QTS Realty Trust

Logistics Data Analyst

QTS Realty Trust$70K — $95K *
US-AnywhereRemote in United States
Transportation
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Supply Chain, Analytics, Information Systems, Business, or a related field preferred.
  • Previous experience in supply chain analytics, business analytics, or reporting roles.
  • Strong proficiency in SQL for data analysis and reporting.
  • Experience building reports or dashboards using tools such as Power BI or similar.
  • Proficiency in Microsoft Office suite.
  • Experience working with cloud data warehouses, preferably Snowflake.

Responsibilities

  • Design, build, and maintain reports and dashboards to support Supply Chain and Logistics operations.
  • Write, optimize, and maintain SQL queries to extract, transform, and analyze data from multiple source systems.
  • Develop and maintain data models that support consistent and trusted reporting.
  • Partner with Supply Chain, Logistics, and Operations stakeholders to gather requirements and translate business needs into reporting solutions.
  • Validate data accuracy and troubleshoot discrepancies between source systems and reporting outputs.
  • Automate and streamline recurring reports to reduce manual effort and improve reporting reliability.
  • Establish and maintain business metrics and KPIs related to inventory, logistics execution, and operational performance.

Benefits

  • Opportunity to work in a fast-growing company that values data-driven decision making.
  • Collaborative environment with cross-functional team interactions.
  • Role contributes directly to operational performance improvement and efficiency.
  • Support for continuous learning and professional development in analytics and reporting solutions.
Full Job Description
QTS Data Centers is continuing to build out its supply chain analytics capabilities to better support rapid growth and increasingly complex operations. The Supply Chain Analyst will be a key member of the Supply Chain & Logistics team, responsible for developing reports, dashboards, and data models that provide clear visibility into inventory, logistics execution, and operational performance.

We are seeking a Supply Chain Analyst to support data-driven decision making by transforming supply chain data into actionable insights. Working closely with Supply Chain, Logistics, Operations, and leadership teams, this role will design, build, and maintain scalable reporting solutions using SQL and cloud-based data platforms. This role will be pivotal in reducing manual reporting, improving data accuracy, and enabling faster, more informed decisions across the organization.

Being effective in this role requires a highly analytical and curious individual who thrives in a fast-moving, evolving environment. Strong communication skills, attention to detail, and the ability to translate business needs into technical solutions are critical for success.

ESSENTIAL DUTIES AND RESPONSIBILITIES - Other duties may be assigned.

  • Design, build, and maintain reports and dashboards to support Supply Chain and Logistics operations.


  • Write, optimize, and maintain SQL queries to extract, transform, and analyze data from multiple source systems.


  • Develop and maintain data models (fact and dimension tables) that support consistent and trusted reporting.


  • Partner with Supply Chain, Logistics, and Operations stakeholders to gather requirements and translate business needs into reporting solutions.


  • Validate data accuracy and troubleshoot discrepancies between source systems and reporting outputs.


  • Automate and streamline recurring reports to reduce manual effort and improve reporting reliability.


  • Establish and maintain business metrics and KPIs related to inventory, logistics execution, and operational performance.


  • Document data definitions, reporting logic, and assumptions to ensure consistency and transparency.


  • Support the continuous improvement of analytics processes, tools, and data governance practices.


BASIC QUALIFICATIONS

  • Bachelor's degree in Supply Chain, Analytics, Information Systems, Business, or a related field preferred.


  • Previous experience in supply chain analytics, business analytics, or reporting roles.


  • Strong proficiency in SQL for data analysis and reporting.


  • Experience building reports or dashboards using tools such as Power BI or similar.


  • Proficiency in Microsoft Office suite.


  • Experience working with cloud data warehouses, preferably Snowflake.


PREFERRED QUALIFICATIONS

  • Understanding of data modeling concepts (e.g., star schema, fact and dimension tables).


  • Experience supporting supply chain, logistics, inventory, or operations analytics.


  • Familiarity with ERP systems (e.g., Oracle or similar).


  • Experience supporting executive-level reporting and analytics.


KNOWLEDGE, SKILLS, AND ABILITIES

  • Strong analytical and problem-solving skills with a high attention to detail.


  • Ability to translate complex data into clear, actionable insights.


  • Strong organizational skills with the ability to manage multiple priorities and deadlines.


  • Excellent communication and interpersonal skills, with the ability to collaborate across teams.


  • Ability to work independently and in a team environment in a fast-paced, changing landscape.


  • Self-motivated, curious, and proactive in identifying opportunities for improvement.


#LI-MC1

About QTS Realty Trust

QTS is the digital infrastructure leader – Powered by People, driven by purpose and fueled by a spirit of innovation. We have a 20-year track record of designing, building and operating world-class data centers, delivering the critical infrastructure for the world’s largest and fastest-growing companies. We have more than 75 data centers in operation or under development across the United States and Europe.
Learn more about QTS Realty Trust
Size
82,000 employees
Market Cap
$5.3 billion
Industry
Net Income
$15.9 million
Founded
2005
5 Year Trend
+11.6%
Revenue
$539.3 million
NASDAQ

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