Data Analyst - Retail Pricing, SQL, Python, R, Power BI

• The Price Analytics Analyst is responsible for assisting in the development and upkeep of pricing solutions that enable associates to efficiently plan, implement, and track optimal pricing strategies for customers.
  
• This includes integration of statistical models, algorithms, and business rules to shape raw data into pricing actions.
  
• The ideal candidate will possess strong analytical skills, the ability to interpret complex datasets, and a knack for translating findings into clear, actionable plans.
  
• This role requires a strategic mindset, excellent communication, and a collaborative approach to implement revenue-enhancing initiatives aligned with the organization’s overall objectives.
  

What You'll Do
• Collaborate with cross-functional teams (merchandising, technology, data science) to gather requirements and translate business needs into pricing analytics solutions
• Develop and maintain pricing reports and tools to enable timely decision-making and performance monitoring. Implement continuous improvement loops for pricing tools, integrating user feedback and evolving market data to enhance usability and accuracy.
• Participate in UAT testing for pricing tools and feature enhancements before deploying to broader business stakeholders. Perform root-cause analyses on pricing anomalies or unexpected variances to recommend corrective and preventive actions.
• Conduct market and competitor research to identify pricing trends and opportunities, adjusting strategies as needed. Identify, track, and analyze key business drivers to refine and optimize pricing approaches.
• Monitor the effectiveness of pricing strategies, analyzing key performance indicators and recommending continuous improvements.
• Synthesize complex data insights into clear, concise presentations highlighting risks and opportunities. Create visually appealing and understandable data visualizations to communicate complex information effectively.
• Ensure data integrity by validating, cleaning, and enriching large datasets for accurate and reliable analytical output.
• Partner with technology and data engineering teams to enhance data pipelines and analytics infrastructure, ensuring scalable and reliable solutions.
• Maintain strong knowledge of industry best practices and emerging analytical methods, applying them to optimize pricing initiatives.
• Advocate for a data-driven culture within the organization by promoting the strategic value of analytics in pricing decisions.

Qualifications
• Bachelor’s Degree Business Management, Finance, Statistics, Engineering, Marketing, or a related quantitative field.
• Proven experience (2+ years) in pricing, data analytics, market research, revenue management, or related roles within retail, e-commerce, or consumer goods industries.
• Strong analytical and quantitative skills, with the ability to manipulate, interpret, and present complex and large datasets.
• Proficiency in analytical tools such as Excel and SQL for data extraction, cleaning, and modeling with knowledge of Python and R being an asset.
• Experience with Google BigQuery for querying and analyzing large datasets is an asset
• Experience with data visualization platforms such as Tableau, and Power BI to create compelling dashboards and reports.
• Familiarity with statistical modeling concepts (e.g., regression, forecasting, elasticity) and machine learning techniques.
• Demonstrated problem-solving skills, including scenario analysis and root-cause investigation for pricing anomalies.
• Excellent communication skills, with the ability to translate technical findings into clear, actionable insights for non-technical audiences.
• Strong attention to detail and commitment to data accuracy and integrity in all analyses.
• Collaborative mindset, able to partner effectively with cross-functional teams (merchandising, technology, data science).
• Adaptability in a fast-paced environment, with the capacity to handle multiple projects and shifting priorities.
• Knowledge of NIQ, Circana, and Numerator products and services is an asset"