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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Analyst - **Company:** Honeywell Aerospace - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Business Logic, Cloud Database, Data Architecture, Data Validation, Information Engineering, Data Integrity, Extract Transform Load (ETL), Python (Programming Language), Oracle (Applications), SAP (Applications), Secure Coding, SQL Databases, Tableau (Software), Technical Data Management Systems, Sql Optimization, GitHub Copilot, Snowflake, Data Layers, Data Analytics, Data Management, Dataiku, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.juju.com/job/00000000glldbu ## About the Role + 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. ## 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., 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)