Who is Credible?
We are a marketplace where users can compare personalized, prequalified rates and quotes from multiple lenders and carriers, for student loans, mortgages, personal loans, and insurance.
We’re challenging the status quo by giving power to the consumer. We believe in a world where ‘ethical’, ‘lending’, and ‘insurance’ can coexist, so we set out to build innovative platforms that actually work for customers. Our mission is to help people find the best loan or insurance policy possible.
We believe researching and buying loans or insurance shouldn’t be confusing or complex, so we’ve focused on simplicity.
About the Role:
Credible is looking for a data-driven, results-oriented Data Analyst to join the Business Intelligence and Analytics team. This role, which is aligned to the Insurance team, will be integral in providing insights that inform company decisions across several business functions including user acquisition, brand marketing, product development, finance, and operations. This is a great opportunity for you to join a growth stage company and contribute to the success of our products and the continual improvement of our user and customer experiences.
Responsibilities:
- Partner with business functions within the Insurance team to understand their analytics needs and produce dashboards and analytics solutions that allow them to execute more effectively
- Work with business leaders to define key metrics and build reporting to monitor performance along those metrics
- Identify data gaps and work with Engineering to fill those gaps
- Work with stakeholders to develop requirements for data models in our data warehouse that enable performant, intuitive analyses
- Conduct in-depth investigative data analyses that lead to actionable insights, owning the entire process from ideation to execution to presentation of findings to stakeholders
- Help structure A/B tests, establish goals and define instrumentation and logging requirements for tests and features
- Collaborate effectively with Web, QA, and Data Engineers to productionalize data
Education and Experience:
- BA/BS in a quantitative field
- 3+ years of work experience as a data analyst, data engineer, or in a highly analytical role
- Advanced SQL knowledge and experience working with messy data required
- Working knowledge of dbt
- Experience leveraging visualization/reporting tools (Looker, Tableau, etc.)
- Experience with A/B and multivariate testing
- Strong grasp of statistics and experience conducting rigorous data analyses
- Experience with a scripting language (preferably Python) for data processing and analysis a plus
- Prior experience in the insurance industry or at a startup preferred
Must have:
- An investigative spirit and a drive for clear proactive communication with stakeholders and partners
- The capacity to juggle multiple priorities effectively within a fast-paced environment is critical
- You’re a highly motivated self-starter with the ability to work efficiently with minimal supervision
- Anticipate business needs and think with a business owner mindset – think critically about analyses, don’t just complete them
- Passion for spreading the value of data and communicating insights to a broad audience with varying levels of technical expertise
- Strategic thinker who champions data-driven decision-making and builds strong data practices across teams
Pursuant to state and local pay disclosure requirements, the pay ranges for this role, with final offer amount dependent on education, skills, experience, and location, are listed below. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.
View more details about Credible Benefits
We combine the intelligence, expertise, and confidence of a financial advisor with the approachability and honesty of a friend. In other words, we’re the friend you always wish you had in finance.
We are optimistic, challengers, trustworthy, clever, and smart. We are open and transparent. We strive to act as advisors by being friendly, objective, and open in our communication. We use language that is intelligent yet approachable. When appropriate, we’ll drop in a bit of wit to position ourselves as a fresh, reliable voice in the financial world.
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