll play a pivotal role in managing key client accounts and supporting the professional development of analysts within the team.
You'll work with a diverse portfolio of clients across multiple sectors, collaborating with skilled digital professionals to deliver impactful marketing strategies powered by data insights.
Key Responsibilities Apply innovative data analytics methods to evaluate the performance of digital marketing campaigns against client objectives.
Analyse campaign outcomes and provide actionable recommendations to enhance effectiveness.
Interpret data patterns and trends to support strategic decisions in campaign planning and optimisation.
Design and execute A/B tests, analysing results to guide improvements.
Develop clear and engaging reports and dashboards to communicate insights to internal teams and clients.
Mentor and lead team members, support the leadership team, and contribute to thought leadership and knowledge sharing across the organisation.
Some of the requirements: At least 2 years' experience in a data analytics leadership role, preferably within a marketing or agency environment.
Strong knowledge of data visualisation tools and the ability to turn complex data into clear, compelling insights.
Proficiency in tools such as Google Analytics, Google Tag Manager, Looker Studio, Excel, and Hotjar or Microsoft Clarity.
A good grasp of marketing practices including SEO, Paid Media (Search, Social, Affiliate), CRO, OOH, and Brand Marketing.
Analytical thinking with a knack for spotting trends and opportunities.
Strong communication skills, both written and verbal, with the ability to present data insights to a wide range of audiences.
A keen eye for detail.
A passion for sharing knowledge and mentoring others.
For more information on this role, apply now!Location: Newcastle upon Tyne Tyne and Wear Newcastle upon Tyne NE12 8BXSalary:40000 - 50000Sector: Digital
- Marketing
- Type: Permanent
Digital Analytics Lead in Newcastle upon Tyne employer: Ronald James
As an Information Security Manager at our fast-growing B2B technology business, you'll thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to employee growth, ensuring you can advance your career while making a meaningful impact on our governance and compliance strategies. Join us in a location that fosters creativity and teamwork, where your expertise will be valued and your contributions will drive our success.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Analytics Lead in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
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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 Analytics Lead at Ronald James.
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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 Ronald James.
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We think you need these skills to ace Digital Analytics Lead in Newcastle upon Tyne
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 Ronald James, 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 Ronald James. 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 Ronald James
✨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 Ronald James!
✨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.
