This role is based in Jacobs' Dublin team where you’ll work on the BusConnects infrastructure programme, shaping analytical processes and enabling data‑driven decisions for sustainable transport.
Your impact
This is a great time to join Jacobs’ Dublin team as we scale our analytics capability within transportation. You’ll be working on BusConnects, a major infrastructure programme that will directly improve daily commutes and make the city more sustainable. It’s a greenfield opportunity – the team is still maturing, so you’ll help shape processes, influence how analytics is done, and have a tangible impact from day one. There’s strong growth in the pipeline, with leadership heavily investing in this space.
With a chance to make a real difference to real people’s day‑to‑day lives, why wouldn't you want to make an impact?
Day to Day
Frame ambiguous business problems into structured data‑analysis questions and testable hypotheses
Apply core analytics techniques including descriptive, inferential, and predictive analysis
Perform statistical analysis using regression, hypothesis testing, sampling, and confidence intervals
Conduct exploratory data analysis to identify patterns, trends, and anomalies in complex datasets
Build reproducible analytical workflows using Python and notebook environments
Use AI tools to enhance data analysis, code generation, and insight discovery with careful validation
Query, validate, and manipulate data using SQL across multiple data sources
Create clear data visualisations and insight‑led narratives tailored to different audiences
Communicate analytical findings in a way that supports decision‑making without overstating certainty
Collaborate with stakeholders to refine data requirements and ensure outputs are relevant and accurate
Assess data quality, bias, and limitations, and clearly articulate what the data can and cannot support
Work within data governance, privacy, and ethical frameworks at all times
Technical Stack
Python for data analysis including pandas, numpy, scipy, statsmodels
SQL for data extraction, transformation, and validation
Jupyter or similar notebook tools for reproducible data analysis
Azure‑based data platforms including Fabric, Synapse, and Databricks
Data pipeline tooling such as Azure Data Factory
AI and copilot tools to support and accelerate analytical workflows
Data visualisation using matplotlib, seaborn, Plotly or similar
Version control and CI/CD practices using Git
What’s In It For You
Apply your Data Analyst skills to deliver insight on major infrastructure and transformation programmes
Accelerate your career as a Data Analyst in a high‑growth, high‑visibility environment
Work alongside experienced analysts, data professionals, and domain experts
Develop both your technical data skills and your stakeholder‑facing consulting capability
Be part of a collaborative culture where data‑driven thinking is valued and encouraged
Gain exposure to diverse datasets, sectors, and analytical challenges
Learn to apply data analysis in complex, real‑world environments with measurable impact
Take ownership of your work and grow your capability in a supportive, forward‑thinking team
Benefits
Competitive salary aligned to experience
33 days paid holiday per annum with the option to purchase more
Stock purchase options
Inclusive employee networks and diverse community
Family planning support including fertility services
Enhanced parental leave and support programmes
Income protection for long‑term security
40 hour working week with flexible working patterns
Wellbeing hub with access to apps such as Calm and Daily Burn
Professional development, paid memberships, and CPD opportunities
Charity match funding, volunteering time, and donations
Key Skills & Experience Required
Strong experience with
SQL
Python
Microsoft Fabric, Synapse, and Databricks
Exposure to AI and advanced analytics
Familiarity with Generative AI (AI augmentation concepts)
Experience using analytical tools that support AI‑driven insights
Communication & Storytelling
Strong ability to communicate insights clearly
Capable of translating data into meaningful business stories
Data Management & Governance
Solid understanding of data quality and assurance principles
Knowledge of data completeness and data lineage
Engineering Best Practices
Experience with version control (e.g. Git)
Familiarity with CI/CD pipelines and deployment practices
Cloud Environment
Primary focus on Microsoft Azure
Experience with AWS or Google BigQuery is transferable
Leadership & Growth
Will be expected to support and mentor others
As a disability confident employer, we will interview disabled candidates who best meet the criteria. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.
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