At a Glance
- Tasks: Support CRM data operations and ensure data accuracy in HubSpot.
- Company: EMJ Reviews, a dynamic London-based company focused on data integrity.
- Benefits: Hybrid work schedule, hands-on experience, and collaborative team environment.
- Other info: Join a supportive team dedicated to effective decision-making and data health.
- Why this job: Gain valuable insights and skills while contributing to impactful marketing campaigns.
- Qualifications: Experience with data management and a passion for analytics.
The predicted salary is between 47181 - 52413 £ per year.
EMJ Reviews, based in London, is seeking a Data Executive to support the CRM data operations, ensuring data accuracy and usability within HubSpot and related tools. You will work with Marketing to build targeted lists, dashboards, and data hygiene tasks, gaining hands-on experience with data workflows that underpin campaigns and business insights.
Join a collaborative team focused on data health, integrity and effective decision making across the organisation during a hybrid 8:30–5 schedule.
CRM Data Specialist — HubSpot & Campaign Insights employer: EMJ Reviews
At EMJ, we pride ourselves on being an excellent employer that values curiosity and collaboration. Our London/Moorgate office offers a vibrant work culture where recent graduates can thrive, gaining hands-on experience in CRM data operations while enjoying comprehensive training and development opportunities. With a focus on maintaining data integrity and supporting impactful marketing campaigns, you'll be part of a dedicated team that prioritises personal growth and shared values.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Data Specialist — HubSpot & Campaign Insights
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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 EMJ Reviews.
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We think you need these skills to ace CRM Data Specialist — HubSpot & Campaign Insights
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 EMJ Reviews, 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 EMJ Reviews. 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 EMJ Reviews
✨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 EMJ Reviews!
✨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.
