Working with multiple stakeholders to provide quantitative support.
Define metric rules and logic, deliver tables and reports.
Model business scenarios and solve a wide range of business problems.
Create new pipelines from scratch, merging financial and ERP data sets.
Engineering foundational table resources using Google Cloud Platform (GCP): BigQuery, Dataform, LookML, Dataplex, etc.
Develop pipelines, metrics, tools, and analyses for strategic decision-making.

Requirements

Bachelor's degree or equivalent practical experience.
5 years of experience in analytics, data science, and/or computer science engineering.
5 Years of experience with using SQL, writing queries from scratch on a daily basis, data engineering, architecture, pipeline management, and Extract, Transform, Load (ETL).
Expertise using GCP tools.

Benefits

bonuses
cash award
benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata engineeringdata architecturepipeline managementExtract, Transform, Load (ETL)data analysisbusiness modelingmetric definitionreportingquantitative support

Soft Skills

stakeholder managementproblem-solvingstrategic decision-making

Certifications

Bachelor's degree