Highwing is hiring a
Data Analyst

Summary

Join Highwing as a Data Analyst to manage complex datasets, collaborate with cross-functional teams, and implement data solutions using AWS products. Minimum 2 years of experience required.

Requirements

• Minimum of 2 years of experience in data analysis, data science, or business analytics
• Demonstrated expertise in SQL for data querying and manipulation
• Familiarity with data visualization tools such as Quicksight, Tableau, Power BI, or similar platforms
• A strong grasp of statistical analysis techniques and methodologies
• Excellent problem-solving abilities with a knack for conveying complex data insights clearly and succinctly
• Experience in data management, data cleanliness, and ETL/ELT processes
• Strong communication and teamwork skills for collaboration, both in person and virtually, with cross-functional teams
• Flexible and able to thrive in a fast-paced environment characterized by rapid changes and uncertainty
• Bachelor's degree in Mathematics, Statistics, Computer Science, or equivalent experience

Responsibilities

• Data Analysis & Reporting: Dive deep into data to reveal insights and trends. Produce detailed reports and dashboards that inform business decisions and improve user experiences
• Data Visualization: Develop interactive visualizations with AWS QuickSight, Tableau, or Power BI to present data clearly and effectively
• Data Governance: Maintain high standards of data quality and integrity. Create and uphold documentation for data management practices
• Collaboration: Partner with engineering to design and manage data solutions. Work with product, engineering, and client success teams to gather requirements and prioritize features
• Solution Implementation: Support data solutions using SQL, AWS technologies (e.g., Step Functions, S3, Glue), and our tech stack
• Continuous Improvement: Contribute to all stages of product development, embracing new technologies and methods to address evolving analytical/data needs

Preferred Qualifications

Familiarity with programming languages for data analysis, such as Python or R is a plus

Benefits

• Comprehensive Insurance: Full health coverage for you and your family, plus additional benefits (life insurance, disability, etc.)
• Learning & Development: Annual stipend for professional growth, including conferences, courses, and books
• Generous Time Off: Flexible paid time off to ensure work-life balance
• Remote Work: Fully remote with support for your preferred work environment, with occasional travel for team or client meetings, training, and conferences