JOB DESCRIPTION
The Senior 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.
LOCATION
Bengaluru, India
FULL TIME/PART TIME
Full time
