Our client is an international pioneer in the aerospace industry. They are a leader in designing, manufacturing and delivering aerospace products, services and solutions to customers on a global scale. They aim for a better-connected, safer and more prosperous world. This location is a global leading provider of aftermarket services and solutions for the civil aerospace industry. Currently they are looking to add a HR Data Analyst to their team.
Your Challenges:
Primary Responsibilities:
- Assist in collecting, cleaning, and transforming data from various data sources.
- Perform large-scale data analysis using mathematical and statistical methods and tools to extract business insights.
- Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
- Suggest improvements in the modeling techniques to and convince the team on new initiatives.
- Support in building data visualizations/dashboards to present data insights and recommendations.
- Utilize data analytics tools (e.g. Python, Alteryx, Tableau, Skywise,) for data manipulation, basic analysis, and reporting tasks.
- Write and execute data queries using SQL, Python, or other data analysis programming languages.
- Document data processes, findings, and solutions.
- Communicate data analysis results and recommendations to stakeholders.
- Collaborate with other data analysts and team members on data projects.
- Learn and apply new data technologies and best practices.
- Ability to work with semi-structured and unstructured data.
- Assembling large, complex sets of data that meet non-functional and functional business requirements.
- Develop, test, and deploy machine learning models.
- Performs business data analysis, identifying key facts and recommendations in accordance with business standards.
Qualified Experience / Skills / Training:
Education:
- Bachelor's degree in Business Information Technology, Management Information Systems, Computer Science, Information Technology, Economics, Mathematics, Data Science/Analytics, Applied Sciences, Engineering, or other quant-focused field or equivalent combination of industry related professional experience and education.
Your Boarding Pass:
Experience:
- 3 years of working experience with 2 +years in SQL and Python.
- Practical experience in a business environment applying analytical skills and tools (Tableau, SQL) to solve real-world problems.
Knowledge, Skills, Demonstrated Capabilities:
- Deep curiosity to learn about new applications and projects, self-driven, and analytical.
- Familiarity with structured, semi-structured and unstructured data sets (XML, JSON, etc.).
- Some experience or project coursework working with databases, data models, and data warehouse concepts.
- Attention to details with strong communication, presentation, and time management skills.
- Some experience applying basic ML to a type of data and or used algorithms to conduct experiments on data.
- Some experience and or project course work performing data analysis and applying statistics working with tools such as: Python, MATLAB, R, Tableau, Alteryx, Excel, or SAS.
Certifications:
- Certification in Data Engineering such as Google Cloud Certified Professional Data Engineer certification is a plus.
Full-time contract employees are eligible for the following benefits:
- Dental
- Vision
- Health
- 401K
- Holiday Pay
- Weekly Pay
We thank all candidates for their application, however only those that qualify will be contacted.
Pay: $35.00 - $40.00 per hour
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid holidays
- Vision insurance
Education:
Experience:
- SQL: 2 years (Preferred)
- Python: 2 years (Preferred)
- Tableau: 2 years (Preferred)
- data analysis: 2 years (Preferred)
Work Location: In person
