At a Glance
- Tasks: Become our HubSpot data guru, improving systems and automating processes.
- Company: Join Pod, a leading EV charging provider committed to a sustainable future.
- Benefits: Enjoy flexible working, generous holiday, and wellness perks.
- Why this job: Make a real impact in the green energy sector while developing your data skills.
- Qualifications: Strong data skills, experience with SQL and HubSpot, and a problem-solving mindset.
- Other info: Dynamic team culture with opportunities for growth and innovation.
The predicted salary is between 39000 - 52000 ÂŁ per year.
Pod is one of the UK’s leading EV charging providers, trusted by more than 250,000 customers and powering over five million electric miles every single day. Behind these numbers is a dedicated team working together to build a cleaner, smarter and more sustainable energy future. As part of the EDF family, the UK’s largest generator of zero carbon electricity, we have the scale and stability to grow with confidence while continuing to innovate. We partner with major automotive brands, national homebuilders and some of the UK’s biggest retailers to deliver smart charging solutions that support drivers, balance the grid and make clean energy accessible for all. Our mission is simple, to manage the flow of energy in a way that benefits both people and the planet. If you want to join a purpose driven organisation where Truth, Edge and Care shape how we work, we’d love to meet you.
This is a brilliant opportunity for somebody who loves solving data problems, improving systems, and making people’s work easier through automation. You’ll become our HubSpot data specialist, the person people turn to when something needs to be understood, fixed, automated, or improved.
Responsibilities
- HubSpot Ownership & Data Quality: you’ll serve as a HubSpot “power user/admin partner” supporting data quality, schema consistency, and reporting enablement, including:
- Manage data imports, migrations, deduplication, and field mapping, defining required fields and maintaining change history.
- Build and maintain HubSpot workflows, automations, and notifications to increase adoption and reduce manual effort.
- Oversee how HubSpot integrates with other tools, managing bidirectional data flows and helping ensure data moves reliably from A to B.
- Produce partner reporting, network KPIs, and operational insights that support decision‑making across departments.
- Support data governance workflows including DSAR/DSER handling and secure, auditable data retrieval.
- Monitor production and supply‑chain‑related data issues and coordinate fixes in partnership with system owners.
- Scoping, testing and safely rolling out improvements.
- Use lightweight scripting (Python/JavaScript), API integrations, low‑code tooling, or AI‑assisted approaches to automate processes.
- Identify opportunities to streamline or automate day‑to‑day reporting, operational data tasks, and cross‑system workflow.
- Support the wider digital transformation programme, including data cleansing, migration, and system modernisation tasks.
What You’ll Bring
We think the role would be great for somebody who has strong data skills and confidence working with structured datasets as well as:
- Experience querying and manipulating data using SQL.
- Hands‑on experience with HubSpot (admin/config/reporting/workflows).
- Clear communication skills, able to gather requirements, document processes, and engage with stakeholders effectively.
- A pragmatic, exploratory, can‑do mindset with strong problem‑solving ability.
- Experience with scripting languages (Python or JavaScript) or API usage to automate tasks.
Skills that would really make your application stand out (but are not essential)
- Experience with data tooling or orchestration pipelines (e.g., Dagster) or supporting data engineering teams.
- Familiarity with data governance or privacy workflows (DSAR/DSER).
- Experience in automation-first working, low‑code/no‑code tools, or AI‑supported problem solving.
Perks that spark joy
- Free Pod Point Charger Access for you and up to 5 family/friends to the 'UnMind' wellbeing platform.
- Flexible hybrid working model (8-12 days in our London office, per month).
- Work abroad for up to 20 days per year.
- Family & friend discount scheme.
- 25 days holiday (plus flexible Bank Holiday scheme).
- Very generous parental and family leave.
- Pension scheme with a 4.5% matched contribution.
- Eyecare scheme.
- Life insurance covering up to 4x your annual salary.
- Virtual GP provided by HealthHero.
- Employee Assistance Program.
- Free Mortgage Advice.
- Discounted Gym Memberships.
- Cycle2Work Scheme.
Important Information
You must have the legal right to work in the UK. We celebrate diversity and encourage applications from all backgrounds. Your privacy is important to us, all information shared will be handled according to our Candidate Privacy Notice. Good luck and we look forward to speaking with you soon!
Systems & Data Analyst employer: Pod Point, Ltd.
Contact Detail:
Pod Point, Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems & Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at Pod. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data analysis and automation capabilities. This will give you an edge during interviews and show how you can add value to the team.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and systems improvement. Mock interviews with friends or using online platforms can help you nail your responses.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Pod and being part of our mission.
We think you need these skills to ace Systems & Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Systems & Data Analyst role. Highlight your experience with HubSpot, SQL, and any relevant data automation projects. We want to see how your skills align with our mission!
Showcase Your Problem-Solving Skills: In your application, share specific examples of how you've tackled data problems or improved systems in the past. We love a can-do mindset, so let us know how you’ve made work easier for others!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Communicate your passion for data and how you can contribute to our team. Remember, we appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Pod Point, Ltd.
✨Know Your HubSpot Inside Out
Since you'll be the go-to person for HubSpot, make sure you brush up on all its features. Familiarise yourself with workflows, automations, and data quality management. Being able to discuss specific examples of how you've used HubSpot in the past will show your expertise.
✨Show Off Your Data Skills
Prepare to talk about your experience with SQL and any data manipulation you've done. Bring examples of how you've solved data problems or improved systems in previous roles. This will demonstrate your analytical mindset and problem-solving abilities.
✨Communicate Clearly
As the role involves engaging with stakeholders, practice articulating your thoughts clearly. Think about how you would gather requirements or document processes. You might even want to role-play with a friend to get comfortable with this aspect.
✨Be Ready to Discuss Automation
The job requires identifying automation opportunities, so come prepared with ideas. Think about how you've used scripting languages like Python or JavaScript to automate tasks in the past. Sharing specific instances will highlight your proactive approach to improving efficiency.