DATA PROCESSOR SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 8, 2024 - The Data Processor excels at identifying root causes through data analysis, managing people globally, and implementing control practices with a risk-based approach. This role demands strong communication skills, both written and verbal, and proficient use of MS Office tools, particularly Excel and PowerPoint, for effective teamwork under tight deadlines. Additionally, the ability to engage with Legal and Credit teams, manage multiple projects simultaneously, and troubleshoot using advanced computer skills on Windows platforms ensures comprehensive competency in diverse operational environments.
Essential Hard and Soft Skills for a Standout Data Processor Resume
- Data Entry
- Data Analysis
- Data Validation
- SQL
- Excel Proficiency
- Data Cleaning
- Database Management
- Data Warehousing
- Data Mapping
- Data Quality Assurance.
- Attention to Detail
- Problem-Solving
- Time Management
- Communication
- Adaptability
- Critical Thinking
- Team Collaboration
- Organizational Skills
- Analytical Thinking
- Multitasking.
Summary of Data Processor Knowledge and Qualifications on Resume
1. BS in Data Science with 3 years of Experience
- Experience in data processing and reporting of deliverables, preferably, in offshore renewable survey works.
- Experience in the use of different software packages
- Knowledge of Microsoft Office applications and Microsoft project experience
- Experience with USBL systems. iXblue GAPS experience
- Experience with MBES systems Kongsberg Systems or equivalent. R2Sonic 2024
- Experience with Survey management software.
- Familiarity with Qinsy
- Experience with Magnetometer systems Geometrics
- Experience with Sub Bottom Profilers, hull-mounted and pole-mounted.
- Familiarity with iXblue 3.5 T3
- Experience with Side Scan Sonar systems.
- Familiarity with environmental and geotechnical data collection and processing
2. BA in Information Systems with 2 years of Experience
- Able to isolate root cause by looking at available data.
- People management in a Global environment.
- Ability to manage control practices demonstrating a risk-based approach.
- Exhibit strong written and verbal communication skills.
- Able to interact with Legal and Credit teams.
- Ability to proficiently use MS Office products, particularly Excel and PowerPoint.
- Excellent communication (written and verbal)
- Ability to work to tight deadlines as part of a team
- Ability to work on several initiatives concurrently and cope with changes in priorities
- Computer experience with both Windows 7 and Windows 10
- Effective problem-solving skills.
3. BS in Business Analytics with 3 years of Experience
- Knowledge of MS Windows & Office software including IE, Outlook, Word, and Excel
- Knowledge of Access, FTP (SFTP/FTP/FTPs), PGP, programming/scripting concepts, PowerShell
- Basic knowledge and understanding of bank and other financial data
- Experience in using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems
- Ability to interact with customers for issue resolution
- Ability to identify data problems and review related information to develop and evaluate options and resolve issues
- Ability to manage time to meet multiple daily delivery schedules
- Understand and follow established processes, procedures, and workflows
- Ability to prioritize and handle multiple tasks in a client-oriented attitude.
- Strong organizational and communication skills are required for client service.
- Experience in SPSS and/or Quantum or any other statistical package knowledge constitutes
4. BA in Statistics with 4 years of Experience
- Advanced knowledge of DP tools (SPSS, Wincross, Excel, Askia) Daisie and Advanced analysis (Correlation, Regression, Factor analysis, Segmentation, Typology)
- Experience in Daisie and Advanced analysis (Correlation, Regression, Factor analysis, Segmentation, Typology)
- Able to understand questionnaire design routing (logic, masking, piping, filters, plausibility checks, quotas, flash checking, least count, rotated/derotated data, stacked data)
- Advanced knowledge of complex data structure and how the data was captured in the data set
- Structured approach, process compliant while keeping flexibility to meet client expectations
- Ability to determine causes of operating errors and make sound decisions about next actions - ability to solve problems & look for improvements
- Advanced English communication skills (written and verbal)
- Ability to receive and communicate technical information accurately and timely
- Strong computer and software skills
- Strong attention to detail, ability to work on a computer for extended periods of time