Business Intelligence Analyst
Syntas is looking for a Business Intelligence Analyst to help our clients transform raw data into actionable insights that drive better decision-making. You will design data pipelines, build reporting systems, and create analytics dashboards that give leadership real-time visibility into their operations—enhanced by AI capabilities that surface patterns and anomalies humans might miss. This role combines traditional BI skills with modern data engineering and AI augmentation. You will work with clients across industries to understand their metrics, build the data infrastructure to track them reliably, and deliver reporting solutions that become essential tools for running their businesses.
About the Role
As a Business Intelligence Analyst at Syntas, you will be the bridge between raw operational data and the insights that drive business decisions. Every client has data scattered across systems—CRM, ERP, support tickets, marketing platforms, custom applications—and your job is to bring it together into coherent, trustworthy reporting that leadership can act on with confidence.
Your work begins with understanding what questions clients need to answer. What metrics actually matter for their business? How do they currently track performance? Where are the gaps in visibility? You will conduct discovery sessions with stakeholders across functions—sales, operations, finance, customer success—to understand their reporting needs and define the KPIs that will form the foundation of your analytics solution.
From there, you will build the data infrastructure to support reliable reporting. This means designing data models, building ETL pipelines that extract from source systems, transforming data into analysis-ready formats, and loading into warehouses or BI tools. You will implement data quality checks, handle edge cases and missing data gracefully, and create documentation so clients can maintain and extend the systems you build.
The AI dimension of this role elevates traditional BI into something more powerful. You will implement automated anomaly detection that alerts stakeholders to unusual patterns. You will build natural language interfaces that let non-technical users query data conversationally. You will create AI-powered narrative generation that explains what dashboards are showing and why it matters. These capabilities transform static reports into intelligent systems that proactively surface insights.
What You Will Build
- 1Executive dashboards that provide real-time visibility into operational and financial KPIs
- 2ETL pipelines that extract data from diverse sources and transform it for analysis
- 3Data models and warehouse schemas optimized for reporting and self-service analytics
- 4Automated reporting systems that generate and distribute insights on schedule
- 5AI-powered anomaly detection that proactively alerts stakeholders to unusual patterns
- 6Natural language query interfaces that let users ask questions of their data conversationally
- 7Data quality monitoring systems that ensure reporting accuracy and completeness
Key Responsibilities
- Conduct discovery sessions with client stakeholders to understand reporting requirements and define KPIs
- Design data models and warehouse schemas that support efficient querying and flexible analysis
- Build ETL pipelines to extract data from CRM, ERP, and operational systems into centralized warehouses
- Create interactive dashboards and visualizations using modern BI tools (Metabase, Looker, Tableau)
- Implement data transformations using dbt or similar tools for maintainable, tested data pipelines
- Develop AI-enhanced analytics including anomaly detection, forecasting, and natural language interfaces
- Establish data quality frameworks with validation rules, monitoring, and alerting
- Document data definitions, calculation logic, and pipeline dependencies for client teams
- Train client users on self-service analytics and dashboard interpretation
- Optimize query performance and dashboard load times for large datasets
- Collaborate with engineering teams to instrument applications for better data capture
- Stay current with BI tools, data engineering practices, and AI-powered analytics capabilities
- Contribute to internal BI frameworks and reusable components for common analytics patterns
What We Are Looking For
- 3+ years of experience in business intelligence, data analytics, or data engineering roles
- Strong SQL proficiency including complex queries, window functions, and query optimization
- Experience with modern data warehouses (Snowflake, BigQuery, Redshift) and data modeling
- Hands-on experience with BI tools such as Metabase, Looker, Tableau, or Power BI
- Knowledge of ETL concepts and experience with tools like dbt, Fivetran, or Airbyte
- Python proficiency for data processing, analysis, and automation scripts
- Understanding of data visualization best practices and dashboard design principles
- Experience extracting data from common business systems via APIs and database connections
- Familiarity with AI/ML concepts and interest in applying them to analytics use cases
- Strong communication skills with ability to translate technical findings for business audiences
- Attention to detail and commitment to data accuracy and quality
- Self-directed work style with ability to manage analytics projects independently
Nice to Have
- Experience with real-time analytics and streaming data pipelines
- Background in statistical analysis and familiarity with R or advanced Python analytics libraries
- Knowledge of LLM-based text analytics and natural language processing
- Experience with data orchestration tools (Airflow, Dagster, Prefect)
- Familiarity with data catalog and governance tools
- Background in specific verticals: e-commerce, SaaS metrics, financial reporting
- Experience with embedded analytics and white-label BI solutions
- Understanding of data privacy regulations (GDPR, CCPA) and their impact on analytics
- Prior consulting experience with client-facing data projects
- Certification in BI platforms (Tableau, Looker) or cloud data platforms
- Experience with reverse ETL and operational analytics
- Public speaking or content creation experience in data/analytics space
Tech Stack
Benefits & Perks
- Competitive salary: $100,000 - $150,000 depending on experience
- Equity participation with meaningful upside as we grow
- Fully remote work with flexible hours—work from anywhere in the US
- Comprehensive health, dental, and vision insurance (100% premium covered for employee)
- Unlimited PTO with encouraged minimum of 4 weeks—we mean it
- $3,000 annual learning and development budget for courses, books, and certifications
- Conference attendance budget including travel—attend or speak at data conferences
- Top-tier hardware: MacBook Pro, external display, and peripherals of your choice
- All AI tools and subscriptions you need: GPT-4, Claude, GitHub Copilot, and more
- Quarterly team offsites in interesting locations
- 401(k) with company match
- Paid parental leave (12 weeks)
- Home office setup stipend ($1,000)
- Work on genuinely interesting problems across diverse industries
Ready to Apply?
Send us your resume and a brief introduction. Tell us about your experience with AI/ML systems and what excites you about this opportunity.