Lead Data Insights Specialist

3 days ago

Dublin, Dublin City, Ireland beBeeData Full time €80,000 - €100,000
Senior Data Analyst Job Description
Overview

We are seeking a Senior Data Analyst to play a lead role in ensuring that data analysis, insights, and visualisations are presented in a format that enables business owners to make decisions and recommendations for project progression.

The successful candidate will integrate into the Data Office team, attending morning standup meetings, aligning with Data Office work practices, and providing direct updates from work items and projects to the IT Data Office team.

Key Responsibilities:

• Work directly with business-nominated project leads and/or project business analysts to understand project business problem statements and distill them down to data items that can assist in business decision-making.

• Perform data profiling, preparation of results, and outputs of profiling analysis, including visualisations, requiring high technical proficiency in SQL and Python.

• Execute data validation, cross-matching between datasets, outlier identification, and general data quality assessment activities.

• Design and develop basic 'modelling scenarios' which take business-defined rules, apply them to datasets/files, and generate model outputs – 'what if' type analysis.

• Identify, analyse, interpret, and communicate trends or patterns in complex datasets to both technical and non-technical audiences.

• Extract key messages from single/multiple datasets, present them in an appropriate format to the relevant audience, and adhere to Department templates/standards.

• Develop accompanying data documentation that is robust and clear to support data work items, including basic data dictionary/column descriptor documents related to work item datasets.

• Facilitate knowledge transfer into the Departments IT Data Office team by allowing shadowing and/or holding walkthrough sessions as part of quarterly team meetings.

Requirements:

• Significant experience and ability to engage directly with business users and stakeholders in refining their data requirements and translating these into technical requirements that can be turned into specific data deliverables to solve day-to-day business problems (150 Marks available - Minimum 90 marks required).

• Practical use of advanced technical data analysis techniques, including writing and using complex SQL for extraction, manipulation, and data cleansing, as well as query optimisation, and writing of complex stored procedures (150 Marks available - Minimum 90 marks required).

• Ability to produce quality technical support documents, including appropriate code annotation, and to carry out walkthroughs of same with team members (100 Marks available - Minimum 60 marks required).

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