Senior Data Analyst, Global Real Estate and Retail Franchise

The Senior Data Analyst, Global Real Estate and Retail Franchise will play a pivotal role in shaping and supporting Levi Strauss & Co.'s global real estate and retail franchise strategy. This position involves data-driven decision support for the Global DTC Investment Board, development of mapping tools, and insightful analysis to guide and enhance distribution strategies. A strong focus on automation and Python programming will be key to streamline and elevate reporting processes.

Key Responsibilities:

Support for Global DTC Investment Board:

• Drive the enhancement and ongoing maintenance of the PER hindsighting tool to streamline data collection and reporting.
• Document all approved real estate transactions and deals from diverse market clusters to maintain an accurate, up-to-date database.
• Retrieve and analyze data from PER files to derive strategic insights and hindsight reporting for future investments.
• Develop and implement automated data pipelines using Python to ensure seamless updates and minimize manual effort.

Development of Global Distribution Mapping Tool:

• Build a comprehensive distribution mapping tool on ArcGIS, covering all fleet locations globally and incorporating key performance metrics.
• Ensure the tool is fully integrated with existing databases, such as HANA and ELM, for automated, real-time data updates.
• Use Python to automate data extraction, transformation, and loading processes for consistent and efficient data integration.
• Explore the potential to expand the mapping tool’s capabilities to include corporate real estate data for broader utility across the organization.

Analysis and Reporting to Enhance Distribution Strategy:

• Leverage the distribution mapping tool to perform fleet analysis, including market penetration and growth opportunity assessments.
• Utilize Python for automating and expanding current reports and analytical models to ensure timely, accurate reporting in real estate and franchise areas.
• Conduct ad-hoc analyses to support critical decision-making processes, helping refine and optimize global distribution strategies.
• Implement Python-based dashboards and reporting scripts to automate recurring reports and enable data visualization for strategic insights.

Qualifications:

• Education: Bachelor’s in Business, Real Estate, Data Science, or related field (or equivalent experience) accepted.
• Experience: 3 to 5 years in Retail, Franchise, Account Management, or Strategy Consulting, ideally with international exposure.
• Skills:
  • Proficient in ArcGIS, SAP HANA, ELM, and Python for data automation.
  • Advanced Excel and PowerPoint; comfortable adopting new tools.
  • Strong analytical skills, with experience in store mathematics, P&L, and KPIs.
  • Excellent organizational, influencing, and stakeholder management abilities.
• Attributes: Commercially driven, pragmatic, passionate about retail/fashion.
• Language: Fluent in English.
• Travel: 5-10%.

Additional Skills:

• Proven ability to manage and enhance complex tools and reporting mechanisms.
• Experience with retail market analysis, penetration, and fleet analysis.
• Comfort with managing multiple projects across regions and time zones.