credible · Remote, United States
Skills: Python, SQL
Who is Credible? Credible is a leading U.S. consumer finance marketplace, transforming the way consumers access and compare financial products. We operate at a consumer and enterprise level. On the consumer side, we help millions of people make smarter financial decisions by comparing personalized, pre-qualified offers across student loans, personal loans, mortgages, credit cards, and insurance — all without impacting their credit score. On the enterprise side, we power financial product comparison and distribution through deep integrations and partnerships with lenders, insurance carriers, and financial institutions, as well as providing marketplace technology and capabilities to third-party partners and distribution channels. About the Role: Credible is looking for a data-driven, results-oriented Data Analyst to join the Business Intelligence and Analytics team. This role 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 teams across the organization (user acquisition, product development, etc) to understand their analytics needs and produce dashboards and analytics solutions that allow them to execute more effectively Monitor performance trends and provide regular insights to stakeholders, flagging data discrepancies and business risks before they impact results Become the subject matter expert on our profit drivers, unit economics, and campaign/funnel performance Proactively identify data gaps and inconsistencies, working cross-functionally to enhance data quality and analytical depth Work with business leaders to define key metrics and build reporting to monitor performance along those metrics Conduct in-depth i…
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