Job Title: Data Analyst
Location: Dublin, Ireland
Work Type: Permanent
Hybrid work – 3 days a week onsite mandatory
Job Summary –
We are looking for experienced Data Analyst, who would leverage powerfully insightful data to inform our systems and solutions, and we're seeking an experienced pipeline-centric data engineer to put it to good use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes).
Technical Skills:
* 5–7 years of experience in data roles such as Data Analyst, Analytics Engineer, or Data Scientist
* Expertise in Splunk queries
* Familiarity with Python or another scripting language for data analysis and automation
* Well versed in ServiceNow IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM) capabilities
* Strong communicator who can collaborate effectively with technical and non-technical stakeholders
* Communication skills, especially for explaining technical concepts to nontechnical business leaders
* Strong business acumen and the ability to translate complex data into clear recommendations
* Ability to work on a dynamic, research-oriented team that has concurrent projects
* Should have experience with cloud platforms like AWS, Azure, and GCP
* Data analysis and visualization skills: analyze telemetry data to identify trends and patterns and create visualizations to communicate insights.
* A focus on impact - you don't stop with just recommendations but ensure to see work through to changing the business and driving enterprise value
* Professional certification in Data Analytics tools preferably
* General understanding of distributed systems
* Experience in Insurance domain preferable
Key Responsibilities and Skill
* Looking for a Senior Data Analyst for data team to help build a strong foundation for decision-making across the company, work closely with cross-functional stakeholders in Product, Engineering, and Finance to turn data into actionable insights and improve how we operate at scale
* Build trusted, scalable data models that serve as the foundation for analytics and reporting across the company
* Partner with stakeholders across product, design, engineering, and finance to uncover insights and support strategic initiatives
* Develop clear reporting and dashboards to drive performance visibility and accountability across teams
* Conduct in-depth analyses to evaluate feature usage, business performance, and customer behavior
* Set up thresholds and tweak existing ones to ensure relevant alerts are reported
* Build OOB dashboards and templates. To group the servers and applications by CIOs, etc, to make sense of data and customized working with Splunk.
* Monitoring and Alerting: Establish monitoring systems and alerts to detect anomalies and performance issues in real-time.