Data Scientist – Power BI & Business Intelligence

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

Other technical skills

What you'll be doing

Global cybersecurity company seeks a Data Scientist with strong Power BI, SQL, and Python skills to deliver reporting and analytics across CRM, operational, and technology data sources. Hybrid role in Dublin, focusing on dashboard design, data modeling, and data governance for business intelligence initiatives.

Prepare, reconcile and model data from CRM, operational and platform sources
Design and maintain Power BI dashboards, reports, semantic models and executive-level visualisations
Develop robust measures, transformations, data-refresh processes and validation controls
Define and document reporting metrics, data-quality rules and governance standards
Support CRM and systems-data management to improve reporting consistency
Test data outputs and workflows, recording issues and supporting user acceptance activities

Key requirements

Must-have

2+ years experience in a similar role
Relevant degree or masters
Strong commercial Power BI experience including dashboard design, data modelling, Power Query and DAX
Strong SQL and Python skills
Experience preparing and validating complex data from multiple sources
Ability to build reporting for operational, senior leadership and board-level audiences
Strong attention to documentation, refresh reliability, data quality and governance
Irish/EU Citizenship

Nice-to-have

Knowledge of HubSpot or another CRM platform

Experience: 2+ years in a similar role

Role signals

Technical focus: business intelligence, data modeling, dashboard/reporting
Hands-on vs management: Hands-on

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Full job description

Data Scientist – Power BI & Business Intelligence – Dublin

Cpl are partnering with a global cybersecurity business to recruit a Data Scientist with strong Power BI capability. The successful candidate will deliver clear, trusted reporting and analytics across CRM, operational and technology data sources.
This is a hybrid role based in Dublin, with an average of three days per week in the office.

Responsibilities

Prepare, reconcile and model data from CRM, operational and platform sources.
Design and maintain Power BI dashboards, reports, semantic models and executive-level visualisations.
Develop robust measures, transformations, data-refresh processes and validation controls.
Define and document reporting metrics, data-quality rules and governance standards.
Support CRM and systems-data management to improve reporting consistency.
Test data outputs and workflows, recording issues and supporting user acceptance activities.

Requirements

2 + Years experience in a similar role
Relevant degree/masters essential.
Strong commercial Power BI experience, including dashboard design, data modelling, Power Query and DAX.
Strong SQL and Python skills.
Experience preparing and validating complex data from multiple sources.
Ability to build reporting for operational, senior leadership and board-level audiences.
Knowledge of HubSpot or another CRM platform is advantageous.
Strong attention to documentation, refresh reliability, data quality and governance.
Candidates must have Irish/EU Citizenship
Must currently live within a commutable distance of Dublin.

On Offer

Ownership of business intelligence and reporting within a growing cybersecurity organisation.
Exposure to a broad range of technical, operational and risk data.
Hybrid Dublin working and significant scope to shape reporting standards from the ground up.

#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 delivering robust Power BI reporting and analytics across multiple data sources, with a strong emphasis on data modeling, dashboard design, and data quality within a cybersecurity context.

Power BI expertise·High
Data modeling and transformation·High
Data quality and governance·High
Multi-source data integration·Medium

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

Review Power BI Portfolio
0–8 min
Select 1-2 dashboards or reports you have built for executive or operational audiences, focusing on design, data modeling, and business impact.
Prepare Data Integration Examples
8–15 min
Outline a scenario where you reconciled and validated data from multiple sources using SQL and Python.
Document Data Quality and Governance Practices
15–20 min
Summarize your approach to defining metrics, documenting rules, and ensuring data reliability in BI projects.
Research CRM Data Integration
20–25 min
Refresh your knowledge of integrating CRM data (e.g., HubSpot) into BI solutions and be ready to discuss challenges and solutions.
Prepare Role-Specific Questions
25–30 min
Draft 2-3 thoughtful questions about the technical environment, team processes, and expectations for the role.

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 Power BI dashboard you designed for executive or board-level reporting?High
Why they may ask
Assesses your ability to create impactful, high-level visualizations and communicate insights to senior stakeholders.
Prepare to discuss
- Clear description of dashboard objectives and audience.
- Explanation of design choices and key metrics.
- Discussion of data sources and modeling approach.
- Evidence of user feedback or business impact.
Tip: Choose an example that demonstrates both technical skill and business understanding.
2How have you prepared and validated data from multiple sources for reporting?High
Why they may ask
Evaluates your data integration, reconciliation, and validation skills.
Prepare to discuss
- Step-by-step process for data extraction and cleaning.
- Techniques for handling inconsistencies or missing data.
- Tools and scripts used (e.g., SQL, Python).
- Methods for ensuring data accuracy and reliability.
Tip: Highlight a complex scenario and your problem-solving approach.
3What is your approach to defining and documenting data-quality rules and governance standards?Medium
Why they may ask
Tests your attention to detail and understanding of BI governance.
Prepare to discuss
- Examples of documentation practices.
- How you define and enforce data-quality metrics.
- Collaboration with stakeholders to set standards.
- Impact on reporting reliability.
Tip: Reference specific frameworks or tools if relevant.
4Describe a time you used SQL and Python to transform or analyze data for a BI project.High
Why they may ask
Assesses your technical proficiency in data manipulation and analysis.
Prepare to discuss
- Clear context and business objective.
- Specific SQL queries or Python scripts used.
- Challenges faced and how you resolved them.
- Outcome and impact on reporting.
Tip: Be ready to discuss code or logic at a high level.
5How do you ensure the reliability and refresh accuracy of your Power BI reports?Medium
Why they may ask
Focuses on your process for maintaining up-to-date and trustworthy dashboards.
Prepare to discuss
- Automated refresh strategies.
- Monitoring and alerting for failures.
- Testing and validation routines.
- Communication with users about data updates.
Tip: Mention any tools or processes you have implemented.
6Have you worked with CRM data (such as HubSpot) in your BI projects? What challenges did you face?Medium
Why they may ask
Explores your experience with CRM integration and data consistency.
Prepare to discuss
- Description of CRM platform and data structure.
- Integration process and tools used.
- Challenges (e.g., data quality, schema changes) and solutions.
- Benefits delivered to reporting.
Tip: If you lack direct HubSpot experience, discuss similar CRM systems.
7How do you tailor your reporting and visualizations for different audiences?Lower
Why they may ask
Assesses your communication skills and ability to meet stakeholder needs.
Prepare to discuss
- Understanding of audience requirements.
- Examples of adapting complexity and detail.
- Feedback mechanisms for continuous improvement.
Tip: Use concrete examples for operational vs. executive reporting.
8What steps do you take to support user acceptance testing (UAT) for new BI solutions?Lower
Why they may ask
Evaluates your collaboration and testing practices.
Prepare to discuss
- Involvement in UAT planning and execution.
- Documentation of issues and resolutions.
- Communication with end users.
- Iterative improvements based on feedback.
Tip: Highlight your role in ensuring solution quality.

Talking points

Power BI Dashboard Design and Data Modeling
Demonstrate your ability to create effective, executive-level dashboards and semantic models, highlighting your experience with Power Query and DAX.
Data Preparation and Validation from Multiple Sources
Showcase your skills in reconciling and modeling data from CRM, operational, and platform sources, and ensuring data accuracy.
SQL and Python for Data Transformation
Provide examples of using SQL and Python to prepare, transform, and validate complex datasets for business intelligence purposes.
Data Quality, Governance, and Documentation
Explain your approach to defining metrics, documenting data-quality rules, and maintaining governance standards for reliable reporting.
Reporting for Diverse Audiences
Describe how you tailor reporting and visualizations for operational, senior leadership, and board-level stakeholders.
CRM Data Integration (e.g., HubSpot)
If applicable, discuss your experience integrating CRM data into BI solutions and supporting consistent reporting.

What to research

Power BI Advanced Features
Review your experience with Power Query, DAX, semantic models, and dashboard/report design for executive audiences.
SQL and Python Data Transformation
Prepare examples of using SQL and Python for data extraction, transformation, and validation in BI projects.
Data Quality and Governance Documentation
Gather evidence of your approach to documenting data-quality rules, metrics, and governance standards.
CRM Data Integration
Be ready to discuss your experience integrating CRM data (such as HubSpot or similar) into BI solutions.

Questions to ask

What are the main data sources and platforms currently integrated into your Power BI environment?
Why ask this? Clarifies the technical landscape and helps you relate your experience to their stack.
How does the team approach data governance and quality assurance for business intelligence reporting?
Why ask this? Shows your interest in best practices and alignment with their standards.
What are the biggest challenges the business faces in delivering trusted analytics to leadership?
Why ask this? Helps you understand key pain points and how you can add value.
How much autonomy will I have in shaping reporting standards and dashboard design?
Why ask this? Assesses your potential influence and scope for innovation.
What does success look like in this role after the first six months?
Why ask this? Clarifies expectations and helps you target your contributions.
How does the team collaborate with operational and technology stakeholders to define reporting requirements?
Why ask this? Gives insight into cross-functional collaboration and communication.

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Apply NowApply before: 5 Oct 2026