Working student supporting HR Data Analytics & Reporting initiatives at Schaeffler. Involves research, development of communication materials, and team collaboration.
About the role
- HubSpot data specialist improving systems and automating processes for one of the UK’s leading EV charging providers. Collaborating on data quality and operational reporting across departments.
Responsibilities
- 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.
- Identify high-value integration opportunities between HubSpot and internal systems, including 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.
Requirements
- 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.
- 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.
Benefits
- 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
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