Pay
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Remote, United States
Actively hiring, first seen by us 13 days agoListed location: Remote, United StatesRead the full posting
Credible is looking for a data-driven, results-oriented Data Analyst to join the Business Intelligence and Analytics team.
Monitor performance trends and provide regular insights to stakeholders, flagging data discrepancies and business risks before they impact results
Work with business leaders to define key metrics and build reporting to monitor performance along those metrics
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.
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 investigative data analyses that lead to actionable insights, owning the entire process from ideation to execution to presentation of findings to stakeholders
3+ years of work experience as a data analyst, data engineer, or in a highly analytical role
Experience using the command line and git repositories
Ability to communicate analytical findings to both technical and non-technical stakeholders
Experience writing SQL queries and optimizing data models
Experience with business to consumer (B2C)
Experience leveraging visualization/reporting tools (Looker, Tableau, etc.)
Experience with a scripting language (preferably Python) for data processing and analysis a plus
Experience developing models and visualizations in Looker a plus
Experience at an e-commerce or fintech company a plus
Actively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.7K–$144K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,811 postings in the last year. Stated ranges, not salaries paid.
Day 13
Similar jobs usually come down between day 5 and day 41.
From 10,593 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience using the command line and git repositories - Experience with a scripting language (preferably Python) for data processing and analysis a plus - Experience developing models and visualizations in Looker a plus
- 3+ years of work experience as a data analyst, data engineer, or in a highly analytical role - Experience writing SQL queries and optimizing data models - Experience leveraging visualization/reporting tools (Looker, Tableau, etc.)
- Experience leveraging visualization/reporting tools (Looker, Tableau, etc.) - Experience using Excel for analysis - Experience with A/B and multivariate testing, which includes providing input into structuring experiments appropriately
- Experience writing SQL queries and optimizing data models - Experience leveraging visualization/reporting tools (Looker, Tableau, etc.) - Experience using Excel for analysis
- Experience with a scripting language (preferably Python) for data processing and analysis a plus - Experience developing models and visualizations in Looker a plus - Experience at an e-commerce or fintech company a plus
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We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
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:
Education and Experience:
Must have:
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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Remote, United States
Working pattern and location restrictions need checking in the full posting.
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