Ofertas de empleo de Analista de Datos en Alicante/Alacant

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• PublicadaNueva

. TSQL R Machine Learning Power BI Tableau

• Role Purpose
  
  

• Key Responsibilities
• Build and maintain dashboards, reports, and visualizationsto support operational and strategic decision-making in Aftermarket Sales.
• Perform exploratory data analysis (EDA) to identify trends, anomalies, and opportunities for improvement in customer behavior, product performance, and sales channels.
• Develop and maintain forecasting analyses/models (e.g. demand, revenue, customer behavior) to help improve planning and prioritization.
• Collaborate closely with sales, aftermarket, operations, and management to understand business questions and translate them into analytical solutions.
• Define and track KPIs and metrics relevant to aftermarket performance, customer segmentation, and commercial efficiency.
• Use data to prioritize customers, regions, and product lines, supporting a more targeted commercial approach.
• Communicate insights and recommendations clearly to both technical and non-technical stakeholders, using storytelling and visual analytics.
• Work with data engineers and IT teams to ensure data availability and reliability for analytical use (providing requirements and feedback on data quality and structure).
• Qualifications
• Proven experience as a Data Analyst or BI Analyst, preferably in industries with complex assets (e.g., maritime, manufacturing, logistics, or similar).
• Strong skills in SQL for data extraction and analysis.
• Proficiency in at least one programming language for data analysis (e.g., Pythonor R).
• Hands-on experience with data visualization tools such as Power BI, Tableau, or Qlik.
• Solid understanding of data cleaning, transformation, and validation techniques from an analytical perspective.
• Strong problem-solving skills and ability to translate business needs into analytical questions and insights.
• Excellent communication skills, with the ability to explain analytical findings and trade-offs to both technical and non-technical audiences.
• Comfortable working with data that comes from multiple systems, including legacy systems (with support from data/IT teams).
• Experience working in maritime, logistics, or other asset-heavy industries.
• Exposure to data warehousing or data lake environments from an analytical user perspective.
• Familiarity with forecasting methods and basic statistical or machine learning models for commercial use cases.
• Opportunity to directly shape how data is used in Aftermarket Sales in a leading maritime company.
• Work on a wide variety of products and assets, both new and legacy.
• A collaborative environment with direct impact on company decision-making.
• Competitive salary and benefits package.
• Nice to Have
• Experience working in maritime, logistics, or other asset-heavy industries.
• Exposure to data warehousing or data lake environments from an analytical user perspective.
• Familiarity with forecasting methods and basic statistical or machine learning models for commercial use cases
• What We Offer
• Opportunity to directly shape how data is used in Aftermarket Sales in a leading maritime company.
• Work on a wide variety of products and assets, both new and legacy.
• A collaborative environment with direct impact on company decision-making.
• Competitive salary and benefits package.