Data Processing Technician Resume Guide

Data processing technicians are responsible for collecting and organizing data, as well as entering it into a computer system. They use software to analyze the information, create reports, and ensure accuracy of the data before using it in other tasks.

Data processing is your specialty, and you know it. But no one else does–not yet anyway. To prove to employers that you’re the best candidate for the job, writing a resume that highlights your qualifications and experience is key.

This guide will walk you through the entire process of creating a top-notch resume. We first show you a complete example and then break down what each resume section should look like.

The guide is divided into sections for your convenience. You can read it from beginning to end or use the table of contents below to jump to a specific part.

Full Resume Example Summary Experience Skills Education Certifications Contact Info Cover Letter Templates

Data Processing Technician Resume Sample

Newton Jast
Data Processing Technician

[email protected]
404-455-8851
linkedin.com/in/newton-jast

Summary

Skilled data processing technician with 5+ years of experience in data entry, analysis and manipulation. Successfully managed projects involving the collection and compilation of large sets of complex data from multiple sources. Proven track record for accuracy and attention to detail while meeting tight deadlines. Experienced with Microsoft Excel, Access databases, SQL queries, SAS programming language and SPSS statistical software programs.

Experience

Data Processing Technician, Employer A
Washington, Jan 2018 – Present

Structured and organized data into an array of computer systems and networks, significantly increasing overall efficiency by 30%.
Streamlined processes for incoming data, improving accuracy levels and reducing processing time by 35%.
Meticulously monitored the quality control of all processed information to ensure accuracy before release; improved system reliability rate by 20% in one year.
Mentored junior staff members on proper data entry techniques as well as use of software programs used in daily operations; trained 8 new hires within a 3-month period.
Facilitated smooth transitions between various platforms while maintaining high standards for security protocols; achieved 100% compliance with organizational guidelines within 6 months of employment.

Data Processing Technician, Employer B
Bayamon, Mar 2012 – Dec 2017

Improved data processing speed and accuracy by 20%, reducing time spent on data entry tasks by an average of 3 hours per day.
Analyzed customer databases to identify discrepancies and errors, updating records when necessary with 100% accuracy rate.
Reliably processed daily client requests in a timely manner; maintained excellent communication with clients throughout the entire process to ensure satisfaction of services provided.
Optimized existing software programs used for data inputting purposes, increasing productivity levels significantly while meeting all project deadlines consistently without fail.
Automated manual processes such as sorting through large amounts of paperwork using barcode scanners & digital imaging technologies; enabled efficient storage & retrieval of information from external hard drives or cloud-based systems quickly & securely.

Skills

Database Management
Data Analysis
Data Mining
Data Visualization
ETL Processes
Data Warehousing
SQL
Big Data
Machine Learning

Education

Associate Degree in Data Processing Technology
Educational Institution XYZ
Nov 2011

Certifications

Certified Data Processing Technician
American National Standards Institute (ANSI)
May 2017

Related Resume Examples

All Examples

1. Summary / Objective

Your resume summary should provide the hiring manager with a snapshot of your experience as a data processing technician. This is where you can mention your skills in working with databases, programming languages and software applications; any certifications or qualifications that make you stand out from other applicants; and how you have successfully managed complex projects in the past.

Below are some resume summary examples:

Professional data processing technician with 7+ years of experience in data entry, analysis and manipulation. Skilled at using various software programs to analyze large datasets quickly and accurately. At XYZ Corporation, successfully identified a recurring error pattern that saved the company an estimated $20,000 per year. Seeking a challenging position where I can use my skillset to improve processes for data accuracy and efficiency.

Accomplished data processing technician with 10+ years of experience in the field. Recognized for developing and implementing efficient systems to streamline data entry processes, leading to improved accuracy and faster turnaround times. Proven ability to manage multiple projects while adhering to timelines and budgets. Experienced in working with a wide range of software solutions including MS Excel, Access, SQL databases, etc.

Detail-oriented data processing technician with 5+ years of experience in data entry, analysis and quality assurance. Experienced in verifying accuracy of information and ensuring compliance with company standards. At ABC Corporation, successfully maintained a 99% accuracy rate on all projects while reducing average turnaround time by 24%. Proven ability to quickly learn new software programs for efficient job performance.

Hard-working data processing technician with a history of accurately collecting, organizing and analyzing data. 5+ years of experience working in high-volume environments where accuracy is key. As lead tech for XYZ Company I improved the accuracy rate by 25% and reduced errors to less than 1%. Seeking to join ABC Corp as their next Data Processing Technician and help them streamline their operations.

Reliable data processing technician with extensive experience in data entry and analysis. At XYZ, managed the company’s digital database of customer information and financial records. Processed over 500 customer orders per week while maintaining an accuracy rate of 99%. Enhanced business operations by developing automated processes for ordering supplies, creating reports, and tracking sales trends.

Well-rounded data processing technician with 8+ years of experience in data entry, analysis, and reporting. Skilled at managing large databases while ensuring accuracy and efficiency. At ABC Corporation, maintained 99% accuracy rate on over 1 million records processed per month. Seeking to bring expertise to XYZ Technologies as a Data Processing Technician for their rapidly growing team.

Enthusiastic data processing technician with 5+ years of experience in data extraction, manipulation, and analysis. Proven track record of increasing accuracy and efficiency through the use of technology solutions. Seeking to join ABC Company as a Data Processing Technician where I can utilize my strong technical skills to ensure that all customer records are accurate and up-to-date.

Amicable data processing technician with 3+ years of experience in the IT field. Eager to bring my knowledge and expertise to ABC Technology, where I can help streamline data entry processes while also providing superior customer service. At XYZ Company, reduced data errors by 15% through improved systems monitoring and quality assurance efforts.

2. Experience / Employment

The work history/experience section is where you provide details on your past roles. This should be written in reverse chronological order, meaning the most recent job is listed first.

When writing this section, use bullet points to make it easier for the reader to digest what you have said quickly and efficiently. You want to include detail here as well; instead of saying “Processed data,” say something like “Accurately processed 10+ million records daily using Python scripts.” Doing so will give employers an idea of how productive and efficient you are at completing tasks.

To write effective bullet points, begin with a strong verb or adverb. Industry specific verbs to use are:

Processed
Analyzed
Monitored
Recorded
Updated
Resolved
Generated
Implemented
Reconciled
Assessed
Evaluated
Managed
Optimized
Automated

Other general verbs you can use are:

Achieved
Advised
Compiled
Coordinated
Demonstrated
Developed
Expedited
Facilitated
Formulated
Improved
Introduced
Mentored
Participated
Prepared
Presented
Reduced
Reorganized
Represented
Revised
Spearheaded
Streamlined
Structured
Utilized

Below are some example bullet points:

Reorganized and streamlined data operations by implementing automated processes, resulting in an increase of 12% in overall efficiency.
Processed over 200 customer requests and inquiries every day using various software programs; successfully resolved 50+ challenging cases within 24 hours.
Advised senior management on the use of new technologies to optimize data processing activities and improve business performance; reduced costs associated with manual labor by $4,000 a month.
Effectively maintained databases through regular backups & updates, ensuring that all records were securely stored for future reference; saved 2+ hours daily on administrative tasks related to database maintenance & troubleshooting issues.
Compiled complex reports from large datasets within tight deadlines while upholding accuracy standards of 99%; created 7 detailed presentations for key stakeholders outlining findings from analysis conducted across multiple sources over two weeks’ time period.

Demonstrated advanced knowledge of data processing systems to enter, store and retrieve information for over 75 clients per day; reduced customer service wait times by 32%.
Resolved technical issues with various software applications in a timely manner and updated system databases accordingly; decreased total downtime from 6 hours to 2 hours on average.
Resourcefully implemented new methods to streamline the data entry process and reduce manual effort, resulting in an increase of productivity by 20%.
Assessed accuracy of incoming & outgoing documents for completeness prior to further processing and flagged discrepancies as needed; improved document accuracy rate by 40% within 3 months.
Managed daily operations related to organizing paperwork, filing records electronically & disposing outdated files according to regulatory standards; saved $1,000 annually due to efficient processes established.

Reconciled data from multiple sources to ensure accuracy and completeness of information, resulting in a 98% correct rate for the past year.
Achieved a 50% reduction in data processing time by introducing automated tools & systems into daily operations.
Evaluated over 10 million records per month on various data entry tasks, ensuring that all were properly updated without errors or omissions; developed creative methods to speed up data transfer processes by 15%.
Updated customer accounts using newly acquired skills with database software such as SQL & Oracle; successfully maintained an error-free system while providing accurate information upon request within 1 hour turnaround time 95% of the time.
Actively monitored day-to-day transactions and tracked changes in user access rights, securing confidential company files against unauthorized use at all times with no security breaches reported during employment tenure.

Implemented automated data processing procedures to accurately process over 200,000 records a day, resulting in an average 17% decrease of manual labor time.
Coordinated with other teams and departments to ensure that all incoming data was accurate before entering the system; prevented critical errors from occurring by 80%.
Revised existing algorithms and developed new ones for seamless integration of complex datasets into various systems without any discrepancy or disruption; improved efficiency rate by 25%.
Expedited the transfer of large amounts of structured and unstructured data across internal networks using FTP/SFTP protocols within 2 minutes on average; reduced bulk file transfers by 20 hours every week.
Diligently monitored input/output operations and quality control processes during each stage of production while adhering to all standard operating procedures related to security and confidentiality at all times.

Spearheaded the processing of large volumes of data, manually and via automated software tools, to ensure timely delivery of reports containing up-to-date information; processed 4600+ records daily with 100% accuracy.
Represented the department in internal meetings by providing comprehensive analysis on datasets collected from various sources and created custom dashboards for stakeholders’ better understanding of trends.
Independently developed a new system that reduced the time needed for data entry by 20%, allowing staff members to focus more on other tasks such as report generation and presentations preparation.
Monitored quality control processes during each step of the data processing cycle to guarantee all outputs were accurate before being distributed internally or externally; achieved 99% accuracy rate over 5 months period consistently.
Reduced manual errors during sorting & organizing stage through automation scripts written using Python programming language which enabled faster file management with less effort required from operations team members.

Generated over 500 reports with accurate data for various departments and clients, ensuring that all information was consistent, up-to-date and without errors.
Participated in the design of new database systems to support business operations; increased system efficiency by 17% resulting in improved response times on customer inquiries.
Utilized software programs such as Microsoft Excel & Access to create tables, queries & forms while troubleshooting any technical issues that arose during data processing procedures.
Recorded over 10 million records into databases accurately within a two month period; reduced manual entry time per record by 12%.
Competently operated multiple computer networks encompassing more than 300 users while providing excellent technical support services when needed; decreased service downtime by 20%.

Formulated and implemented efficient data processing procedures that reduced the time needed to convert raw documents into digital formats by 35%.
Prepared and processed over 1,000 invoices per week with a 98% accuracy rate while adhering to strict quality control guidelines.
Introduced automated tracking systems for both incoming and outgoing client data, streamlining operations and saving 10 hours of labor weekly.
Developed customized scripts for automating mundane tasks related to data entry, leading to an 80% improvement in overall productivity levels within 3 months of implementation.
Substantially increased customer satisfaction through quick turnaround times on projects with an average completion rate of 95%.

3. Skills

Even though two organizations are hiring for the same role, the skillset they want an ideal candidate to possess could differ significantly. For instance, one may be on the lookout for an individual with experience in SQL and the other may prefer someone with knowledge of C++.

As such, it is important to tailor the skills section of your resume for each job you are applying for. This will help ensure that any applicant tracking systems used by employers can easily pick up on the keywords relevant to their position.

It’s also a good idea to discuss these qualifications in more detail elsewhere on your resume; this could be done either through providing examples or elaborating upon how you have applied them throughout your career thus far.

Below is a list of common skills & terms:

Big Data
Data Analysis
Data Mining
Data Security
Data Visualization
Data Warehousing
Database Management
ETL Processes
Machine Learning
SQL

4. Education

Including an education section on your resume will depend on how far along you are in your career. If you just graduated and have no work experience, it is essential to mention your educational background below the objective statement. However, if you have significant work experience that needs showcasing, an education section may not be necessary.

If an education section is included, try to highlight any courses or subjects related to data processing technology that might give potential employers a better understanding of the skills and knowledge you bring to the table for this role.

Associate Degree in Data Processing Technology
Educational Institution XYZ
Nov 2011

5. Certifications

Certifications are a great way to demonstrate your knowledge and proficiency in a particular field. They are an important asset for any job seeker, as they show potential employers that you have the necessary skills and qualifications required for the role.

Including certifications on your resume can help you stand out from other applicants by showing that you have taken extra steps to gain expertise in certain areas of interest or industry-specific topics. Make sure to list all relevant certifications so hiring managers know exactly what credentials you possess!

Certified Data Processing Technician
American National Standards Institute (ANSI)
May 2017

6. Contact Info

Your name should be the first thing a reader sees when viewing your resume, so ensure its positioning is prominent. Your phone number should be written in the most commonly used format in your country/city/state, and your email address should be professional.

You can also choose to include a link to your LinkedIn profile, personal website, or other online platforms relevant to your industry.

Finally, name your resume file appropriately to help hiring managers; for Newton Jast, this would be Newton-Jast-resume.pdf or Newton-Jast-resume.docx.

7. Cover Letter

Cover letters are an invaluable way to make a good first impression with potential employers. They are usually two to four paragraphs in length and provide more details about your qualifications, work experience and personal interests than what is included on your resume.

Writing a cover letter for each job you apply for can be time-consuming but it’s essential if you want to stand out from the competition. It allows recruiters to get a better understanding of who you are as both a professional and person, making them more likely to choose you over other candidates.

Below is an example cover letter:

Dear Juwan,

I am writing to apply for the Data Processing Technician position at ABC Company. As a highly skilled and motivated data processing professional with 10+ years of experience, I am confident I will make significant contributions to your organization.

In my previous role as a Data Processing Specialist at XYZ Corporation, I was responsible for overseeing all data entry operations and leading a team of five data entry clerks. In this fast-paced, high-volume environment, I processed more than 200,000 pieces of data per month while maintaining a 99.9% accuracy rate. I also developed successful relationships with other departments within the company in order to ensure smooth and efficient data processing operations.

I am dedicated to ensuring that all data is processed accurately and efficiently by consistently adhering to established procedures and guidelines. I have extensive experience troubleshooting issues with software applications and databases, and I am confident that I can quickly resolve any problems that may arise during data processing activities. Additionally, I have a strong attention to detail which allows me to catch errors that others may overlook.

Data processing technicians must be able to work well under pressure while maintaining strict attention to detail; both of these qualities are strengths of mine. My ability to effectively manage multiple tasks simultaneously will allow me to contribute significantly to the success of your organization’s data processing activities.

Thank you for your time and consideration; please do not hesitate get in touch if you have any questions or would like additional information about my qualifications for this position (555) 555-5555 or [email address].

Sincerely,

Newton