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Data Processing Assistant Jobs in Arizona (NOW HIRING)

Zenotis Technologies INC

Data Scientist

Phoenix, AZ · On-site

... and monitoring processes across data pipelines. Generative AI & Agentic AI · Contribute to AI initiatives involving Large Language Models (LLMs) and Agentic AI. * Assist in designing and ...

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Data Processing Assistant information

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$11

$18

$32

How much do data processing assistant jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data processing assistant in Arizona is $18.89, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.82 per hour, depending on experience, location, and employer.

What is the salary of data processing assistant grade a grade?

The salary of a Data Processing Assistant Grade A typically ranges from $30,000 to $45,000 annually, depending on the country, experience, and government or organizational pay scales. Entry-level positions may start at the lower end, with potential for increases based on performance and tenure.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

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

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What are the most commonly searched types of Data Processing jobs in Arizona? The most popular types of Data Processing jobs in Arizona are:
What cities in Arizona are hiring for Data Processing Assistant jobs? Cities in Arizona with the most Data Processing Assistant job openings:
Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,282 per year, or $18.9 per hour.

Lead Data Analyst

Honeywell International, Inc.

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

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

Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 538 rated manufacturers

Job description


As a Lead Data Analyst within the Finance Data Analytics team, you will own the design, build, and operational maturity of finance data products that turn business logic into reliable, enterprise-grade analytics. You will convert business reports into Snowflake production views, deliver dynamic Tableau dashboards, and lead ETL/ELT solutions that unify disparate sources into trusted, auditable information for CFO and program decision-making. You'll pair rigorous data quality with advanced analytics (predictive modeling, anomaly detection) and agentic AI workflows to accelerate insight generation across the finance cadence. You will partner closely with Finance (FP&A, Controllership, Program Finance), Integrated Supply Chain, and Order Management to translate requirements into scalable solutions-grounded in aerospace controls, security, and compliance.
Responsibilities
KEY RESPONSIBILITIES
Data Product Engineering
  • Convert business reports and logic into enterprise-grade reporting views in our cloud database. Building semantic layers and materialized views that are version-controlled, documented, and performance-tuned for finance workloads (variance, trend, forecast).
Business Intelligence & Visualization
  • Build dynamic, actionable dashboards in Tableau-with governed metrics, drill-throughs, scenario views, and executive summaries for Finance leaders. Establish and publish certified data sources; monitor adoption and performance.
ETL
  • Use Python and SQL to combine data from disparate sources (ERP/EPM, project controls, supply chain, CRM, flat files, APIs) into reconciled, trusted datasets that reduce manual effort and increase accuracy. Normalize and harmonize master data (CoA, cost centers, profit centers) for consistency across the finance lifecycle.
Data Quality & Controls
  • Lead data validation, error checking, outlier analysis, reconciliations/tie-outs to source systems, exception dashboards, and QA frameworks that support auditability and repeatability (SOX-ready). Embed role-based access controls, evidence trails, and control monitoring.
Finance Domain Analytics
  • Support program-controls analytics including Earned Value Management (EVM) metrics (CPI/SPI, CV/SV), Estimates at Completion (EAC) trending, and contractual reporting (e.g., IPMDAR). Build dashboards and datasets that surface risk/opportunity and drive corrective actions with Program Finance.
AI/ML & Agentic Automation
  • Use GitHub Copilot with Python to accelerate ETL, statistical modeling, and rapid analysis while maintaining secure coding and review practices; maintain reproducible notebooks and pipelines.
  • Develop predictive models (forecast accuracy, anomaly detection, driver analysis) and agentic AI workflows (orchestrated assistants in Dataiku or equivalent) to automate repetitive analytics and triage root causes-aligned to responsible-AI and governance standards.
Governance, compliance & security
  • Design with SOX controls in mind (data integrity, evidence, continuous controls monitoring) and partner with Controllership/Internal Audit on automation of key reports and control testing.
Agile Delivery & Stakeholder Leadership
  • Run an agile backlog of finance analytics use cases; collaborate across Finance, ISC, OM, and IT.

Qualifications
YOU MUST HAVE
  • 6+ years in data analytics/data engineering with Finance domain exposure (FP&A, Controllership, Program Finance).
  • Advanced SQL; hands-on Snowflake and Tableau experience building production-grade views, models, and dashboards.
  • Strong Python for data processing, automation, and statistical analysis; experience with ETL/ELT and orchestrating pipelines.
  • Proven delivery of data validation, error checking, outlier analysis, and reconciliations that stand up to audit.
  • Ability to translate complex business logic into scalable technical specifications and governed data products; excellent communication with Finance stakeholders.

WE VALUE
  • Experience with Dataiku or Databricks and GitHub Copilot to accelerate secure development.
  • Familiarity with ERP/EPM ecosystems (SAP/Oracle), master-data harmonization, and finance data architecture.
  • Prior work in SOX controls, continuous control monitoring, and audit analytics.
  • Awareness of export controls (ITAR/EAR) and handling of controlled technical data; prior security clearance a plus.
  • Experience optimizing Tableau performance and semantic layers.

US PERSONS REQUIREMENT
Due to U.S. export control laws, candidates must be U.S. citizen, U.S. permanent resident, or have protected status under asylum or refugee.
About us:
Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution.
Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.
Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next.
Every horizon. Every mission. Every day.
Benefits:
Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're eligible for a comprehensive benefits package that includes:
  • Employer-subsidized medical, dental, vision and life insurance
  • Short-term and long-term disability coverage
  • 401(k) match, flexible spending accounts and health savings accounts
  • Employee assistance program and educational assistance
  • Parental leave and 12 paid holidays
  • Paid time off for vacation, personal and sick time

Explore your benefits: https://honeywellaerospacebenefits.com/
POSTING TIMELINE
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906

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