Data Analyst

Highwing is seeking a detail-oriented Data Analyst. As we enhance our open data platform for commercial insurance, you'll tackle key challenges like data normalization, customer onboarding, and processing unstructured data. You will closely collaborate with engineering, product, frontend, and client success teams to craft and refine data-driven solutions that elevate our product offerings.

In this role, you will manage and analyze complex datasets, ensure data governance, and create visualizations that drive actionable insights. You'll use AWS products and modern data practices to deliver impactful solutions and support the ongoing evolution of our platform.

Your Work at Highwing:

• 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.

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

Benefits

About Highwing:

At Highwing, we're revolutionizing commercial insurance with our open data platform. We connect fragmented data points to streamline insurance procurement, making the process more efficient for brokers and carriers.

Our Core Values:

• Winning Together: Collaborate as a team to achieve exceptional results, supporting and respecting each other while maintaining high standards for team dynamics.
• Empowerment: Hire intelligent, driven individuals who thrive with freedom and responsibility, expecting proactive problem-solving and ownership in complex tasks.
• Improvement: Embrace constant change and feedback to evolve our technology and processes, learning from failures and successes to drive continuous improvement.
• Transparency: Provide full visibility into business operations and project statuses to foster better collaboration, autonomy, and alignment with company goals.
• Trustworthiness: Earn and maintain our partners' trust by handling their valuable assets with the highest level of respect, expertise, and integrity in every action.

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.