Senior Pricing & BI Analyst

Senior Pricing & BI Analyst

Position: Senior Pricing & BI Analyst

Location: Portland, ME   (Hybrid options available)

Job Type: Full time

Department: Pricing & Commercial

Reports to: Chief Commercial Officer

Job Status: Exempt

Job Overview:

Auto Europe is seeking a Senior Pricing & BI Analyst to join our Pricing & Commercial team. This role will be responsible for developing interactive dashboards, forecasting tools, and visualizations that help the Pricing & Commercial teams evaluate the impact of price changes and make data-driven decisions. 

Key Responsibilities:

·        Design and build interactive dashboards in Power BI to track pricing trends, elasticity, and revenue performance.

·        Collaborate with leadership to understand business goals and define key pricing metrics.

·        Work with raw data sources to extract, clean, and structure data for analysis.

·        Implement forecasting models and pricing analytics to improve decision-making.

·        Identify key insights based on data trends.

·        Ensure data accuracy, consistency, and real-time updates for dynamic pricing analysis.

·        Work closely with the Pricing and Commercial teams to optimize price strategies and measure the effectiveness of price adjustments.

·        Provide training to stakeholders on how to use BI dashboards effectively.

Required Skills & Qualifications:

·        5 years of experience in BI, data analysis, or a similar role.

·        Proficiency with Power BI or similar tools.

·        Strong SQL skills for querying and manipulating large datasets.

·        Experience working with pricing data, revenue forecasting, and financial analysis.

·        Ability to simplify complex data into clear, actionable insights.

·        Strong analytical and problem-solving skills, with attention to detail.

·        Excellent communication skills to convey findings to non-technical stakeholders.

·        Understanding of pricing strategies, market elasticity, and margin analysis is a plus.

 Preferred Qualifications:

·        Experience E-commerce

·        Understanding of the Travel/Tourism Industry

·        Knowledge of Python or R for advanced data analysis is a bonus

·        Understanding of price elasticity, margin optimization, and dynamic pricing models

Education:

·       Bachelor’s degree in quantitative fields such as Data Science, Statistics, Economics, Mathematics, Finance, or Computer Science.

·      Equivalent work experience in data modeling, pricing analytics, or BI may be considered.