Digital Transformation & AI Analyst

Essential Job Duties:

Data Analytics & Management Decision Support

• Analyze large and diverse datasets related to equipment sales, service activities, customers, installed equipment population, fleet utilization, market development, product performance, and distribution.
• Develop analytical models and tools to identify trends, correlations, market opportunities, operational issues, and potential areas for business improvement.
• Collaborate with Finance and Business Analysts to enhance established reporting, dashboards, and KPIs by providing technical analysis, data integration, automation, and engineering-focused insights.
• Integrate and analyze information from ERP, CRM, telematics, market databases, financial systems, and other enterprise data sources.
• Apply programming, database, statistical, and visualization techniques using tools such as Python, SQL, Power BI, APIs, Excel, and related technologies.
• Develop equipment volume forecasts and predictive models using historical volume data, current and anticipated market conditions, and technological evolution affecting equipment demand.

Artificial Intelligence & Intelligent Automation

• Design, develop, test, and improve AI-based agents and technical applications supporting sales, service, market intelligence, engineering research, and internal information retrieval.
• Develop AI-assisted tools capable of collecting, structuring, evaluating, and summarizing information from multiple internal and external data sources.
• Evaluate the use of large language models, machine learning, APIs, and emerging AI technologies for practical applications within the organization.
• Develop prototypes and proof-of-concept AI applications for sales, service, customer support, market analysis, and management decision-making.
• Identify repetitive analytical and information-processing activities and develop automated workflows to improve efficiency, consistency, and data quality.
• Evaluate opportunities to connect AI applications with existing enterprise information and data systems.
• Test AI-generated results for accuracy, reliability, repeatability, and usefulness in a professional engineering and business environment.

Market Intelligence & Advanced Analytics

• Perform quantitative analysis of equipment markets, customers, competitors, applications, and industry trends across the company's equipment divisions.
• Develop automated methods for collecting, structuring, and analyzing market and competitive intelligence.
• Develop market-size models, market-share analyses, customer segmentation, equipment-population analyses, and demand forecasts.
• Analyze regional and industry-specific trends affecting construction, infrastructure, energy, ports, mining, industrial, and other equipment markets.
• Develop data-driven market analyses, forecasts, technical presentations, and strategic recommendations for the Managing Director and divisional management, using Finance-approved data and reporting definitions where applicable.
• Develop analytical tools that allow management to identify market opportunities and changes earlier and more systematically.

Equipment Technology & Digitalization

• Analyze technological developments affecting heavy equipment, including automation, electrification, connectivity, telematics, remote diagnostics, digital services, and artificial intelligence.
• Analyze equipment-generated and telematics data to identify potential applications in sales, service, fleet management, customer support, and market development.
• Evaluate opportunities to combine equipment data with customer, sales, service, and market information.
• Support digitalization projects involving connected equipment and data-driven services.
• Evaluate emerging technologies and their potential commercial and operational application across the company's equipment divisions.

Sales & Service Digitalization

• Analyze existing processes and systems supporting equipment sales, service, distribution, inventory management, customer development, and after-sales support.
• Identify opportunities to improve these processes through data integration, automation, artificial intelligence, and digital technologies.
• Develop analytical tools supporting customer prioritization, sales opportunity identification, installed-base management, equipment replacement analysis, and service development.
• Support the development of digital tools providing management with improved visibility of sales pipelines, service opportunities, customer activity, and market potential.
• Work with divisional teams to translate operational requirements into data-driven and technology-based solutions.

Marketing Analytics & Digital Market Development

• Support Marketing through data analytics, automation, and AI-based technologies.
• Analyze customer, market, digital-channel, campaign, and event data to evaluate marketing effectiveness and market reach.
• Develop analytical approaches for customer segmentation, lead identification, campaign measurement, and market-development activities.
• Evaluate AI-based tools for market research, content analysis, customer intelligence, and competitive monitoring.
• Develop automated reporting solutions connecting marketing activities with sales and market-development outcomes.

Facility & Infrastructure Analytics

• Support selected facility-management and development projects through technical data analysis, modeling, and digital tools.
• Analyze operational and facility-related data to support capacity planning, utilization analysis, infrastructure investment, and development decisions.
• Develop analytical models and dashboards supporting facility-development projects and capital-investment decisions.
• Evaluate opportunities to use sensors, automation, energy data, connected systems, and other digital technologies to improve facility utilization and operational efficiency.

Strategic Projects & Executive Technical Support

• Work directly with the Managing Director on selected strategic, technical, analytical, and digital initiatives across the organization.
• Conduct structured quantitative analyses to support strategic business and investment decisions.
• Develop analytical models, simulations, reports, and presentations for strategic projects.
• Research emerging technologies, markets, competitors, and business models and assess their potential impact on the organization.
• Participate in cross-divisional projects requiring the integration of engineering, technology, market, and business information.
• Translate complex technical and quantitative information into clear recommendations for executive decision-making.