Data Analyst

Qualifications

  • Bachelor’s Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, or science)

  • Ability to communicate fluently in English

  • 3+ years’ experience in top-tier management consulting, investment banking, private equity, or strategy/business operations for a fast-growing globally operating tech company

  • Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL

  • Good numerical reasoning skills

  • Proficiency in Excel

  • Intellectual curiosity

What you will do

  • Work with Executives, Consultants, Researchers, and other team members to identify relevant quantitative metrics related to key product outcomes

  • Analyze customer data using advanced Excel skills and SQL. Quickly be able to organize large amounts of data into graphs, tables, and charts and integrate seamlessly into PowerPoint presentations.

  • Map KPIs back into the available data

  • Create Custom views, KPIs, and data models in a data warehouse and/or business intelligence tool from raw data to support reports and dashboards

  • Write clear and easy-to-understand documentation about how metrics are calculated to make logic transparent to data product customers

  • Ensure methodologies are consistent across data products

  • Help facilitate trainings, workshops, or coaching sessions on best practices in metrics measurement

  • Understand stakeholder needs for registries and the data they contain through discovery and interviews.

Other Details

Position is fully remote.

Gaius Consulting Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.