Role: Data Analyst

Location: Dublin, Ireland

Full-time

Hybrid WFO – Client Office – 3 to 4 days

Who are we looking for?

We are looking for 10+ years’ experience 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.

Qualification:

• Somebody who has at least 10+ years of work experience who has played Data Analyst role.
• Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
• Education qualification: Any degree from a reputed college