Data Analyst
RPM is an international non-asset-based logistics and supply chain solutions company. Our focus is to provide customizable solutions tailored to support today’s complex supply chains. As one of the fastest-growing logistics companies in North America, RPM executes thousands of shipments per month through a combination of digital innovations and an unwavering commitment to customer success. RPM has evolved as a disruptive and differentiated, end-to-end transportation service provider, to meet the ever-changing needs of its customers.
RPM proudly services the some of the most recognizable and transformative companies in the world as The Driving Force in Logistics™Your RoleAs a Data Analyst at RPM, you will take ownership of designing, developing, and maintaining interactive reports and dashboards to support decision-making across the business. You will work closely with stakeholders to define KPIs, ensure data integrity, automate reporting workflows, and enhance data accessibility. In this role, you will be an integral part of a collaborative team, working hand-in-hand with data engineers to ensure seamless data integration, tackle data quality challenges, and optimize reporting processes.
This role requires a balance of technical expertise, analytical thinking, and business acumen to deliver actionable insights that drive business success.Day-to-Day Responsibilities
- Design, develop and optimize interactive reports, dashboards, and scorecards using Power BI.
- Design and refine KPIs and metrics to measure business performance.
- Write and optimize SQL queries to transform, explore, and analyze large datasets.
- Ensure data accuracy and integrity by implementing validation processes.
- Implement and manage role-based security and user access for reporting.
- Collaborate with Data Engineers to enhance data models and improve reporting efficiency.
- Facilitate discussions with stakeholders to gather reporting requirements and translate business needs into technical solutions.
- Present insights and recommendations to non-technical audiences effectively.
Preferred Qualifications
- Bachelor’s degree in MIS, Data Science, Business Analytics, Computer Science, or related field.
- 3+ years of experience in data analytics or business intelligence.
- Strong proficiency in SQL for data manipulation and querying.
- Previous hands-on experience with Power BI, Tableau, Domo, or similar BI tools.
- Knowledge of data modeling, ETL/ELT processes, and data warehousing concepts.
- Familiarity with Power Query (M), DAX, and role-level security (RLS).
- Ability to translate data insights into actionable business recommendations.
- Strong communication and presentation skills for sharing data insights.
- Skilled in documenting data processes, workflows, and reporting standards for clarity and consistency.
- Experience with cloud platforms (Azure, AWS, GCP, or similar).
Compensation and Benefits
- Base + VC (based on achieving company goals)
- BCBS (medical), Delta Dental & VSP (vision)
- Life insurance, short & long-term disability – paid by RPM
- Maternity & Paternity Leave
- 401(k) with generous employer match
- Unlimited PTO – use it!
Come as You AreRPM is an Equal Opportunity Employer. RPM does not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided based on qualifications, merit, and business need.This job description is intended to define the general nature of the work performed by employees assigned to this role. It is not intended to be an exhaustive list of all responsibilities, duties, and skills of employees in this role.
All our employees may be required to perform duties outside of their normal responsibilities from time to time.Recruitment Agency Notification: RPM does not accept unsolicited agency resumes. Do not forward resumes to our careers email address, RPM employees, or any other company location. RPM is not responsible for any fees related to unsolicited resumes.
