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

· Bachelor’s level Degree in Management Information Systems, Data Science, Analytics, or a closely related field

required .

Master’s degree strongly preferred.

· 4 - 7 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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