Business Analyst – IoT Product and Pricing Strategy (m/f/d)

Your Role 

As a Business Analyst – IoT Product and Pricing Strategy, you will play a critical role in driving product and pricing optimization through data-driven insights. By leveraging your analytical expertise and business acumen, you will support the development of strategies that maximize market competitiveness, customer value, and profitability. 

Your Impact 

Product and Pricing Strategy Development 

• Conduct market research and competitive analysis to shape pricing and product strategies. 
• Develop pricing models balancing market competitiveness, customer value, and profitability. 
• Analyze pricing elasticity and assess impacts on revenue and market share. 
• Deliver detailed product and pricing recommendations, including financial projections. 

Product Performance Analysis 

• Perform detailed analyses of product performance across market segments. 
• Track and evaluate key performance indicators (KPIs) such as revenue, margin, and market penetration. 
• Build and maintain financial models to forecast product outcomes. 
• Identify opportunities for optimizing the product portfolio. 

Data Analysis and Reporting 

• Collect and analyze datasets from diverse sources to generate actionable insights. 
• Develop advanced statistical and financial models. 
• Create dashboards and visualization tools for the Product Organization. 
• Prepare executive-level presentations summarizing insights and strategic recommendations.

 Cross-Functional Collaboration

• Partner with sales, marketing, product management, engineering, network access, and finance teams. 
• Effectively communicate analytical findings to stakeholders at various levels. 
• Support strategic decision-making processes. 
• Participate in product planning and go-to-market strategy meetings. 

 

Your Skills 

• Practical experience in business analysis, pricing strategy, or product management, supported by a bachelor's degree in business administration, Economics, Finance, or a related field  

• Analytical Expertise: 

• Advanced analytical and quantitative skills. 

• Proficiency in statistical analysis software (e.g., R, Python, SPSS). 

• Expert-level Excel capabilities and strong financial modeling expertise. 

• Technical Proficiency: 

• Advanced skills in SQL, Python, or R. 

• Experience with pricing optimization software and business intelligence tools (e.g., Tableau, Power BI, Superset). 

• Strong financial modelling capabilities 

• Key Strengths: 

• Strong communication and presentation skills. 

• Proven ability to collaborate across functional teams. 

• Experience in IoT and/or SaaS consumption-based models is a strong advantage.