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Aviation Data Analyst Jobs in Arizona (NOW HIRING)

Sr Finance Analyst

Phoenix, AZ · On-site

$80K - $99K/yr

Key Responsibilities Data Analytics & Insight Generation * Manage, analyze, and interpret large ... Join a company that's reintroducing itself to the aviation community we've helped advance for more ...

Acron Aviation designs, engineers, and manufactures certified avionics systems that support safety ... Assisting with flight tests and analyzing results. * Interfacing with customers, suppliers, and ...

Acron Aviation designs, engineers, and manufactures certified avionics systems that support safety ... Assisting with flight tests and analyzing results. * Interfacing with customers, suppliers, and ...

Senior Specialist, Systems Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

Acron Aviation designs, engineers, and manufactures certified avionics systems that support safety ... Analyze test results and support system modeling and verification * Support flight test activities ...

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Aviation Data Analyst information

See Arizona salary details

$31.7K

$77K

$126.7K

How much do aviation data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for aviation data analyst in Arizona is $77,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What does an aviation data analyst do?

An Aviation Data Analyst collects, processes, and interprets aviation-related data to support decision-making and improve operational efficiency. They analyze flight data, safety reports, maintenance records, and other aviation metrics to identify trends and optimize performance. Using statistical models and data visualization tools, they help airlines, airports, and regulatory agencies enhance safety, reduce costs, and improve overall efficiency. Strong analytical skills and knowledge of aviation regulations are essential for this role.

What are the main challenges an aviation data analyst typically faces in their day-to-day work?

Aviation Data Analysts often work with large, complex datasets from various sources, which can present challenges in ensuring data accuracy and consistency. They may need to reconcile discrepancies between different systems or formats and address missing or incomplete data. Collaborating closely with multiple departments, such as flight operations, safety, and maintenance teams, can also require strong interpersonal skills to understand diverse data needs. Staying up-to-date with evolving aviation technologies and regulations is another aspect of the role, ensuring that analytical methods remain current and effective.

What are the key skills and qualifications needed to thrive as an aviation data analyst, and why are they important?

To thrive as an Aviation Data Analyst, you need strong analytical abilities, a background in aviation or related fields, and proficiency in data analysis or statistics. Experience with tools like SQL, Python, Excel, and aviation industry databases or certifications such as Certified Analytics Professional (CAP) is highly valued. Attention to detail, problem-solving, and strong communication skills help you effectively interpret data and relay insights to technical and non-technical stakeholders. These skills are crucial for supporting operational decisions, safety improvements, and strategic planning within the aviation industry.

What are the most commonly searched types of Aviation Data Analyst jobs in Arizona?

The most popular types of Aviation Data Analyst jobs in Arizona are:

What cities in Arizona are hiring for Aviation Data Analyst jobs?

Cities in Arizona with the most Aviation Data Analyst job openings:

Infographic showing various Aviation Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $77,011 per year, or $37 per hour.

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 542 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