At a Glance
- Tasks: Manage and improve our CRM platform, ensuring data quality and optimising processes.
- Company: Join Hydrogen Group, a purpose-driven company focused on innovation and growth.
- Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
- Other info: Great opportunity for early-career professionals to grow into advanced roles.
- Why this job: Be at the forefront of CRM, data, and AI, making a real impact in a growing field.
- Qualifications: 2-3 years Salesforce experience, strong analytical skills, and a passion for AI.
The predicted salary is between 30000 - 40000 £ per year.
- CRM and Data Analyst
- About Hydrogen
At Hydrogen Group, our purpose is enabling you to thrive in a changing world, that includes our clients, candidates, and our own people.
As a CRM and Data Analyst, you’ll be a catalyst for this mission, helping us build a robust, responsive platform that empowers our teams to work smarter, adapt faster, and deliver more for our clients and candidates.
This is your chance to contribute to a business that places purpose at the heart of everything we do.
We're looking for someone who enjoys solving problems, improving systems and is excited by the opportunity to work at the intersection of CRM, data and AI.
This is an ideal role for someone early in their career who wants to grow beyond Salesforce administration into platform optimisation, automation, data and AI.
The Role
You'll take ownership of the day‑to‑day running and continuous improvement of our Platform ecosystem, helping ensure our CRM, data and AI tools remain reliable, well maintained and continually evolving.
Working closely with our Platform, Change and Sales teams, you'll help optimise existing systems, improve data quality, automate manual processes and support the rollout of new platform and AI capabilities across the business.
As our use of AI grows, you'll also play an important role in maintaining, improving and supporting the solutions we build, while continually looking for opportunities to use AI to improve the way we work.
You will work alongside our CRM Manager, who leads platform architecture, complex technical delivery and our strategic AI initiatives.
You run the operation; together you improve it.
- What you will be responsible for
- Day‑to‑day platform administration and support: user and licence management, Salesforce configuration changes, and first‑line troubleshooting for consultants across our offices.
- Data quality and integrity. Find root causes of bad data, fix them at source, and ensure our data is fit for reporting and for the AI tools that consume it.
- Delivering platform enhancements. Work with end users to understand their needs, translate into scalable configuration, test it, and communicate changes clearly.
- Operational ownership of our BI, data and AI solutions once they go live: monitoring, resolving issues, and keeping them trusted by the business.
- Spotting where teams use our systems inconsistently or lose time to manual work, then using AI and automation to close the gap.
- Automating your own workload. Every hour saved with AI adds capacity for broader platform, data, and AI work—this is the growth path built into the role.
- What success looks like
- The platform runs day to day with clear operational ownership and without escalation.
- Data quality improves measurably, and reporting and AI outputs are trusted as a result.
- Our BI and AI solutions are stable, supported and used.
- Capacity through automation to take on bigger projects is created.
- What you will need
- 2–3 years of hands‑on Salesforce administration experience, ideally with Sales Cloud.
- A strong analytical mindset, with experience building reports and dashboards.
- Knowledge of SQL.
- A genuine interest in AI and emerging technology, with examples of AI tools you already use in your own work.
- Clear communication and the ability to build trust with end users; you will be the first point of contact for the platform across our global offices, with part of your day overlapping UK hours.
- Useful but not essential: Bullhorn for Salesforce or Talent Rover, Looker, Big Query or dbt, Broadbean, and Own Backup.
- Where this role goes
This is an early‑career role with a defined path into a broader Platform and AI position.
As you automate the routine parts of the job, you will take on more of the data, AI and platform delivery work that sits behind our strategy.
#J-18808-Ljbffr
CRM and Data Analyst - UK - England in London employer: Hydrogen UK Ltd
Hydrogen UK Ltd is an excellent employer, offering a dynamic work environment that fosters innovation and collaboration. With the flexibility of hybrid working, employees enjoy a healthy work-life balance while contributing to critical security initiatives. The company prioritises professional growth, providing opportunities for skill enhancement and career advancement in the rapidly evolving field of cybersecurity.
StudySmarter Expert Advice🤫
We think this is how you could land CRM and Data Analyst - UK - England in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Hydrogen UK Ltd when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Hydrogen UK Ltd.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Hydrogen UK Ltd.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Hydrogen UK Ltd’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace CRM and Data Analyst - UK - England in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Hydrogen UK Ltd, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Hydrogen UK Ltd aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Hydrogen UK Ltd
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!