Drive analytical problem-solving by working with large and complex data sets to address challenging, non-routine analysis issues, employing advanced analytical methods as necessary.
Collaborate with diverse, cross-functional teams to identify business needs and conduct comprehensive end-to-end data analyses.
Present findings, recommendations, and updates on key metrics to management and stakeholders through clear and impactful presentations.
Develop business cases and assess the impact of operational initiatives within the organization.
Create automated tools to continuously monitor business needs and inquiries, including scripts, visualizations, and presentations.

Requirements

Bachelor's degree in statistics, analytics, computer science, engineering or equivalent practical experience.
2 years of experience in data analysis, with a focus on data sets, visualizations, modeling, and key performance indicators (KPIs).
Experience with data manipulation tools and techniques, including SQL, spreadsheets, and data visualization technologies.
Experience in building, maintaining, and optimizing dashboards, as well as troubleshooting backend data pipelines.
Experience utilizing the Google Cloud Platform (GCP) suite of visualization and ETL (extract, transform, load) tools. (e.g. BigQuery, Looker)

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

data analysisdata visualizationdata manipulationSQLspreadsheetsdashboard optimizationbackend data pipelinesETLBigQueryLooker

Soft Skills

analytical problem-solvingcollaborationcommunicationpresentation skillsbusiness case development

Certifications

Bachelor's degree in statisticsBachelor's degree in analyticsBachelor's degree in computer scienceBachelor's degree in engineering