Sr Analyst - Revenue Data (Marketing Analytics)

PODS•Clearwater, FL

47d•Onsite

About The Position

At PODS (Portable On Demand Storage), we don't just lead the moving and storage industry we redefined it. Since 1998, we've empowered customers across the U.S. and Canada with flexible, portable solutions that put customers in control of their move. Whether it's a local transition or a cross-country journey, our personalized service makes any experience smoother, smarter, and more human. We're driven by a culture of trust, authenticity, and continuous improvement. Our team is the heartbeat of our success, and together we strive to make each day better than the last. If you're looking for a place where your work matters, your ideas are valued, and your growth is supported- PODS is your next destination. 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. General Benefits & Other Compensation: Medical, dental, and vision insurance Employer-paid life insurance and disability coverage 401(k) retirement plan with employer match Paid time off (vacation, sick leave, personal days) Paid holidays Parental leave / family leave Bonus eligibility / incentive pay Professional development / training reimbursement Employee assistance program (EAP) Commuter benefits / transit subsidies (if available) Other fringe benefits (e.g. wellness credits) Note: 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.

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

Responsibilities

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