Sr Analyst - Revenue Data (Marketing Analytics)

JOB SUMMARY

The Senior Revenue Data Analyst will assume lead roles on projects leveraging advanced data analytics skills and, by partnering with Revenue Management, Sales / Service, IT and Finance develop analyses, tools, and reports to support business decisions. Demonstrated expert in using SQL, Python, SAS or R the Senior Revenue Data Analyst will be responsible for working on complex problems involving large sets of structured and unstructured data.

This role is required at PODS headquarters in Clearwater, FL. The onsite work schedule is Monday - Thursday ONSITE with Friday remote.

This is NOT a remote opportunity.

ESSENTIAL DUTIES AND RESPONSIBILITIES

TACTICAL :

• Develop, disseminate, and present reports to internal stakeholders on revenue metrics to include customer, market and segment performance, competitive pricing activity, distribution channel performance, and capacity utilization
• Adept data programmer, develops complex and performance optimized programs in Python and SQL
• Maintain and advance departmental data analysis tools, templates, and techniques
• Present complex findings to senior management and non-technical users in clear, concise, and convincing manner both in writing and interactive presentation setting
• Proactively track key metrics, identify trends that warrant deeper analysis, and advise decision makers of the business implications
• Assist management in representing Revenue Management in data governance projects, work with IT to resolve identified data issues and deficiencies
• Assist management in mentoring and training professionals in less senior positions
• Under minimal supervision translate internal stakeholder questions into actionable and insightful reports
• Develop new reporting tools to accommodate evolving business needs
• Develop and monitor data quality metrics to ensure that reporting used to make decisions is both accurate and comprehensive
• Practical understanding of micro-economic concepts, financial, and pricing / yield management principles
• Strong proficiency in Microsoft Office applications; particularly advanced Excel functionality including Pivot Tables, Macros, Lookups, external data connectivity, and logic functions. VBA a plus
• SQL and Python programming
• Tableau, R, Python, MS Azure, Google Cloud Platform

JOB QUALIFICATIONS : Education & Experience Requirements

Unsolicited Resumes from Third-Party Recruiters

Please note that as per PODS policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our Inclusive Diversity values.Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that PODS will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person, or entity.