Data Analyst (Contract)

Role Overview

Partner with business stakeholders to translate business questions into clear metrics, analysis plans, dashboards, and recommendations. Monitor and analyze core business metrics and connect each other into one comprehensive analysis. Build and maintain reports related to various business metrics.

What You Will Do

Perform root causes analysis and evaluation on various business metrics. Perform forecasting or predictive analysis related to various business metrics. Present findings clearly and recommend practical actions to related business stakeholders and managerial stakeholders.

Why It Might Be a Fit

Ability to translate business questions into structured analysis and explain findings to non-technical stakeholders. Strong attention to data quality, metric definitions, documentation, and reconciliation.

Requirements

• At least 1 year of relevant experience in data analysis, business intelligence, business analysis, or related fields.
• Bachelor’s degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Information Systems, Business, Finance, or another relevant field—or equivalent practical experience.
• Strong SQL skills, including joins, aggregations, conditional logic, window functions, and data validation.
• Basic Python skills for data analysis, automation, and lightweight data scripts, including use cases such as ingesting Google Sheets data into BigQuery.
• Familiarity with Git and GitHub for version control, collaboration, and maintaining analytical scripts.
• Hands-on experience with dashboards or data visualization tools and the ability to choose clear, decision-oriented visualizations.
• Strong spreadsheet skills and a practical understanding of descriptive statistics, trends, variance, funnel, cohort, or segmentation analysis.
• Ability to translate business questions into structured analysis and explain findings to non-technical stakeholders.
• Strong attention to data quality, metric definitions, documentation, and reconciliation.

Tagged as: Data Analysis