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Direct Mail Data Processing Jobs in Chambersburg, PA

Business Sales Exec

Hagerstown, MD · On-site

$50K - $65K/yr

... direct mail, digital media, etc.) to promote the company and create revenue opportunities ... telephony, data and video systems preferred. * Experience in consultative selling process ...

Business Sales Exec

Hagerstown, MD · Hybrid

$50K - $65K/yr

... direct mail, digital media, etc.) to promote the company and create revenue opportunities ... telephony, data and video systems preferred. * Experience in consultative selling process ...

Business Sales Exec

Hagerstown, MD · Hybrid

$50K - $65K/yr

... direct mail, digital media, etc.) to promote the company and create revenue opportunities ... telephony, data and video systems preferred. * Experience in consultative selling process ...

Business Sales Exec

Hagerstown, MD · On-site

$50K - $65K/yr

... direct mail, digital media, etc.) to promote the company and create revenue opportunities ... telephony, data and video systems preferred. * Experience in consultative selling process ...

... demonstrations, direct mail campaigns, and follow up activity * Conduct prospect, active and ... Ability to analyze and evaluate people, data and things to determine courses of action * Previous ...

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Direct Mail Data Processing information

See Chambersburg, PA salary details

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How much do direct mail data processing jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for direct mail data processing in Chambersburg, PA is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $18.17 per hour, depending on experience, location, and employer.

What is a direct mail data processing?

A Direct Mail Data Processing job involves managing, organizing, and preparing data for direct mail campaigns. This includes tasks such as cleaning and formatting mailing lists, ensuring data accuracy, deduplicating records, and applying postal regulations to optimize mailing costs. Professionals in this role work with data processing software to generate mailing lists, address standardization, and postal sorting to ensure efficient and cost-effective mail delivery. The role requires attention to detail, data management skills, and knowledge of postal regulations.

What are typical daily responsibilities for direct mail data processing?

In a Direct Mail Data Processing role, your typical day involves importing and cleaning large datasets, applying address standardization and deduplication processes, and preparing files for print or mailing according to postal regulations. You may also collaborate with marketing teams to ensure targeted audience segmentation and validate that mailing lists are accurate and up to date. Additionally, you’ll often troubleshoot data issues, generate required reports, and work with production teams to coordinate mail runs. This position requires strong focus and efficiency, as your work directly impacts campaign accuracy, delivery timelines, and cost-effectiveness.

What are the key skills and qualifications needed to thrive in direct mail data processing, and why are they important?

To thrive as a Direct Mail Data Processing professional, you should possess strong analytical skills, attention to detail, and proficiency in data management, often supported by experience with mailing software and database systems. Familiarity with tools like PostalSoft, BCC Mail Manager, or similar postal and data sorting software, as well as a basic understanding of USPS regulations, is highly valuable. Excellent organizational skills, adaptability, and the ability to communicate clearly with team members and clients help set top performers apart. These skills and qualities are crucial to ensure accurate data handling, efficient mail processing, and the successful execution of large-scale direct mail campaigns.

What are the most commonly searched types of Direct Mail Data Processing jobs in Chambersburg, PA?

The most popular types of Direct Mail Data Processing jobs in Chambersburg, PA are:

What job categories do people searching Direct Mail Data Processing jobs in Chambersburg, PA look for?

The top searched job categories for Direct Mail Data Processing jobs in Chambersburg, PA are:

What cities near Chambersburg, PA are hiring for Direct Mail Data Processing jobs?

Cities near Chambersburg, PA with the most Direct Mail Data Processing job openings:

Infographic showing various Direct Mail Data Processing job openings in Chambersburg, PA as of August 2026, with employment types broken down into 84% Full Time, 10% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 93% In-person, 2% Hybrid, and 5% Remote job distribution, with an average salary of $35,530 per year, or $17.1 per hour.

Data Scientist (Statistician) - Direct Hire

US Department of the Treasury

Hagerstown, MD

$125K/yr

Full-time

Posted 4 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

311th of 854 rated public administrative organizations


Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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