Data Analyst II

Role overview Analyze structured and unstructured data to develop useful metrics, reports, and visualizations. You’ll work with large datasets, maintain data quality, and help improve the accuracy and effectiveness of analytics systems and recurring business reporting.

Responsibilities - Create visualizations and prepare recurring monthly reports in Excel and Google Sheets. - Gather and assemble complex data from internal and external sources. - Analyze datasets independently to find trends, gaps, and opportunities to improve accuracy or efficiency. - Perform quality checks and identify missing or inconsistent data. - Troubleshoot database issues with development partners and support data infrastructure needs. - Work with analytics colleagues to improve data systems and reporting functionality.

Requirements - The source describes experience expectations ranging from two to five years in one qualification and at least five years in another; relevant data analysis experience is required. - An MBA is listed as a must-have in one qualification section; the source also describes a bachelor’s degree or equivalent education and experience. - Strong SQL skills, including writing queries, modifying macros, and building dashboards. - Advanced Excel skills, including formulas, pivot tables, lookups, macros, conditional formatting, data imports, and charts. - Ability to analyze large datasets, interpret patterns, and communicate findings clearly in writing. - Attention to detail and sound judgment when resolving issues within established procedures.

Nice to have - Experience with Google PLX Dashboards, Google Apps Script, Python, and cloud platforms such as GCP, Azure, or AWS. - Additional technical education or certifications.