Remote BI Analyst: AI-Driven Analytics & Dashboards

Syntas; United States; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

MacBook Pro

External display

Access to AI tools (GPT-4, Claude, Cop

Job summary

Syntas is seeking a consulting-style BI Analyst to turn scattered data from CRM, ERP, support, and marketing into trustworthy reporting for client leadership. The role blends traditional BI engineering with AI capabilities, including anomaly detection and natural-language interfaces, and is fully remote in the United States.

You will design data models, build ETL/ELT pipelines, create dashboards, and work closely with stakeholders to define KPIs.

Qualifications

• Experience designing data pipelines and BI solutions for non-technical audiences.
• Proficient in SQL, data modeling, and at least one BI/visualization platform.
• Familiar with data warehousing concepts and ETL/ELT patterns.
• Ability to interview stakeholders and translate findings into technical requirements.

Responsibilities

• Run discovery sessions with stakeholders to define KPIs and reporting requirements.
• Design data models and build ETL/ELT pipelines that move source data into warehouses or BI tools.
• Create analytics dashboards and reporting systems that give leadership real-time operational visibility.
• Implement data quality checks, handle missing data and edge cases, and document solutions for client maintainers.
• Add AI-driven features such as automated anomaly detection and natural-language query interfaces.
• Translate business questions into measurable metrics and iterate on them as client needs evolve.

Skills

SQL

Data modeling

BI dashboards

Job description

Syntas is seeking a consulting-style BI Analyst to turn scattered data from CRM, ERP, support, and marketing into trustworthy reporting for client leadership. The role blends traditional BI engineering with AI capabilities, including anomaly detection and natural-language interfaces, and is fully remote in the United States.

You will design data models, build ETL/ELT pipelines, create dashboards, and work closely with stakeholders to define KPIs.