Revenue Management Associate

StorHub Self Storage; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

StorHub Self Storage is seeking a highly motivated Revenue Management Associate to join our Revenue Management team. This role involves owning data pipelines and dashboards used across ops, finance, marketing, and pricing, and developing revenue metrics.

You will collaborate with cross-functional teams to support budgeting processes, analyze operational bottlenecks, and drive improvements in a fast-paced environment. Proficiency in SQL and Python is essential.

Qualifications

• Strong analytical and problem-solving skills applied to operations.
• Hands-on attitude to day-to-day processes and results.
• Experience building and maintaining data pipelines and dashboards.
• Proficiency in SQL and Python for data analysis and tooling.
• Ability to coordinate with multiple teams to align priorities.

Responsibilities

• Own data pipelines and dashboards across ops, finance, marketing, and pricing.
• Develop and standardize revenue metrics and data sources.
• Support monthly reviews and annual budgeting with revenue insights.
• Analyze and improve core operational processes and inefficiencies.
• Collaborate on high-priority projects with quick turnarounds.
• Work with leadership to address bottlenecks and recommend actions.
• Contribute to the design and build-out of a central data platform.

Skills

SQL

Python

Data pipelines

Dashboards

Problem solving

Stakeholder management

Job description

We are seeking a highly motivated and passionate Revenue Management Associate to join our Revenue Management team. This role will involve diving deep into operational processes, identifying challenges, and driving impactful changes in uncertain and fast-paced environments. The ideal candidate has a strong data and operational background, thrives on solving complex problems, and is unafraid to roll up their sleeves to get things done. They will work across teams to implement solutions, deliver results, and support the company’s most critical initiatives.

Key Responsibilities:

• Own the data pipelines and dashboards used across ops, finance, marketing, and pricing, and develop and standardize the revenue metrics behind them, ensuring alignment on methodologies and data sources.
• Support the monthly business review (MBR) and annual budgeting processes, preparing the revenue analysis, commentary, and inputs that inform performance reviews and planning.
• Analyze and improve core operational processes, identifying inefficiencies and implementing effective solutions.
• Collaborate with cross-functional teams to deliver high-priority special projects, often requiring quick turnarounds and hands-on involvement.
• Work closely with leadership to address operational bottlenecks and provide actionable recommendations.
• Support the design and build-out of a central data platform, contributing to the architecture and roadmap alongside data engineering.

Required Skills and Competencies:

• Strong problem-solving skills: Ability to dive into operational challenges, diagnose root causes, and implement practical solutions.
• Hands-on mindset: Willingness to get involved in day-to-day operations to ensure results are achieved.
• Project management skills: Capable of managing multiple initiatives and meeting tight deadlines.
• Stakeholder management: Proven ability to collaborate with cross-functional teams and align stakeholders on priorities.
• Adaptability: Thrives in uncertain and fast-changing environments, with a proactive and positive attitude.
• Technical Proficiency: Proficient in SQL and Python, with the ability to build and maintain data pipelines and work with large datasets.

Behavioural Attributes:

• Problem-Solver: You thrive on solving complex problems and finding creative solutions.
• Growth Mindset: You are eager to learn and adapt in a fast-paced environment.
• Passion for Automation: You love leveraging technology to improve processes and efficiency.
• Independent & Collaborative: You excel at working autonomously and in team settings.