Senior Data Analyst (On-Site)

Who is Cover Whale?

Cover Whale improves road safety by combining the insurance products we sell with our data-driven driver coaching and safety program. Our safety program is proven to save lives while delivering better insurance for our drivers.

We provide easy insurance options for our drivers at industry-leading insurance loss ratios for the insurance companies that support Cover Whale. The Commercial Auto and Trucking segment of the insurance industry badly needs our help and so do the hard-working drivers who have been struggling with ever-increasing insurance costs year after year. Join us in the mission!

Founded in 2019, Cover Whale recently closed a $15.5M seed funding round (the largest InsurTech seed round raised in North America) and is scaling rapidly. For more information, please visit www.coverwhale.com.

Cover Whale is ranked 374th in Forbes America's Best Startup Employers 2023 (forbes.com).

What We're Looking For:

Cover Whale is searching for a Senior Data Analyst to join our rapidly growing Data team. This position will provide an excellent opportunity to impact multiple business areas. At Cover Whale, we rely on data to drive our systems and solutions. We are seeking an experienced data analyst to continue to help us revolutionize the InsurTech space.

Please note: This is an on-site role with the requirement to be in the office at least 4 times per week.

What You'll Do:

• The primary focus will be on building reports and dashboards for different areas of the business using tables, graphs, infographics and other methods to visualize data that tells a story.
• Collaborate with team members to collect and analyze data
• Establish KPIs to measure the effectiveness of business decisions
• Create presentations and reports based on recommendations and findings
• Work with executives and other business leaders to identify opportunities for improvement
• Foster a continuous learning environment through continuously improving processes, procedures, and approaches.
• Work with cross-functional Data teams to develop, manage, and implement products and technology roadmaps in alignment with long-term strategies.
• Provide technical expertise, thought leadership, and architectural guidance to our Data and Engineering teams.
• Collaborate with Product Management, internal stakeholders, and external vendors to continually improve deployment and operations.

Compensation:

The Expected base pay for the role will be between $143,000-$154,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include discretionary bonus and other Cover Whale-sponsored total rewards/benefits.

Requirements

• 5 (five) or more years of experience writing SQL and Python to query and analyze data.
• Master's degree in Mathematics, ML, Statistics, Computer Science, Software/Data Engineering, or a related field
• Experience with one or more BI Platforms such as Metabase, Tableau, PowerBI, or Looker
• Familiarity with the AWS ecosystem
• Proficient with ETL pipelines for analytics and internal operations
• Experience with internal APIs and integrating with external APIs
• Effective communication skills, especially for explaining technical concepts to nontechnical business leaders.
• Desire to work on a dynamic, research-oriented team.
• Excellent writing and communication skills
• Troubleshooting and debugging ability
• Located in the NYC area

Nice to have:

• Experience managing small teams
• Experience with Jupyter Notebooks
• Experience with Machine Learning concepts, python libraries and algorithms.
• Experience in Fintech or Insurtech fields

Benefits

Perks/Benefits:

• Health/Dental/Vision
• Life/Disability
• Employee Assistance Program
• Flexible Vacation Policy
• 401k - Employer Match
• Generous Parental Leave

Cover Whale works to maintain the best possible environment for our employees, where individuals can learn and grow with the company. We strive to provide a collaborative environment where each person feels encouraged to contribute to their processes, decisions, planning, and culture.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.