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Assistant Direct Mail Data Processing Jobs in Alabama

Data Engineer

Huntsville, AL · On-site

$53K - $88K/yr

Support cloud-based data environments and services in AWS and Azure. * Assist with the implementation of CI/CD processes and software development best practices using Git and related tools. * Monitor ...

Data Engineer

Huntsville, AL · On-site

$60K - $90K/yr

Direct experience with Army or other DoD financial/data systems and processes. * Prior experience supporting federal audit readiness or CFO functions within the DoD or similar federal agencies.

Data Engineer

Huntsville, AL · On-site

$109K - $131K/yr

Direct experience with Army or other DoD financial/data systems and processes. * Prior experience supporting federal audit readiness or CFO functions within the DoD or similar federal agencies.

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

Direct experience with Army or other DoD financial/data systems and processes. * Prior experience supporting federal audit readiness or CFO functions within the DoD or similar federal agencies.

Data Engineer

Huntsville, AL · On-site

$106K - $128K/yr

Direct experience with Army or other DoD financial/data systems and processes. * Prior experience supporting federal audit readiness or CFO functions within the DoD or similar federal agencies.

Senior Data Analyst

Huntsville, AL · On-site

$82K - $103K/yr

Analyze supply chain cycle times, data processing bottlenecks, error rates, and system compliance ... Direct experience analyzing Army aviation, missile, or defense supply chain data structures.

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

Analyze supply chain cycle times, data processing bottlenecks, error rates, and system compliance ... Direct experience analyzing Army aviation, missile, or defense supply chain data structures.

Utilize information from direct mail campaigns, advertisements, community events, trade shows ... Ability to define customer problems, collect data, establish facts, and draw valid conclusions

Utilize information from direct mail campaigns, advertisements, community events, trade shows ... Ability to define customer problems, collect data, establish facts, and draw valid conclusions

Account Executive

Huntsville, AL · On-site

$75K - $80K/yr

... direct mail in-office demonstrations and public relations for assigned branch. * Direct and manage ... Implement corporate collection policies and procedures. * Assist management in the annual ...

Data Engineer

Birmingham, AL · On-site

$107K - $128K/yr

Communicate regularly with Engagement Managers (Directors), project team members, and ... processes including implementing leading practice workflows, addressing deficits in quality, and ...

Showing results 41-60

Assistant Direct Mail Data Processing information

What does an assistant direct mail data processing do?

An Assistant Direct Mail Data Processing professional supports the management and organization of data used in direct mail marketing campaigns. Their responsibilities include cleaning, formatting, and segmenting databases to ensure accurate targeting and delivery of mail pieces. They may also assist in tracking campaign results and maintaining compliance with data privacy regulations. This role requires strong attention to detail and proficiency with data management software.

What are the key skills and qualifications needed to thrive as an assistant direct mail data processing?

To excel as an Assistant Direct Mail Data Processing Specialist, you need strong analytical abilities, attention to detail, and experience with data management, often supported by a degree in information systems or a related field. Familiarity with data processing software such as SQL, Microsoft Excel, and direct mail platforms is typically required. Effective communication, time management, and problem-solving skills set top performers apart in this role. These abilities ensure accurate data handling, efficient campaign execution, and high-quality service delivery for direct mail marketing operations.

What are some common challenges faced by an assistant direct mail data processing, and how can they be addressed?

One common challenge in Assistant Direct Mail Data Processing is ensuring the accuracy and cleanliness of large data sets, as errors can impact mail delivery and campaign results. Managing tight deadlines while coordinating with mailing vendors and internal marketing teams can also be demanding. To address these challenges, attention to detail, strong organizational skills, and effective communication are essential. Familiarity with data processing software and continuous learning about postal regulations will also help you excel in this role.

What is the difference between Assistant Direct Mail Data Processing vs Data Entry Clerk?

AspectAssistant Direct Mail Data ProcessingData Entry Clerk
CredentialsBasic computer skills, familiarity with mailing softwareHigh school diploma or equivalent, basic computer skills
Work EnvironmentOffice setting, working with mailing lists and databasesOffice environment, inputting data into systems
Industry UsageUsed in direct mail marketing, fundraising, and mailing campaignsUsed across various industries for data input tasks
Job FocusProcessing mailing data, ensuring accuracy for campaignsEntering and updating data records

Assistant Direct Mail Data Processing involves handling mailing lists and ensuring data accuracy for direct mail campaigns, often requiring familiarity with mailing software. Data Entry Clerks focus on inputting and updating data across industries, with less emphasis on mailing-specific tasks. While both roles require basic computer skills, Assistant Direct Mail Data Processing is more specialized for mailing operations.

What are the most commonly searched types of Direct Mail Data Processing jobs in Alabama?

The most popular types of Direct Mail Data Processing jobs in Alabama are:

Infographic showing various Assistant Direct Mail Data Processing job openings in Alabama as of September 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution.

Data Scientist (Statistician) - Direct Hire

Birmingham, AL • On-site

US Department of the Treasury
Public Administration • 10K+ employees

$125K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Identify and assess the validity and reliability of relevant data sources and retrieve structured and unstructured data for data science projects.

  • Clean, transform, combine, and integrate data from multiple sources to prepare data for analysis.

  • Apply data-mining process models and statistical methods to analyze data, evaluate results, and support program or business decisions.


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


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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