Data Scientist – HubSpot & CRM Analytics

CPL · Recruitment agency

Full-time•Data engineering•Dublin, Ireland · Remote within Ireland · Hybrid

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At a glance

Employment type: Full-time
Location: Dublin, Ireland · Remote within Ireland · Hybrid
Workplace: Hybrid
Category: Data engineering

Technologies & skills

Primary technologies

JavaScript Python

Other technical skills

What you'll be doing

Data Scientist role focused on HubSpot & CRM analytics at a global cybersecurity company in Dublin. Responsibilities include preparing, analysing, and visualising CRM data, improving data quality, and supporting insight-led decision-making. Hybrid work model with three days in-office per week.

Prepare, cleanse, validate and analyse data from HubSpot and connected business systems
Develop metrics, segmentation, analytical models and visualisations for operational insight
Manage CRM data quality, structures, workflows, governance and integrations
Build CRM dashboards, views and user-interface components using supported extension capabilities
Test product workflows and data outputs, documenting findings and supporting acceptance testing
Work with technical and business stakeholders to turn data into clear, practical insight

Key requirements

Must-have

2+ years experience in a similar role
Proven experience in data analysis, data science or CRM analytics
Strong, hands-on HubSpot CRM experience
Strong Python, SQL and JavaScript capability
Experience with HubSpot objects, properties, APIs, workflows, integrations and governance
Strong data visualisation, statistical reasoning and data-quality skills
Ability to communicate analytical findings clearly to technical and non-technical stakeholders
Irish/EU Citizenship

Experience: 2+ years

Role signals

Technical focus: data analysis, CRM analytics, data visualisation
Hands-on vs management: Hands-on

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Full job description

Data Scientist – HubSpot & CRM Analytics – Dublin

Cpl are partnering with a global cybersecurity organisation to hire a Data Scientist with strong HubSpot experience. This role will focus on preparing, analysing and visualising CRM and operational data, while improving data quality, reporting and insight-led decision-making.
This is a hybrid Dublin-based opportunity, with three days per week in the office on average.

Responsibilities

Prepare, cleanse, validate and analyse data from HubSpot and connected business systems.
Develop metrics, segmentation, analytical models and visualisations for operational insight.
Manage CRM data quality, structures, workflows, governance and integrations.
Build CRM dashboards, views and user-interface components using supported extension capabilities.
Test product workflows and data outputs, documenting findings and supporting acceptance testing.
Work with technical and business stakeholders to turn data into clear, practical insight.

Requirements

2+ Years experience in a similar role.
Proven experience in data analysis, data science or CRM analytics.
Strong, hands-on HubSpot CRM experience is essential.
Strong Python, SQL and JavaScript capability.
Experience with HubSpot objects, properties, APIs, workflows, integrations and governance.
Strong data visualisation, statistical reasoning and data-quality skills.
Ability to communicate analytical findings clearly to technical and non-technical stakeholders.
Candidates must have Irish/EU Citizenship
Must currently live within a commutable distance of Dublin.

On Offer

A varied data role combining CRM, analytics, visualisation and product validation.
The opportunity to work in a fast-growing cybersecurity and technology environment.
Hybrid Dublin working and the chance to help establish a new Irish centre of excellence.

#LI-JM2

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the role focuses on hands-on data science and analytics within HubSpot CRM, emphasizing data preparation, analysis, visualisation, and improving CRM data quality for a cybersecurity organisation in Dublin.

HubSpot CRM hands-on expertise·High
Technical data analysis (Python, SQL, JavaScript)·High
Data quality and governance·High
Clear communication with stakeholders·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

Review HubSpot CRM Technical Documentation
0–8 min
Spend time revisiting HubSpot's API, objects, workflows, and integration capabilities to ensure you can discuss them confidently.
Prepare Data Quality and Cleansing Examples
8–14 min
Select 1-2 strong examples from your experience where you improved CRM data quality or governance, focusing on your process and results.
Refresh Data Visualisation and Analytical Modelling Skills
14–22 min
Practice building a dashboard or analytical model using Python, SQL, or JavaScript, ideally with CRM or operational data.
Rehearse Stakeholder Communication Stories
22–27 min
Prepare concise stories where you communicated complex analytics to both technical and non-technical audiences, highlighting impact.
Draft Role-Specific Questions
27–30 min
Write down 2-3 thoughtful questions about the team’s data challenges, success metrics, and collaboration to ask during the interview.

Likely questions

Expand all

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

1Can you describe a project where you improved data quality or governance within a CRM system, particularly HubSpot?High
Why they may ask
To assess your practical experience with CRM data management and your understanding of HubSpot-specific challenges.
Prepare to discuss
- Describe the initial data quality issues and their business impact.
- Explain the steps you took to cleanse, validate, and govern the data.
- Highlight any tools, scripts, or workflows you implemented.
- Share measurable outcomes or improvements achieved.
Tip: Use a STAR (Situation, Task, Action, Result) format and quantify improvements where possible.
2How have you used Python, SQL, or JavaScript to analyse and visualise CRM or operational data?High
Why they may ask
To evaluate your technical proficiency and ability to build analytical solutions using the required technologies.
Prepare to discuss
- Describe a specific analysis or dashboard you built.
- Detail the data sources and how you accessed or transformed them.
- Explain your choice of visualisation tools or libraries.
- Discuss how your work informed business decisions.
Tip: Mention any libraries (e.g., pandas, matplotlib, D3.js) and focus on end-to-end workflow.
3What is your approach to developing metrics and segmentation for operational insight in a CRM context?High
Why they may ask
To understand your analytical thinking and ability to derive actionable insights from CRM data.
Prepare to discuss
- Explain how you identify key business questions.
- Describe your process for defining and calculating metrics.
- Share examples of segmentation strategies you have implemented.
- Discuss how these insights were used by stakeholders.
Tip: Relate your answer to HubSpot or similar CRM platforms if possible.
4Describe a time you worked with both technical and non-technical stakeholders to deliver a data-driven solution.Medium
Why they may ask
To assess your communication skills and ability to bridge technical and business needs.
Prepare to discuss
- Set the context and describe the stakeholders involved.
- Explain how you tailored your communication for different audiences.
- Share how you ensured understanding and buy-in.
- Highlight the impact of your solution.
Tip: Emphasise clarity, collaboration, and business outcomes.
5How do you approach testing and validating data workflows and outputs?Medium
Why they may ask
To gauge your attention to detail and experience with data validation and acceptance testing.
Prepare to discuss
- Describe your process for designing and executing tests.
- Explain how you document findings and communicate issues.
- Share examples of how you supported product or business teams during testing.
- Discuss any tools or frameworks you use.
Tip: Include both manual and automated testing approaches if relevant.
6What challenges have you faced integrating HubSpot with other business systems, and how did you overcome them?Medium
Why they may ask
To assess your experience with CRM integrations and problem-solving skills.
Prepare to discuss
- Describe the systems involved and integration goals.
- Explain technical or data-related challenges encountered.
- Detail the solutions you implemented (e.g., API usage, data mapping).
- Share the results and any lessons learned.
Tip: Be specific about your role and technical contributions.

Talking points

HubSpot CRM Experience
You will need to demonstrate hands-on expertise with HubSpot objects, properties, APIs, workflows, integrations, and governance; prepare examples of how you have managed or improved CRM systems.
Data Preparation and Quality Management
The role requires preparing, cleansing, and validating data; be ready to discuss your approach to ensuring data quality and handling data from multiple sources.
Analytical Modelling and Visualisation
You will develop metrics, segmentation, and visualisations; prepare to showcase your experience building dashboards and analytical models, especially using Python, SQL, and JavaScript.
Cross-functional Communication
You must communicate findings to both technical and non-technical stakeholders; have examples ready where you translated complex data insights into actionable business recommendations.
Testing and Workflow Validation
The job involves testing product workflows and supporting acceptance testing; be prepared to discuss your experience with data validation, documenting findings, and supporting product teams.

What to research

HubSpot CRM Features and APIs
Review HubSpot objects, properties, workflows, governance, and API documentation to ensure you can discuss hands-on experience.
Data Visualisation Tools and Techniques
Refresh your knowledge of building dashboards and visualisations using Python, SQL, and JavaScript, focusing on CRM and operational data.
Data Quality and Validation Methods
Prepare to discuss your approach to data cleansing, validation, and governance, especially in CRM environments.
Stakeholder Communication Strategies
Think of examples where you translated complex analytics into actionable insights for both technical and non-technical audiences.

Questions to ask

How is data quality currently managed within your HubSpot CRM environment?
Why ask this? To understand the maturity of their data governance and where you could add value.
What are the main business objectives for CRM analytics in your organisation?
Why ask this? To clarify how your work will align with strategic goals.
Which teams or stakeholders will I collaborate with most frequently?
Why ask this? To gauge the cross-functional nature of the role and communication expectations.
What are the biggest challenges you face with HubSpot integrations or data workflows?
Why ask this? To identify technical pain points and demonstrate your problem-solving interest.
How do you measure the success of analytics and data science initiatives here?
Why ask this? To understand performance metrics and expectations for your contributions.
What opportunities exist for professional development or learning new technologies?
Why ask this? To assess growth potential and the organisation’s commitment to upskilling.

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Apply NowApply before: 5 Oct 2026