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Data Analytics Executive

BRITVIC IRELAND LIMITED

Irlanda📅 31/10/2026

Descripción

Job Overview The Data Analytics Executive plays a key operational role in ensuring our field teams and commercial teams have access to accurate data, reliable systems, and clear reporting that supports consistent execution across all channels.This role is ideal for someone highly organised, confident with Excel, and eager to rapidly build capability in Power BI and data systems. It requires a proactive self‑starter who enjoys problem‑solving, improving processes, and supporting others. Key Responsibilities Act as the central day‑to‑day contact for field and commercial teams on system and data queries.Manage the daily operation of field systems and tools (e.g., REX, XTEL), ensuring accuracy and reliability.Apply validation checks to identify and resolve data quality issues early.Maintain and update customer, outlet and product master data in line with agreed standards.Produce and maintain operational reports and dashboards using Excel and Power BI.Provide clear, action‑focused reporting to support field execution and commercial decision‑making.Provide Level 1 incident support, logging and triaging issues with IT and resolver teams as needed.Produce and maintain operational reports and dashboards using Excel and Power BI.Provide clear, action‑focused Data reports to support field execution and commercial decision‑making.Build and optimize data pipelines and integrations (SAP, REX, XTEL) to ensure timely, reliable insightsManage data quality and governance across CRM, order, and customer systems; maintain accurate master dataIdentify recurring issues and support simplification, standardisation and automation of processes using data analytics.Provide analytics and system support; troubleshoot issues and collaborate with IT teamsAct as the central day‑to‑day contact for field and commercial teams on system and data queries.Monitor adoption and effectiveness of reporting tools and field systemsRequirements Strong Excel skills (Pivot Tables, Power Query).Knowledge and expe
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