Data Analyst

Senior Data Analyst
Galway - Hybrid 1 week a month
400-450 per day
12 month contract

• SQL proficiency for data manipulation, querying, and profiling on cloud and on-premise database technologies - preferably Snowflake and Oracle.
• Experience in Snowflake procedures, PL/SQL, SQL, Unix shell scripts, Python.
• Working understanding of relevant database platforms (e.g., Oracle, Snowflake, Microsoft SQL Server).

• 8+ years of analyst experience in the form of research, requirements definition, gap analysis, data mining, and data profiling.
• Demonstrated ability in data analytics, data warehousing, and data visualization.
• Proven experience in building data visualization dashboards using Tableau and/or Power BI.
• Experience with data management and visualization tools (SQL, Power BI, Tableau, Python, Alteryx), report generation and distribution with an emphasis in SQL knowledge.
• Understanding of modeling strategies and concepts (dimensional, relational, unstructured).
• Building conceptual, logical, and physical data models (3NF) in a relational database environment.
• Analyze business requirements and translate them into effective data models, considering data quality, performance, and scalability.
• Experience with data governance and data quality initiatives
• Solid understanding of data lineage. Ability to break down and detail the flow of data from source to target and develop data flow diagrams.
• SQL proficiency for data manipulation, querying, and profiling on cloud and on-premise database technologies - preferably Snowflake and Oracle.
• Experience in Snowflake procedures, PL/SQL, SQL, Unix shell scripts, Python.
• Working understanding of relevant database platforms (e.g., Oracle, Snowflake, Microsoft SQL Server).
• Solutioning and development with any ETL technologies and building data pipelines.
• ETL tool experience such as Informatica or Snap Logic in support of data analysis work would be a nice to have.
• Ability to collaborate with data architects, data engineers, business analysts, and stakeholders to ensure alignment with overall data strategy.
• Ability to effectively communicate complex data modeling concepts to both technical and non-technical audiences.
• Experience working in an Agile team setting (Kanban and/or SCRUM).
• Experience working in the Cybersecurity or Risk industry is preferred.
• Ability to learn from the data as you engage with business partners, test, research, and analyze so that you have a deep understanding of the "what and why" the data reflects.
• Able to work independently; comfortable seeking guidance when needed.