Data Analyst – Aftermarket Sales

Kongsberg Gruppen Data Analyst Aftermarket Sales Holdingselskaper 1. Role Purpose We want to improve and extend the usage of data in our decision making when setting priorities and making strategic decisions in Aftermarket Sales. The ultimate goal is improved efficiency, a more targeted approach towards the right customers, andincreased sales. As a Data Analyst Aftermarket Sales , you will transform complex commercial and operational data into clear, actionable insights. You will be responsible for building dashboards, reports, and analyses that support both operational and strategicdecision-making across our aftermarket business. 2. Key Responsibilities Build and maintain dashboards, reports, and visualizations to 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 ( 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). 3. Qualifications Proven experience as a Data Analyst or BI Analyst , preferably in industries with complex assets (, maritime, manufacturing, logistics, or similar). Strong skills in SQL for data extraction and analysis. Proficiency in at least one programming language for data analysis (, Python or 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. 4. 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 5. 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. #J-18808-Ljbffr