Data Science Analyst
701 B Street, Suite 2100, San Diego, CA, 92101
Full Time Mid-level / Intermediate USD 70K - 95K
Brown & Brown Insurance
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Brown & Brown is seeking a Data Science Analyst for our team in San Diego, CA.
Arrowhead Programs is a division within Brown & Brown Insurance and underwrites 60+ personal, commercial and specialty lines programs. Learn more about how the Data & Analytics team leverages data to positively impact our organization:
Join us as a Data Science Analyst and play a pivotal role in our collaborative efforts with internal business leaders. Your responsibilities will include driving revenue, improving operational efficiencies, and communicating profound insights through rigorous data analysis.
We are looking for individuals who possess a strong passion for navigating complex datasets, coupled with an insatiable curiosity and adept problem-solving skills. Candidates should exhibit a growth mindset, blending analytical acumen with the ability to articulate insights in a clear and relatable manner.
Our growing team of data analysts and scientists are engaged in all parts of the data science product lifecycle: from obtaining raw data, cleaning data and performing an exploratory data analysis, developing and evaluating models, and finally deploying APIs in our production environment. Our team also develops and maintains dashboards to help businesses monitor their operations and
track their KPIs.
- How a custom submission grader helps Lawyer’s Protector Plan increase profitability
- How our Data Science & Analytics team helps companies boost their bottom line’
WHAT YOU’LL DO:
- Independently collaborate with business stakeholders; understand their challenges and structure analytical solutions
- Author and maintain reproducible analytical scripts and programs (R, Python, SQL)
- Create data-driven products (analytics reports, dashboards) to provide impactful business insight
- Work with business and technical stakeholders to obtain access to various data sources (SQL databases)
- Assist in the development and maintenance of production APIs
- Assist in the development and maintenance of internal tools and software packages
WHAT YOU’LL NEED:
- 2-3 years of work experience in data analytics and/or business intelligence
- Demonstrated experience with advanced SQL
- Demonstrated experience with communicating technical information or sharing data insights to non-technical audience
- Demonstrated experience with programming languages (R, Python) and version control (git)
- Strong time management and organizational skills
- Able to prioritize and manage multiple tasks
- Strong interpersonal skills
- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.
Preferred Qualifications:
- 3+ years of analytics experience including business intelligence or data analytics
- Strong programming skills, especially in R and SQL
- Strong demonstrated use of R packages (tidyverse, Shiny, duckdb, quarto)
- Strong verbal and written communication skills, especially the ability to translate technical results for business audiences in a clear and concise manner
- Special attention to detail and accuracy with a specific focus on timeliness and productivity
- Experience in the insurance (property and casualty) industry
What We Offer:
Excellent growth and advancement opportunities
Competitive pay based on experience
Ability to work hybrid
Discretionary Time Off (DTO)
Generous benefits package: health, dental, vision, 401(k), and many additional benefits
Employee Stock Purchase Plan
Salary Range: $70,000 - $95,000 depending on experience
We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.
Tags: APIs Business Intelligence Data analysis Data Analytics EDA Git KPIs Python R SQL
Perks/benefits: Career development Competitive pay Flex vacation Health care
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