Remote Aviation Data Analyst

Placements24

Windsor Park (TN)

Remote

USD 70,000 - 110,000

Full time

41 hours ago
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Benefits offered by this job

Health benefits
Retirement savings
Learning opportunities

Job summary

Placements24 is seeking a Remote Aviation Data Analyst to join a leading aviation analytics firm. You will collect, clean, and analyze large aviation datasets, create dashboards, and deliver insights that guide strategic decisions.

The role requires strong quantitative skills, proficiency in SQL, Python, R, and Excel, plus experience with Tableau/Power BI. This fully remote position supports flexible work locations and emphasizes data-driven forecasting and collaboration.

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Aviation Management, or a related quantitative field.
  • Minimum of 3 years of experience in data analysis, preferably within the aviation sector.
  • Proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), R, and Excel.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of statistical methods and machine learning concepts.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Effective written and verbal communication skills for reporting and collaboration.
  • Proven ability to manage tasks independently and work effectively in a remote environment.
  • Familiarity with aviation data sources and industry terminology is a significant advantage.
  • Must have reliable internet access and a suitable remote work setup.

Responsibilities

  • Collect, clean, and transform large volumes of aviation-related data from various sources.
  • Perform in-depth statistical analysis to identify trends, patterns, and insights related to flight performance, passenger behavior, and market dynamics.
  • Develop and maintain data models, dashboards, and reports to visualize KPIs.
  • Collaborate with internal teams and external stakeholders to understand data needs and deliver actionable insights.
  • Utilize programming languages like Python or R for data manipulation, analysis, and automation.
  • Ensure data accuracy, integrity, and consistency across all datasets.
  • Stay current with advancements in data analytics techniques and aviation industry trends.
  • Contribute to the development of predictive models and forecasting tools.
  • Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
  • Troubleshoot data-related issues and implement solutions proactively.

Skills

SQL
Python
R
Excel
Tableau
Power BI
Statistics
Machine learning basics
Remote work
Aviation domain knowledge

Education

Bachelor's/Master's degree in Data Science/Statistics/Math/CS/Aviation Management

Job description

About the Role

Our client, a leading aviation analytics firm, is seeking a talented Remote Aviation Data Analyst to join their growing team. This is a 100% remote position, offering the flexibility to work from any location while contributing to cutting-edge data-driven insights for the aviation industry. You will be responsible for collecting, cleaning, processing, and analyzing large datasets related to flight operations, passenger trends, and market intelligence. The ideal candidate will possess strong quantitative skills, proficiency in data analysis tools, and a solid understanding of aviation metrics. This role is perfect for an individual passionate about data and its application in transforming the aviation landscape, operating entirely remotely.

Key Responsibilities
  • Collect, clean, and transform large volumes of aviation-related data from various sources.
  • Perform in-depth statistical analysis to identify trends, patterns, and insights related to flight performance, passenger behavior, and market dynamics.
  • Develop and maintain data models, dashboards, and reports to visualize key performance indicators (KPIs).
  • Collaborate with internal teams and external stakeholders to understand data needs and deliver actionable insights.
  • Utilize programming languages like Python or R for data manipulation, analysis, and automation.
  • Ensure data accuracy, integrity, and consistency across all datasets.
  • Stay current with advancements in data analytics techniques and aviation industry trends.
  • Contribute to the development of predictive models and forecasting tools.
  • Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences.
  • Troubleshoot data-related issues and implement solutions proactively.
Requirements
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Aviation Management, or a related quantitative field.
  • Minimum of 3 years of experience in data analysis, preferably within the aviation sector.
  • Proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), R, and Excel.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong understanding of statistical methods and machine learning concepts.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Effective written and verbal communication skills for reporting and collaboration.
  • Proven ability to manage tasks independently and work effectively in a remote environment.
  • Familiarity with aviation data sources and industry terminology is a significant advantage.
  • Must have reliable internet access and a suitable remote work setup.
Benefits
  • This fully remote role offers a competitive salary and the significant benefit of working from anywhere, promoting an excellent work-life balance.
  • Our client provides comprehensive health benefits, retirement savings options, and opportunities for continuous learning and professional growth.
  • You will be part of an innovative and globally connected team, working with state-of-the-art analytical tools to drive advancements in the **aviation industry**.

This is an exceptional opportunity for a data-driven professional to excel in a flexible, remote setting.

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