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Analytical Engineer - Data Solutions

Dublin

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We know that sometimes people can be put off applying for a job if they think they can't tick every box, but if you are excited about this opportunity and think you can do most of what we are looking for, then go ahead and apply. You could be exactly what we need!

Ways of Working

At Bank of Ireland we are changing.  We are committed to enabling our colleagues to thrive and offer agile ways of working to maximise choice and flexibility in how we work and live. Varying degrees of optionality apply depending on the role.  For more detailed information on this role, please contact us, or let us know your preferred working arrangements when you apply.

Inclusion & Diversity

At the heart of our purpose is our commitment to Inclusion & Diversity: To foster an inclusive working environment where all colleagues are enabled to reach their full potential. We are working to develop a more inclusive and diverse environment, supported by the development of our Employee Support Networks.

Analytical Engineer - Data Solutions

Dublin, Ireland | Permanent | Full time

Analytical Engineer - Data Solutions

  • Dublin, Ireland
  • Full time

Description of Business Unit:

The Data Solutions & Analytics function was set up in September 2018 to enable Group Internal Audit to drive further independent insight and opinion through the provision of data focused products and capabilities. The function is responsible for the design and execution of the division's data and analytics strategy, including the development and deployment of all required data products, underlying technology stack and data cultural transformation initiatives across the division.

Purpose of the Role:

This is a cross functional individual contributor role to lead the technical solution delivery for analytics projects, realising value of the Groups data. You will design, develop and deliver solutions to teams across Group Internal Audit utilising data from across the Group, and using the latest technologies in data exploration, modelling and visualisation. You will have an opportunity to partner with the business on a wide range of projects, collaborating on appropriate ways of working and proposing new methodologies.

Key Accountabilities:

  • Liaise with stakeholders to understand E2E data requirements, including associated non-functional requirements.
  • Design, develop and implement E2E complex data transformation processes to unify data from multiple internal and external sources.
  • Create and manage key documentation for data services, including design and transition management documentation.
  • Design, develop and implement data quality measurement services for in-scope data feeds.
  • Support the design, development and implementation of Enterprise level data science solutions, including natural language processing and predictive analytics solutions.
  • Identify, design, and implement internal process improvements, including automation, scalability and performance engagements.
  • Contribute towards Group Internal Audits data & analytics strategy and the Data Solutions & Analytics portfolio through the identification of new value add data exploitation and continuous improvement opportunities.
  • Collaborate cross-functionally (with other teams within Group Internal Audit, and across the wider Group) to refine recommendations and develop next best action plans for risk management.

What is the Opportunity?

This role is a unique opportunity consisting of a hybrid combination of data science and data engineering responsibilities.

You will design, develop and implement complex data transformation processes, leveraging structured and unstructured data and manage the migration of data products to a production environment. You will also be involved in the design, development and delivering of solutions to teams across Group Internal Audit utilising data from across the Group, and using the latest technologies in data exploration, modelling and visualisation.

Essential Qualifications:

  • Third Level qualification in computational science, computer science, mathematics, statistics or another discipline including a significant quantitative element.

Essential Skills & Experience:

  • Proven experience in designing, developing and implementing data models, and end to end (E2E) transformation processes, to unify data from multiple internal and external data sources.
  • Experience in performing data quality analysis, and presentation of findings, to key stakeholders.
  • Demonstrable experience in the end to end development of data science solutions in a real world business environment, including experience in applying supervised and unsupervised machine learning methods real world business problems.
  • Experience in developing processes in Python to facilitate the acquisition, transformation and enrichment of semi-structured and unstructured data.
  • Proven experience in leveraging SQL and Python/R to acquire, transform and extract insights from large scale complex datasets (preferably HQL and/or Teradata SQL)
  • High level of discretion, capable of dealing with highly confidential and sensitive information.
  • Excellent time management and organisational skills with the ability to work on own initiative.
  • Strong attention to detail and high levels of accuracy and a strong team ethic and flexible approach in order to meet challenging goals and deadlines.

Desirable Qualifications, Skills & Experience:

  • Knowledge of the Cloudera Hadoop platform, and associated analytical tools (i.e. pySpark).

Key Competencies

  • Amplify Capability - Self
  • Accountable - People Manager
  • Champion Transformation - People Manager
  • Manage Risk - Self
  • Agile - People Manager

Where Agency assistance is required Bank of Ireland Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to Bank of Ireland by Recruitment Agencies will not be accepted for this role.

Bank of Ireland Group is an equal opportunities employer and is committed to fostering an inclusive workplace which values and benefits from the diversity of our workforce.

Closing date: Jul 10, 2020

Apply now

Our application form takes just minutes to complete. If you have any questions about our application, you can contact our recruitment team directly.

 

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