About This Role
This Business Intelligence Analyst role provides analytical support to various business teams. The core work involves delivering ad-hoc analysis, maintaining key reports and scorecards, and ensuring consistent understanding of business context and metrics among stakeholders to aid decision-making.
Responsibilities
- Step into different business areas and quickly understand business context, key KPIs, and existing analytical workflows
- Reconstruct context from available documentation, datasets, dashboards, and stakeholder inputs
- Deliver timely analysis to support decisions for business team leaders/managers
- Clarify the request’s decision purpose, assumptions, and limitations; propose approaches when appropriate
- Maintain and improve core reports, dashboards, and scorecards used by business teams
- Ensure stability and consistency of metric definitions over time
- Manage multiple stakeholder requests by aligning on scope, timelines, and expected outputs
- Proactively identify repeated requests suitable for standardization or templating to reduce future load
- Document data sources, SQL logic, assumptions, definitions, and known issues for recurring outputs
- Prepare handover materials and transfer ownership of reports/scorecards when needed
Requirements
- Bachelor’s degree in a quantitative field (e.g., Economics, Business, Statistics, Mathematics, Computer Science, Engineering) or equivalent practical experience
- 2–5 years in analytics / BI / business analysis / ops analytics
- Experience supporting multiple stakeholders or rotating across domains (e.g., shared services, consulting, operations analytics) is strongly preferred
- Hands-on experience building and maintaining recurring reports/scorecards and delivering ad-hoc analyses
- High adaptability: rapid context switching and fast ramp-up in new domains
- Strong written/verbal communication: ability to translate ambiguous questions into clear analytical work and explain results to non-technical stakeholders
- Strong SQL and data wrangling skills; ability to work independently with large datasets
- Solid analytical fundamentals: descriptive analysis, driver/root-cause analysis, cohort/funnel style thinking as applicable
- Practical BI/reporting skills (e.g., dashboards, scorecards, automated reporting) and comfort maintaining existing asset
