Business Intelligence Analyst, Global Affairs

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 4 years of experience in Business Intelligence or Data Analytics.
  
• 4 years of experience programming in SQL.

Preferred qualifications:

• Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Qlik, or similar technologies).
• Experience explaining technical analysis to stakeholders.
• Experience with data analysis at a law firm, in-house legal/compliance department, within government, or related industry experience.
• Knowledge of low-code/no-code development platforms (e.g., spreadsheet scripts, AppSheet, Power Apps, Airtable, or similar technologies).

About the job

From developing forward-thinking analysis to generating management reporting and dashboards, we provide business intelligence solutions for Global Affairs (GA). As a Business Intelligence Analyst, you will help the Business Intelligence Group (BIG) enable a more data-driven Global Affairs (GA) organization. The goal is to leverage the GA data ecosystem to drive decisions for cross-team initiatives and support business operations. In this role, you will support the key stakeholders managing reporting and analysis.The US base salary range for this full-time position is $117,000-$167,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Develop BI solutions such as building pipelines, dashboards, models, and tools to analyze and present data.
• Develop applications using AppSheet and other low-code/no-code development platforms to automate business processes, create custom tools, and improve data accessibility for moderate complexity/moderate volume workloads.
• Work cross-functionally with teams to understand existing datasets and identify data sources needed to support the business.
• Provide insights to the business through data analysis to drive impact across teams.