BI Data Analyst

Duties And Responsibilities

The NTA is at a very opportune moment in its history: a crossroad in time when modern data technologies, advanced analytics, data science, and artificial intelligence (AI) meet transportation opportunities that are being expected by the growing and changing needs of Irelands population. The wealth of the data that the NTA is managing at present will be greatly exceeded in complexity and volume by the data that will soon become available to it. This data will become a valuable source of knowledge that will help Ireland deliver the transport needs in an innovative and a cost-effective manner. We have developed an advanced cloud-based BI & Data Analytics Platform to ensure we maximise the potential of the increasing volumes and use cases of data. In parallel, we are growing our BI & Data Analytics Department to serve the analytical needs of the NTA and the wider transport community in Ireland. As a result, we are now seeking to recruit a BI Reporting Specialist who will have the skills to leverage the data and technology within the NTA to provide actionable insights to the relevant public transport stakeholders. The BI Reporting Specialist will based in the BI & Data Analytics Department of the NTA, working with the Head of the Department, and a team of Data Engineers, Data Architects, BI Developers and Data Scientists

• Work with the BI & Data Analytics Department of the NTA to articulate information needs and build robust models in support of planning and policy making;
• Use appropriate statistical methods to identify, manage and analyse a variety of data. This will require strong data querying and statistical programming skills in one or more suitable languages;
• Develop machine learning models, where appropriate, to predict boarding & alighting patterns, arrival times, commuting patterns etc;
• Develop good relationships with data providers in the NTA in order to better identify analytic potential to support policy making;
• Leverage AI and Gen AI tools for automation and innovation;
• Future passenger demand, carbon emissions and traffic congestion forecasting;
• Participate in the relevant working groups and networks and attend relevant meetings;
• Provide written and oral briefings based on their analysis to the Head of BI & Data Analytics;
• Works closely with clients and ICT teams to turn data into critical information and knowledge that can be used to make sound business decisions;
• Provide data analysis that is accurate, relevant and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems; and
• Assist in educating and training NTA business departments to use data as an analytical tool, displaying the information in new forms and content for the purpose of analysis and option exploration.
  
  

The Skillsets Associated With This Role Include The Following

• Ability to identify business intelligence, reporting, and data analysis needs;
• Experience in building an understanding of the business at a level of detail that enables them to identify and address critical issues;
• Experience supporting the design and development of business intelligence solutions including data modelling;
• A critical thinker with an well-developed set of problem solving skills and a strong business acumen to foresee and mitigate issues around the preparation of specifications, development and implementation of solutions, with due consideration to impact of change on the organisation and stakeholders;
• Strong communication and relationship management skillset, with the ability to deliver critical findings to management regarding any proposed organisational change;
• Strong mathematical / statistical skills;
• Ability to work with SQL databases and several programming languages and statistical software packages;
• Demonstrable experience building AI / machine learning / statistical models that provide business benefit;
• Using scripting languages to develop new insights from the available data;
• Ability to review available data, search and identify patterns that could indicate new insights;
• Ability to analyse very large data sets and to help creating management reports and dashboards; and
• Experience in how the available data within a public sector body can influence a strategy and contribute to the success of a strategy.
  
  

Note:The functions and responsibilities initially assigned to the position are based on the current organisational requirements and may be changed from time to time. The person appointed requires the flexibility to fulfil other roles and responsibilities at a similar level within the Authority.

Essential Criteria

Please note: In order to satisfy the shortlisting panel that you meet these criteria you must explicitly reference how you meet same in your application. Failure to demonstrate these may prevent your application progressing to future shortlisting stages.

Each candidate must meet the following requirements at the time of the competition closing:

• Hold a minimum NFQ level 7 qualification in a numerate discipline, being Computer Science, Data Analytics, Engineering, Economics etc or equivalent;
• Evidence of skills in analytics techniques and programming (e.g. data visualisation, machine learning, statistical programming, SQL);
• Have at least 5 years experience working as a BI / Data Analyst developing data models and providing advanced data analysis/reports/dashboards for consumption by business users; and
• Have at least 2 years experience managing projects or people.
  
  

Desirable Criteria

Please note: Should further shortlisting be required after essential criteria above, a selection of the following may be assessed.

The Ideal Candidate Will Also

• Have experience in how the available data within a public sector body can influence a strategy and contribute to the success of a strategy.
  
  

Skills

Is personally trustworthy and can be relied upon Collaborates and supports colleagues Is logical and pragmatic in approach