Business Intelligence Analyst

Company Description Struers has been a trusted global leader in materialographic solutions since 1875, empowering businesses and research institutions across industries to meet their goals for material analysis, development, and sustainability. With a mission to ensure certainty, Struers supports customers at every stage of the sample preparation process, delivering fast, accurate, safe, and efficient results. Backed by deep scientific expertise and innovative technologies, Struers is committed to upholding the highest standards of performance and quality to help clients achieve their ambitions. The company is headquartered in Copenhagen, continuing its legacy of scientific excellence and innovation. Role Description This is a full-time, on-site role for a Business Intelligence Analyst based in Copenhagen. The Business Intelligence Analyst will be responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making processes. Key responsibilities include developing and maintaining business intelligence tools and dashboards, generating detailed reports, identifying trends and insights, and collaborating with cross-functional teams to provide actionable recommendations. The role also involves ensuring data integrity, troubleshooting data discrepancies, and staying up-to-date with emerging industry trends and analytics tools. Qualifications Proficiency in Business Intelligence tools, Data Visualization, and Dashboard CreationStrong analytical, Data Analysis, and Data Modeling skillsExperience with SQL, Python, R, or similar programming languagesFamiliarity with Data Warehousing concepts and Database Management SystemsAbility to translate complex data into actionable business insights and clear reportsExcellent problem-solving skills, attention to detail, and the ability to make data-driven decisionsStrong communication and collaboration skills to work with cross-functional teamsBachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field; relevant work experience preferredExperience in manufacturing or scientific industries is an advantage