Data Analyst (On-Site)

Who is Cover Whale?

Cover Whale is an InsurTech company that provides commercial insurance to America's independent truck drivers and small trucking fleets. We employ data to make our roads safer and we’re looking for exceptional humans to help us make our vision a reality. Our ambition is to combine our passion for improving safety with leading expertise in data science, along with industry leading practices in AI/ML/FL to not only identify good drivers, but to actually make our drivers and the roads they travel safer. We realize that the commercial trucking industry is the backbone of the American supply chain; here at Cover Whale, our goal is to drive progress in the trucking industry by providing innovative, dynamic insurance solutions that open new horizons of possibilities to drivers, fleet owners, and everyone in between.

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

Who We’re Looking For:

Cover Whale is searching for a Data Analyst to join our rapidly growing Data team and help us revolutionize the InsureTech space.This position will provide an excellent opportunity to impact multiple business areas.

What You’ll Do:

• 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.

Please Note: This job is located in the New York - Downtown Financial District. Our office is open, and the candidate would be expected to be on site 4 days a week, with potential flexibility to work remotely.

Expected base pay for the role will be between $100,000-$150,000 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

Your Qualifications Include:

• Three or more years of experience writing SQL and Python to query and analyze data.
• Experience with one or more BI Platforms such as Metabase, Tableau, PowerBI or Looker
• Familiarity with the AWS ecosystem
• Experience 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

Nice to have:

• Experience with Jupyter Notebooks
• Experience with Machine Learning concepts, python libraries and algorithms.
• Experience in Fintech or Insuretech fields

Benefits

• Medical/Dental/Vision
• Short/Long Term Disability
• Employer Paid Life Insurance and AD&D
• Matching 401k Plan
• Flexible Vacation Policy
• Generous Parental Leave Program
• Employee Assistance Program

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.