Statistician/Data Analyst

at  Skillspark AB

REQUIREMENTS:

• A minimum of 3 years’ experience in the role as Statistician/Data Analyst
• Available to provide services from the commencement date of the services estimated to be 23rd September 2024 but must be available no later than 7th October 2024
• A formal qualification in data analytics or a related discipline at Level 8 (or higher) on the National Framework of Qualifications
• Practical use of advanced technical data analysis techniques to include writing and using complex SQL for extraction, manipulation, and data cleansing as well as query optimisation and, writing of complex stored procedures.
• Practical use of either Tableau and Power BI to produce advanced data visualisations and also other data reporting tools such as SSRS
• Specific project-based experience on applying descriptive and predictive analytics executed via tools / use of R and Python coding languages
• Using SSIS / Azure Data Factory to design and implement data ingestions (including any data transformations) into an On-Prem / Azure SQL instance
• Ability to write quality technical support documents which set out and explain approach taken on specific work item/report delivered and to carry out walkthrough of same with team members
• Handling of multiple business priority requests/work teams ensuring quality on time delivery aligned to business need
• Written and verbal fluency in English
  So, are you ready to join our team?
  It’s important to remember, emagine is an Equal Employment Opportunity Employer; we value bringing together individuals from diverse backgrounds to develop innovative solutions for our customers.
  Opportunity type: Contract (12 months initially), Hybrid, Dublin

• Extracting information via multiple complex SQL joins to various data stores and presenting insights back in Tableau data visualisations aligned to established data visualisation standards.
• Applying analytics, including statistical analysis and data mining methodologies, to better understand customers, predictive behaviour modelling, risk analysis, compliance management, customer segmentation, and pattern recognition.
• Assisting and contributing to the design of the Enterprise Data Model to enable ingestion, transformation, cleansing, and consolidation of data in a standardised format, making it available for business users to self-serve on reporting.
• Leading and reviewing the validation of proposed production data migration systems to ensure the continuation of existing business reports.
• Enhancing data quality and integrity across all datasets by identifying data anomalies via scripts that can be integrated into a Data Quality Monitoring Framework.
• Ensuring the Data Reporting platform operates at maximum performance efficiency by developing indexing strategies, fine-tuning queries, and optimising reporting table creation processes.
• Contributing as needed to the design, development, and delivery of the overall Data Strategy.
• Following defined team processes and visualisation standards as set out by the Data Analytics Manager and contributing to the development of new processes and refinements through continuous improvement.
• Facilitating knowledge transfer within the Data Analysis team by allowing shadowing and holding walkthrough sessions as part of internal upskilling programmes.
• Reporting and updating weekly to the Data Analytics Manager on all assigned work items, including progress updates, status, target dates for completion, and any risks or issues.
• Adhering to all ICT security policies and procedures regarding network and security access