Polar
is hiring
Data Analyst, Systems
About Our Company
With airfreight industry leader Atlas Air Worldwide Holdings, Inc. as its majority shareholder, Polar is 49% owned by DHL Express, and DHL is an anchor customer. Under this long-term, strategic partnership, Polar supports DHL Express with trans-Pacific express service on Polar’s fleet of Boeing 747-400 freighters. With a modern, all-cargo fleet, coverage of major world markets, vast experience in air cargo and a commitment to quality, safety and customer service, Polar Air Cargo is a key player in the facilitation of global trade.
Job Description & Responsibilities
The position will be responsible for executing Cargo Management System (CMS) related duties not limited to manual and process writing, issue management, documentation, correspondence, training, auditing, rating, security administration, technical issue & project management. Additionally, the position should be highly skilled in all aspects of data analytics, including mining, generation, and visualization. You should be committed to transforming data into readable, goal-driven reports for continued innovation and growth.
Responsibilities
- Perform control reviews that include processes related to: system development standards, operating procedures, system access security and control, program change management, backup, and system maintenance
- Constructively work with management to: identify areas for improvement, collectively agree upon appropriate corrective actions, facilitate remediation efforts, and monitor progress to ensure that the Company is timely addressing and remediating significant deficiencies and/or material weaknesses and that jeopardize the achievement of its objectives
- Work with business units to assist in documenting both existing and newly created policies and procedures using established Company standards
- Assist in the development and maintenance of appropriate testing strategies and test plans to enable management to assess the operating effectiveness of the system
- Interact with all levels of management and business units to communicate issues, new projects and related CMS and other systems matters
- Work closely with the Commercial team to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
- Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
- Develop and maintain reports and dashboards by acquiring data from primary and secondary sources. Build scripts that will make our data evaluation process more flexible or scalable across data sets
Requirements
Qualifications
- Bachelor Degree holder in computer science or related discipline, or other academic qualifications compliment with equivalent work experience
- 3+ years of experience as a systems/ data analyst
- CMS experience (Cargo Ops & Res System)
- This individual must have the ability to understand and use technology to solve difficult complex system issues (Computer literate and technically oriented)
- Strong SQL or Excel skills with the ability to learn other analytic tools
- Proven analytic skills, including mining, evaluation, analysis, and visualization
- Experience with data visualization tools like Tableau, Excel etc.
- Demonstrated high level of attention to detail
- Working knowledge of system troubleshooting
- Excellent oral and written communication and presentation skills, strong analytical skills, ability to maintain composure under pressure, and a proactive approach to problem-solving and the overall execution of job responsibilities are all essential qualities necessary to be successful in this position
- Familiarity with air cargo process and IATA standard cargo messaging
- After hours + weekend coverage required. Ability to travel approximately 10%-20%
- Strong knowledge of Microsoft Office (Excel, Word, PowerPoint)
What we offer
Salary Range: $51,500 - $69,000
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.