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Assistant Direct Mail Data Processing Jobs in Arkansas

Pwc

Data Engineer - Senior Manager

Fayetteville, AR · On-site

$124K - $280K/yr

... data processing and analysis. You will be responsible for developing and implementing data ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Pwc

Data Engineer - Senior Manager

Little Rock, AR · On-site

$124K - $280K/yr

... data processing and analysis. You will be responsible for developing and implementing data ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Pwc

AI & GenAI Data Scientist - Manager

Little Rock, AR · On-site

$99K - $232K/yr

... Data Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Pwc

AI & GenAI Data Scientist - Manager

Fayetteville, AR · On-site

$99K - $232K/yr

... Data Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

The Springs

Assistant Director of Nursing

Jonesboro, AR · On-site

$57K - $75K/yr

ASSISTANT DIRECTOR OF NURSING, RN GREAT BENEFITS: MEDICAL, DENTAL, VISION, 401K, DAILY PAY, LIFE ... Managing patients' data and medical records as confidential records * Communicating with doctors ...

Murphy USA

Accounting Asst A

El Dorado, AR · On-site

$17.25 - $22.75/hr

Perform account reconciliations, maintain general ledger records, and assist with financial ... g. data processing, clerical/administrative, equipment operation, etc, plus 4 years related ...

Murphy Oil USA

Accounting Asst A

El Dorado, AR · On-site

$17.25 - $22.75/hr

Perform account reconciliations, maintain general ledger records, and assist with financial ... g. data processing, clerical/administrative, equipment operation, etc, plus 4 years related ...

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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 cities in Arkansas are hiring for Assistant Direct Mail Data Processing jobs?

Cities in Arkansas with the most Assistant Direct Mail Data Processing job openings:

Assistant Direct Mail Data Processing jobs near you

Team Lead/Director of Data Analytics

Little Rock, AR • On-site

YourCode
See more jobs at YourCodeexternal

Full-time

Re-posted 21 days ago

Job description

 Team Lead/Director of Data Analytics
Location: Arkansas
Job Type: Full-Time
Reporting to: CTO
Industry: Financial Technology (Fintech) - Managed Services
Role Overview
We are seeking a strategic and experienced Team Lead/Director of Data Analytics to lead the design and execution of enterprise-wide analytics initiatives for our client. Leading the analytics team, this role sits at the intersection of technology leadership, client advisory, and data strategy, and is pivotal to the continued innovation and growth of their services.
As the Team Lead/Director of Data Analytics, you will oversee all aspects of delivery and architecture of the modern data platform. You will collaborate with clients, executive stakeholders, and technology teams to champion the adoption of analytics solutions that generate meaningful insights, enhance operational effectiveness, ensure adherence to regulatory standards, and foster innovation that benefits both customers and internal teams.
About the organization
Our client is a well-established software house specializing in managed services for the financial technology (fintech) sector. Their solutions support a growing portfolio of banks, credit unions, and fintech innovators by enabling secure, scalable, and intelligent financial operations.
As a primarily Microsoft-based environment, they leverage Azure and other Microsoft technologies to deliver robust, compliant, and future-ready data and analytics solutions. The company was founded by a team of seasoned entrepreneurs who have managed to successfully take the organization from inception to a public listing on the stock exchange - bringing a wealth of experience, vision, and executional excellence to this venture.
They are a growth-driven, mission-aligned organization focused on building resilient, client-centered data platforms that power decision-making and innovation across the financial services ecosystem.
Key Responsibilities
Strategic Leadership
  • Develop and lead the overall vision for enterprise analytics, aligning initiatives with organizational objectives, compliance standards, and customer expectations;
  • Convert strategic business priorities into actionable plans across data engineering, reporting & business intelligence, AI/ML, and advanced analytics functions;
  • Serve as a champion for analytics-driven decision making, building executive support and securing necessary investments;
  • Participate in cross-functional leadership groups to influence enterprise-wide technology strategies and business roadmaps from a data and analytics perspective;

Team & Organizational Leadership
  • Direct and nurture a high-performing analytics organization, including Data Engineering, BI, Data Science enablement, and Governance functions;
  • Cultivate a high-accountability environment that emphasizes technical excellence, innovation, and continuous professional development;
  • Oversee talent acquisition, retention strategies, and performance management across the analytics team;
  • Manage and optimize the analytics operating budget, including headcount, platforms, and cloud infrastructure, ensuring resource allocation aligns with strategic outcomes;
  • Collaborate closely with Finance to maintain budget discipline, manage vendor relationships, and transparently report value delivered relative to investment;
  • Monitor and forecast usage-based cloud expenses (e.g., Azure Databricks, Data Factory, storage, licensing), proactively adjusting to balance performance and cost-effectiveness;
Data Architecture & Platform Stewardship
  • Lead the architecture and continuous enhancement of a cloud-native data platform, leveraging tools such as Azure Data Factory, Databricks (Python, SQL), dbt, and Power BI;
  • Promote and operationalize medallion architecture principles (bronze/silver/gold layers) for scalable and efficient data processing;
  • Define and implement data modeling standards (e.g. dimensional modeling for analytics, transactional schema for OLTP), ensuring cross-platform integration;
  • Drive infrastructure automation and repeatability via Infrastructure-as-Code practices using tools like Terraform;
  • Integrate advanced data governance tools (e.g. Unity Catalog, Microsoft Purview) to manage data lineage, security, and role-based access;
Execution & Delivery Excellence
  • Lead prioritization and execution of analytics initiatives, ensuring alignment with business goals and timely delivery;
  • Embed Agile frameworks to improve team velocity, stakeholder feedback loops, and the delivery of tangible outcomes each sprint;
  • Uphold engineering excellence by institutionalizing standards around source control (Git/GitHub), CI/CD, peer reviews, and automated testing;
  • Oversee development and release of analytics solutions for internal and external users, ensuring accuracy, usability, and timely delivery;
Data Security & Regulatory Compliance
  • Ensure all analytics solutions comply with applicable regulations in financial services, including privacy, reporting, and risk management standards;
  • Implement strict controls to protect Sensitive Personally Identifiable Information (SPII) and ensure adherence to frameworks such as PCI DSS and SOC;
  • Establish governance policies and stewardship practices across structured and unstructured data assets;
  • Serve as the executive accountable for ensuring data privacy and security within the analytics domain, including incident response;

Role Requirements
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Information Systems, or related field/ equivalent experience;
  • 8+ years of experience in data engineering, data analytics, or data platform, with at least 3 years in a leadership role (Director-level)/5+yrs progressive experience (Team Lead level);
  • Extensive hands-on experience with Azure Databricks (including Python, SQL, Delta Lake, real-time streaming, and Delta Live Tables) and Azure Data Factory for orchestrating complex data pipelines;
  • Skilled in using dbt (SQL and Jinja templating) for data transformation workflows and Power BI for designing intuitive dashboards and visual analytics;
  • Strong expertise in data modeling methodologies, including:
    • Dimensional modeling (e.g., Kimball methodology) for analytical/OLAP environments;
    • Relational modeling for transactional systems (e.g., SQL Server, DB2)
  • Proficient in source control and DevOps practices, including Git/GitHub workflows, continuous integration and delivery (CI/CD), and Infrastructure as Code using Terraform;
  • Deep understanding of data governance, privacy, and compliance, particularly in regulated sectors. Experienced in handling SPII and ensuring conformance with PCI DSS, SOC, and GDPR standards;
  • Comfortable communicating with executive stakeholders; capable of articulating the business value of technical and analytical solutions;
  • Demonstrated success in leading platform modernization initiatives and scaling analytics capabilities across large, complex organizations;
  • Advanced skills in Power BI, including report design, performance tuning, and dashboard development;
  • Extensive experience with Microsoft SQL Server and SQL Server Integration Services (SSIS) for data integration and transformation;
  • Adept at translating business needs into functional specifications and designing data solutions that align with stakeholder expectations;
  • Self-motivated, adaptable, collaborative, and highly proactive; thrives in dynamic, team-oriented environments;
  • In-depth knowledge of data architecture patterns, including data marts, centralized warehouses, multidimensional data models, data lake storage, and large-scale data migration strategies;
  • Familiarity with mainframe systems and DB2 considered a plus;
  • Exposure to Linux/Unix environments is beneficial;
  • Technically versatile, with strong problem-solving skills and a mature approach to decision-making;
  • Well-versed in methodologies such as ITIL, Agile, SDLC, and DevOps, with a mindset focused on automation and continuous delivery;
  • Willing to participate in on-call rotations as needed for operational support;
  • Ability to apply DevOps principles and DataOps practices to streamline data warehouse development and deployment;
  • Ability to prepare and optimize the analytics platform to support machine learning, AI-driven insights, and real-time data processing;
  • Ability to lead efforts to ensure the organization is equipped for secure data collaboration, including external integrations and data sharing frameworks;
  • Ability to maintain a forward-looking perspective, staying updated on emerging trends such as open table formats, real-time analytics, AI copilots, and regulatory technology, and translating these developments into practical strategies;
  • Ability to position analytics as a core enabler of customer satisfaction, operational efficiency, and compliance leadership;

Why Join Us?
  • Work under proven founders with a track record of scaling successful startups to IPO;
  • Help shape the data strategy of high-growth fintech firms;
  • Be part of a company that's making real-world impact in regulated, high-stakes environments;
  • Enjoy a competitive compensation package, growth opportunities, and a modern tech stack;

Next Steps
We understand that top talent moves fast - and so do we. The hiring process is designed to be pragmatic and efficient, with minimal unnecessary steps. If you're interested in the role, we encourage you to apply directly or reach out to YourCode to schedule a quick introductory call. From there, we'll move swiftly to determine alignment and next steps.

Apply