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Jimmie Clark
Automatic Data Processing Planner (ADP Planner)
Summary
Highly skilled and experienced Automatic Data Processing Planner (ADP Planner) with a proven track record of success in planning and executing automated data processing operations. Expertise in data analysis, data interpretation, and data profiling and cleaning techniques. Proven ability to manage large-scale data processing projects and collaborate effectively with cross-functional teams. Committed to data governance and security measures to protect sensitive data.
Education
Bachelor’s degree in Computer Science or a related field
April 2017
Skills
- ADP Workforce Now
- ADP Time and Labor
- ADP Run
- ADP TotalSource
- Data Analysis
- Data Interpretation
Work Experience
Automatic Data Processing Planner (ADP Planner)
- Collaborated with crossfunctional teams to gather requirements and ensure seamless data integration and processing.
- Managed largescale data processing projects, meeting deadlines and achieving performance targets.
- Utilized data profiling and cleaning techniques to ensure data quality and integrity.
- Implemented data governance and security measures to protect and safeguard sensitive data.
Automatic Data Processing Planner (ADP Planner)
- Planned and executed automated data processing operations to optimize data accuracy, integrity, and availability.
- Developed and implemented data processing workflows using industrystandard tools and techniques.
- Utilized data processing tools to extract, transform, and load data from various sources into target systems.
- Monitored and analyzed data processing performance to identify areas for improvement and optimization.
Accomplishments
- Successfully implemented a new ADP payroll system, resulting in a 15% reduction in payroll processing time and zero payroll errors
- Developed a comprehensive ADP reporting system that provided realtime insights into employee data, improving decisionmaking by 20%
- Successfully implemented an automated data reconciliation process, eliminating manual errors and reducing processing time by 30%
- Developed a training program for new ADP Planners, resulting in a 25% reduction in onboarding time
- Successfully migrated a complex ADP system to a new platform, ensuring seamless data transfer and minimal business disruption
Awards
- ADP Planner of the Year Award for exceptional performance in planning and managing ADP systems
- Recognized with a Certificate of Excellence for designing an innovative data conversion solution that migrated 10 million employee records seamlessly
- Top Performer Award for consistently exceeding expectations in planning and managing ADP workloads
- ADP Planner of the Quarter Award for outstanding contributions to team performance
Certificates
- ADP Certified Payroll Professional (CPP)
- ADP Certified Time and Labor Professional (CTL)
- ADP Certified Workforce Now Professional (WNP)
- Certified Payroll Compliance Manager (CPCM)
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How To Write Resume For Automatic Data Processing Planner (ADP Planner)
- Showcase your technical skills and experience in ADP Workforce Now, ADP Time and Labor, ADP Run, and ADP TotalSource.
- Highlight your ability to analyze and interpret data, identify trends, and draw meaningful insights.
- Emphasize your project management skills and ability to deliver results on time and within budget.
- Demonstrate your commitment to data security and governance by highlighting your knowledge of industry best practices.
Essential Experience Highlights for a Strong Automatic Data Processing Planner (ADP Planner) Resume
- Planned and executed automated data processing operations to optimize data accuracy, integrity, and availability.
- Developed and implemented data processing workflows using industry-standard tools and techniques.
- Utilized data processing tools to extract, transform, and load data from various sources into target systems.
- Monitored and analyzed data processing performance to identify areas for improvement and optimization.
- Collaborated with cross-functional teams to gather requirements and ensure seamless data integration and processing.
- Managed large-scale data processing projects, meeting deadlines and achieving performance targets.
- Utilized data profiling and cleaning techniques to ensure data quality and integrity.
Frequently Asked Questions (FAQ’s) For Automatic Data Processing Planner (ADP Planner)
What are the key skills and qualifications required to be a successful ADP Planner?
Successful ADP Planners typically possess a Bachelor’s degree in Computer Science or a related field, along with experience in data analysis, data interpretation, and data profiling and cleaning techniques. They are also proficient in using industry-standard data processing tools and techniques, and have a strong understanding of data governance and security measures.
What are the primary responsibilities of an ADP Planner?
ADP Planners are responsible for planning and executing automated data processing operations, developing and implementing data processing workflows, monitoring and analyzing data processing performance, collaborating with cross-functional teams, and managing large-scale data processing projects.
What are the career prospects for ADP Planners?
ADP Planners can advance their careers by taking on leadership roles in data processing and data management, or by specializing in specific areas such as data analytics or data security. They may also pursue further education, such as a Master’s degree in Computer Science or a related field.
What are the top companies that hire ADP Planners?
ADP and Paychex are two of the top companies that hire ADP Planners.
What are the salary expectations for ADP Planners?
The salary expectations for ADP Planners vary depending on their experience, skills, and location. According to Glassdoor, the average salary for ADP Planners in the United States is around \$75,000 per year.
What are the key trends in the field of data processing?
The field of data processing is constantly evolving, with new technologies and trends emerging all the time. Some of the key trends include the adoption of cloud-based data processing platforms, the use of artificial intelligence and machine learning to automate data processing tasks, and the increasing focus on data security and governance.