Data Scientist/Analytics EngineerAirswift • Tucson, Arizona, United States
Data Scientist / Analytics Engineer
Airswift • Tucson, Arizona, United States
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job_description.job_card.job_descriptionBachelor's degree in Computer Science, Statistics, Mathematics, or related field. Proficiency in Python, R programming, and SQL scripting. Experience with data visualization tools such as Tableau, Power BI, or similar. Familiarity with Snowflake or other data warehousing platforms is a plus. Solid understanding of statistical and machine learning techniques. Proficient in data modeling for analytics applications. Strong problem-solving, critical thinking, and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and handle multiple projects simultaneously.
Job Title : Data Analyst
Location : Tucson, AZ
Contract : 12-month W2 contact (not available on C2C)
Position Overview : We are seeking a talented and motivated Data Analyst to join our team in Tucson, AZ. The ideal candidate will have experience with Python, R programming, SQL scripting, and data visualization tools such as Tableau or Power BI. Additionally, familiarity with Snowflake or similar data warehousing platforms is highly desirable.
Key Responsibilities :
- Utilize Python or R programming languages to extract, clean, and analyze data from various sources.
- Write SQL scripts to query databases and manipulate data for analysis.
- Perform ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting.
- Design and implement data models for analytics applications.
- Create interactive and insightful visualizations using Tableau, Power BI, or similar tools.
- Apply statistical and machine learning techniques, including regression, clustering, decision trees, and neural networks.
- Work with geospatial data and analytics, including GIS tools and techniques.
- Collaborate with cross-functional teams to understand data requirements and provide actionable insights.
- Conduct quality assessments on water quality data or other relevant datasets.
Qualifications :
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