200+ applicants

Company

Credible · 3 hours ago

BI Data Engineer

United States

Full-time

Remote

Mid Level

$101K/yr - $133K/yr

3+ years exp

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Comp. & Benefits

Hiring Manager

Austin Cardona

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Responsibilities

Build data pipelines and python-based ETL tools for getting, processing, and delivering data.

Develop and optimize data models/schemas in our data warehouse that enable performant, intuitive analysis.

Generate end to end reporting solutions (from data ingestion to dashboards).

Work with business leaders to define key metrics and reporting requirements.

Conduct in-depth data analyses that improve infrastructure and product performance.

Become an expert on all aspects of Credible’s data and analytics infrastructure.

Be the driving force behind the adoption and effective use of our BI tool within every team at Credible.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLPythonETLData modelingBusiness Intelligence toolsData analysisLookerCommand lineGitStatisticsE-commerce experienceFintech experienceSoft skills

Required

BA/BS in a quantitative field.

3-5+ years of work experience as a data engineer, or in a highly analytical role.

Experience writing SQL queries and using a BI tool.

Experience with programmatic scripting using Python to develop ETL pipelines and tooling.

Experience using the command line and git.

Strong grasp of statistics and experience conducting rigorous data analyses.

Preferred

Experience developing models and visualizations in Looker a plus.

Experience at an e-commerce or fintech company is a plus.

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 throughout the company and communicating insights to a broad audience with varying levels of technical expertise.