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Remote Flight Data Analyst Jobs in Iowa (NOW HIRING)

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Own analysis quality: data validation, experiment/study design, sensitivity checks, and ...

Salary range: $100,003-120,000 plus 10% bonus Remote hires will be required to travel to our ... Own analysis quality: data validation, experiment/study design, sensitivity checks, and ...

We are looking for a Physics Data Analyst to join our team and train AI models. You will measure ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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Remote Flight Data Analyst information

What are the key skills and qualifications needed to thrive as a Remote Flight Data Analyst, and why are they important?

To thrive as a Remote Flight Data Analyst, you need strong analytical skills, a solid understanding of aeronautical engineering or aviation science, and typically a relevant degree or certification. Proficiency with flight data monitoring (FDM) software, data visualization tools, and experience with industry standards like FOQA are essential. Attention to detail, problem-solving, and effective communication skills set top analysts apart in collaborating with pilots and safety teams. These skills ensure accurate interpretation of flight data, support safety improvements, and facilitate compliance with aviation regulations.

How does a Remote Flight Data Analyst collaborate with pilots and maintenance teams to ensure flight safety?

Remote Flight Data Analysts play a crucial role in promoting flight safety by analyzing data collected from aircraft and identifying potential safety issues or trends. They regularly communicate their findings to pilots and maintenance teams, often through detailed reports or virtual meetings. This collaboration helps ensure that any anomalies or maintenance needs are addressed promptly, minimizing risks and improving operational efficiency. Frequent coordination with these teams also fosters a proactive safety culture and helps analysts stay informed about operational changes that may impact data interpretation.

What is a Remote Flight Data Analyst?

A Remote Flight Data Analyst is a professional who analyzes flight data from aircraft to ensure safety, optimize performance, and support regulatory compliance, all while working remotely. They use specialized software to review data collected from flight data recorders and other avionics systems, looking for trends, anomalies, or potential safety issues. Their work helps airlines and aviation organizations improve operational efficiency, maintain safety standards, and meet industry regulations. Remote Flight Data Analysts collaborate with pilots, engineers, and safety teams, providing insights and recommendations based on their analysis.
What are popular job titles related to Remote Flight Data Analyst jobs in Iowa? For Remote Flight Data Analyst jobs in Iowa, the most frequently searched job titles are:
What cities in Iowa are hiring for Remote Flight Data Analyst jobs? Cities in Iowa with the most Remote Flight Data Analyst job openings:
Principal Data Analyst

Principal Data Analyst

Mom's Meals

Ankeny, IA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Mom's Meals rating

6.5

Company rating: 6.5 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

10th of 22 rated food delivery companies


Job description

The Principal Data Analyst is a senior, hands-on analytics leader who turns complex, cross-functional data into clear, actionable insights that drive business outcomes as a consultative partner. This role sets the bar for analytical rigor, designs enterprise-grade BI assets, mentors analysts, and partners with business, engineering, and governance to improve decision quality and operational performance. Work emphasizes advanced analytics using Databricks, SQL, R, Power BI, Python, and the Azure data stack.
Salary range: $100,003-120,000 plus 10% bonus
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Lead high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives
  • Partner with business leaders to identify analytics opportunities and deliver actionable insights. Present findings and recommendations to partners and executive leadership in clear, compelling formats
  • Develop analytics products and solutions using Databricks, modern Business and Artificial Intelligence tools and Agile principles
  • Implement advanced analytics where applicable, leveraging Python for advanced analytics, automation, and integration with Databricks workflows
  • Architect and publish trusted Power BI datasets and dashboards (DAX, Power Query, semantic models), establishing standards for usability and adoption
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses
  • Develop Python scripts for automation, data wrangling, and integration with Databricks and Azure services
  • Partner with Data Engineering on Azure data stack components (Data Factory, ADLS, Synapse/Fabric pipelines) for scalable data solutions
  • Own analysis quality: data validation, experiment/study design, sensitivity checks, and reproducibility (versioning, documentation)
  • Define and monitor KPIs; create executive scorecards and operational reporting that tie directly to business objectives
  • Coach/mentor analysts and BI developers; uplift storytelling, statistical thinking, and visualization craftsmanship across the team
  • Collaborate with Data Governance and Compliance to ensure appropriate use of PHI and adherence to privacy/security controls
  • Facilitate data stewardship and literacy across the business
  • Drive adoption of data products to scale data value
  • Stay current with emerging technologies and recommend enhancements to the analytics stack

Required Skills and Experience
  • Bachelor's degree in Data Science, Computer Science, Statistics, Economics or related field
  • 8-10+ years in analytics roles, including 3+ years leading projects
  • Proven impact delivering analytics in complex environments (multi-source data, ambiguous scope) with measurable business outcomes
  • Experience operating in healthcare data environments (or demonstrated ability to quickly adapt to such contexts)
  • Demonstrated ability to mentor junior analytics professionals
  • Statistical and financial analytics expertise with deep understanding of appropriate study design and analysis techniques and business case development
  • Azure Data Stack: Data Factory, ADLS, Synapse/Fabric pipelines; familiarity with security and governance features
  • Databricks: Spark/SQL, notebooks & jobs, performance tuning, SQL Warehouses
  • SQL: Strong proficiency (ANSI/T-SQL); query optimization over large, partitioned tables
  • R: Applied analytics using tidyverse/ggplot2; reproducible workflows; statistical testing and modeling fundamentals
  • Python: Data wrangling, automation, integration with Databricks and Azure services
  • Fabric and Power BI: Data modeling, DAX, Power Query (M), calculation groups, row-level security, deployment pipelines
  • Versioning & Reproducibility: Git-based workflows; disciplined documentation and peer review
  • Executive storytelling: distill and translate complex analyses into clear narratives and recommended actions or analytics solutions
  • Stakeholder partnership: influence cross-functional partners; set expectations and drive alignment
  • Demonstrated ability to deliver projects with undefined, large and/or complex scope
  • Agile delivery
  • Mentorship: develop analysts' craft (methodology, viz/design, communication)
  • Product mindset: define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions
  • Ownership & judgment: operate independently, make sound trade-offs, and uphold high quality standards

Preferred Skills and Experience
  • Master's degree in Economics, Statistics, Data Science, Computer Science or related field
  • Certifications in Databricks, Power BI, or cloud platforms (Azure preferred)
  • Experience with machine learning frameworks and MLOps practices
  • Familiarity with data governance tools and compliance standards
  • Knowledge of advanced BI features (Power BI Copilot, AI-driven analytics)
  • Familiarity with healthcare risk adjustment models such as HCC and CDPS
  • Familiarity with claims groupers such as Milliman's HCG
  • Product management training or analytics product delivery experience

Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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