Senior Data Analytics Lead, European Merchandising

CIRCLE K IRELAND LIMITED; Dublin; On-site; EUR 80,000 - 110,000; Full time

Job summary

CIRCLE K IRELAND LIMITED is seeking an experienced analytics professional for a fixed-term 2-year contract to support European Merchandising with data-driven insights. You will translate business priorities into analytical requirements and KPIs, and lead projects end-to-end.

You will evaluate category performance, pricing, promotions and customer behavior using SQL, Python, PySpark and cloud-based platforms; you’ll build dashboards and present insights to stakeholders.

Qualifications

• 3+ years of experience in analytics, data science, BI or related role.
• Experience in retail, merchandising or FMCG analytics environments.
• Experience with SQL and Python/PySpark; Databricks/Azure a plus.
• Strong analytical and problem-solving skills with ability to translate data into insights.
• Ability to present complex findings to both technical and non-technical audiences.

Responsibilities

• Partner with European Merchandising, Category and other business teams to translate priorities into analytics requirements and KPIs.
• Lead analytics projects from problem definition through data exploration, analysis and stakeholder communication.
• Evaluate category performance, pricing, promotions, assortment and customer behavior using various data sources.
• Develop scalable dashboards, analytical tools and reporting solutions for business monitoring.
• Collaborate with Data Engineering and Technology teams to improve data quality and analytics capabilities.

Skills

Analytical thinking

Problem solving

Data storytelling

Business acumen

Education

Higher degree in analytics

Tools

SQL

Python

PySpark

Databricks

Azure

Job description

CIRCLE K IRELAND LIMITED is seeking an experienced analytics professional for a fixed-term 2-year contract to support European Merchandising with data-driven insights. You will translate business priorities into analytical requirements and KPIs, and lead projects end-to-end.

You will evaluate category performance, pricing, promotions and customer behavior using SQL, Python, PySpark and cloud-based platforms; you’ll build dashboards and present insights to stakeholders.