Sr Analyst

1 week ago

Clearwater, FL, United States PODS Full time

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.

What you will do:

· 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

What you will need to have:
  • 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


No 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.

DISCLAIMER

The preceding job description has been designed to indicate the general nature of work performed; the level of knowledge and skills typically required; and usual working conditions of this position. It is not designed to contain, or be interpreted as, a comprehensive listing of all requirements or responsibilities that may be required by employees in this job.

Equal Opportunity, Affirmative Action Employer

PODS Enterprises, LLC is an Equal Opportunity, Affirmative Action Employer. We will not discriminate unlawfully against qualified applicants or employees with respect to any term or condition of employment based on race, color, national origin, ancestry, sex, sexual orientation, age, religion, physical or mental disability, marital status, place of birth, military service status, or other basis protected by law.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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