Client-Facing BI Analyst: Power BI Dashboards & Automation

Hidden Jobs; United States; Remote; USD 85,000 - 120,000; Full time

Job summary

Hidden Jobs is seeking a Business Intelligence Analyst to convert complex data into actionable insights for client-facing strategies and operational improvements.

The role blends analytics, reporting, and tool-building to support accurate client reporting and dashboard automation across multiple data sources. This position suits someone who enjoys turning data into decision-ready outputs and driving operational efficiency.

Qualifications

• Bachelor's degree in Business Analytics, Data Science, Computer Science, Information Systems, Statistics, or Mathematics.
• 3+ years of BI, data analysis, or market research experience.
• Hands-on experience with Power BI and SQL for data visualization and querying.
• Familiarity with data warehouse technologies, data modeling, and diverse data sources/APIs.
• Advanced Excel skills and strong analytical thinking.

Responsibilities

• Collaborate with the program management office to deliver monthly, quarterly, and annual client reports on time.
• Complete complex ad-hoc reports in response to client requests.
• Learn and apply Vendor Management Systems such as Fieldglass, Beeline, VNDLY, and Coupa for reporting.
• Analyze data from multiple sources to deliver insights and recommendations.
• Design and enhance client-facing Power BI dashboards using API integrations.
• Manage and update client-facing Power Pages to keep content current.
• Design automation for client production reports and related workflows, including rate cards.

Skills

Data analysis

Analytical thinking

Business insight

Education

Bachelor's degree in relevant field

Tools

Power BI

SQL

Excel

Job description

Hidden Jobs is seeking a Business Intelligence Analyst to convert complex data into actionable insights for client-facing strategies and operational improvements.

The role blends analytics, reporting, and tool-building to support accurate client reporting and dashboard automation across multiple data sources. This position suits someone who enjoys turning data into decision-ready outputs and driving operational efficiency.