Analyst II - Revenue Data in Clearwater, FL at PODS

Date Posted: 8/13/2022

Job Snapshot

Job Description


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.



  • 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



  • Typically reports to Director, Business Intelligence and Analytics
  • Job is NOT directly responsible for managing others

Job Requirements

JOB QUALIFICATIONS: Education & Experience Requirements

  • Bachelor’s level Degree in Management Information Systems, Data Science, Analytics, or a closely related field required. Master’s degree strongly preferred.
  • 2+ years professional experience in SQL, Tableau, R or Python
  • Prior experience in Business Analytics, pricing, revenue management and/or quantitative analysis function
  • Demonstrated expert in working with Big Data sourced from both relational databases (SQL Server, Teradata, Oracle etc.) and flat files; experience in Hadoop/Data Lakes cloud sources such as Snowflake, BigQuery, Redshift, Azure Blob, S3 and external data APIs is a plus
  • Strong working background in Data Mining, Data Extraction, & Coding
  • Strong research and analysis skills
  • Demonstrated ability to adapt quickly and learn new skills independently
  • Excellent organization skills
  • Ability to manage competing priorities
  • Ability to generate bold, creative ideas to improve performance
  • Strong problem-solving skills
  • Excellent written and oral presentation skill
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