- Collect and interpret data, analyzing results, and reporting the findings back to relevant stakeholders
- Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and "clean" data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
- Collaborate with data engineering and product management teams
- Be available for on-call support as needed
- Other job duties as assigned
- BS/BA (or higher) in Data Analytics, Statistics, Computer Science, or a related degree
- 2+ years of experience in data analysis or a related field
- A service-oriented mindset
- Experience working with data engineering teams.
- Experience working out of a cloud data management platform
- Experience with Azure Cloud
- Proficiency in SQL required
- Proficiency in data visualization and exploration tools like PowerBI
- Additional working knowledge of Python or Spark is preferred
- Experience with data modeling, cleansing, and visualization techniques
- Strong analytical and problem-solving skills
- Ability to communicate complex data in a simple, actionable way
- Ability to work independently and with team members from different backgrounds
- Excellent attention to detail
- 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
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Data Analyst - Royal Oak, United States - RPM
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Description
Job Description
Job DescriptionData 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 LogisticsTM
Your Role
As a Data Analyst on our Data Engineering team, you will play a critical role in transforming our logistics operations through data-driven insights. You will be responsible for collecting, processing, and analyzing industry specific data to help us understand trends, optimize operations, and make informed decisions. Your work will directly contribute to enhancing our proprietary technology tools and improving our service offerings to our stakeholders and customers.
Day-to-Day Responsibilities
Preferred Qualifications
Compensation and Benefits
Come as You Are
RPM 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.
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