Senior Business Intelligence Engineer- AI-Driven Analytics

SambaSafety; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401k Employer Match

Generous Healthcare Benefits

Paid Time Off & Volunteer Days

Flexible Work Arrangements

SambaSafety swag & events

Job summary

SambaSafety is seeking a Senior Business Intelligence Analyst to drive AI-augmented analytics and trusted data foundations. You will build dashboards in Power BI and Looker, maintain AI-ready metadata, and collaborate with data engineering and data science to productionize forecasting and anomaly detection.

You’ll leverage AI tools daily to accelerate development and ensure explainable insights. The role blends traditional BI with AI-driven analytics, requiring strong SQL, Python, and governance

Qualifications

• Expert-level SQL across RDBMS
• 5+ years in data roles with BI exposure
• Experience with Modern Data Stack (Snowflake, Power BI, Looker) and ETL tools
• Hands-on with AI-assisted development tools in real workflows
• Familiarity with data governance and metadata tools

Responsibilities

• Design and build AI-augmented dashboards and self-service analytics
• Use AI-assisted tools daily to accelerate SQL development and documentation
• Prototype GenAI use cases to reduce manual reporting
• Partner with data engineering/science to productionize forecasting and anomaly detection
• Write Python for advanced analysis and AI integration
• Maintain AI-ready metadata and semantic views for AI queries
• Guide engineering on Semantic Views for business terms
• Define and enforce data quality rules for trusted outputs
• Trace lineage from BI reports to Snowflake sources

Skills

SQL

Python

AI tools

Data quality

LLM analytics

Semantic modeling

Data governance

AI-assisted development

Education

BS in Computer Science

Tools

Snowflake

Power BI

Looker

OpenMetadata

ETL tools

Job description

What You’ll Do:

As a Senior Business Intelligence Analyst on SambaSafety’s Enterprise Data Team, you will sit at the intersection of traditional BI and modern AI-driven analytics. You’ll build the dashboards, semantic layers, and AI-ready data foundations that let business users — and increasingly, AI agents — get trustworthy answers fast. This role is for someone who wants to actively use AI tools in their daily development workflow (not just report on AI as a topic), while applying rigorous data quality and governance discipline to make sure AI-generated insights are accurate, explainable, and trusted.

Responsibilities:

AI-Augmented Analytics & Development

• Design and build AI-augmented dashboards and self-service analytics experiences using Power BI and Looker, including natural-language query interfaces backed by Semantic Views
• Use AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) daily to accelerate SQL development, dashboard scaffolding, testing, and documentation
• Prototype and evaluate GenAI use cases — automated insight generation, anomaly narratives, AI-written executive summaries — to reduce manual reporting effort
• Partner with data engineering and data science to productionize forecasting, anomaly detection, and clustering outputs into BI dashboards business users can act on
• Write Python for advanced analysis, automation, and integration with LLM/AI APIs where SQL and point-and-click BI tools aren’t enough
• Build and maintain AI-ready metadata (table/column descriptions, glossary terms, certified lineage) in OpenMetadata that powers natural-language-to-SQL agents and other AI query tools
• Guide and advise engineering teams on the design and adoption of Semantic Views so business terms map cleanly to underlying tables for both human and AI/agent consumption
• Define, monitor, and enforce data quality rules (completeness, accuracy, consistency, timeliness) so AI-generated outputs are built on trusted data, not silently wrong data
• Partner with data engineering on metadata cataloging efforts that trace lineage from BI reports back to source Snowflake tables, closing gaps that block AI/analytics reliability

Core BI & Business Partnership

• Explore data to discover patterns, relationships, anomalies, and trends, applying structured, hypothesis-driven analysis increasingly augmented by AI/ML-based approaches
• Gain a deep understanding of core business processes and align data/AI development with business strategy
• Prepare reports, presentations, and dashboards that translate AI-driven and traditional analytics findings into clear, fact-based recommendations for the next steps
• Analyze testing results to ensure BI and AI-assisted solutions meet business needs; recommend standards, policies, and procedures for BI tools, systems, and responsible AI use
• Present insights to stakeholders up to the C-suite, translating technical AI/analytics outputs into language business decision-makers can act on

What You’ll Need:

• BS in Computer Science, Software Engineering, or a related discipline, or relevant work experience; exposure to the software development lifecycle (SDLC) is a plus
• 5+ years working in data-related roles, 2+ years involved in company(s) Business Intelligence processes
• Expert-level SQL across different RDBMS technologies, plus working knowledge of Python for data analysis and automation
• Experience with the Modern Data Stack — Snowflake, Power BI, Looker, and ETL tools; exposure to other Business Intelligence platforms is a plus
• Hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, ChatGPT) in a real development workflow — not just casual use
• Experience with or strong interest in LLM-powered analytics: natural-language-to-SQL, RAG-based query agents, or Semantic Views
• Comfortable acting as the business/semantic-modeling voice in conversations with data engineering — translating business definitions into Semantic View design guidance rather than writing the underlying pipeline code
• Working understanding of prompt engineering and how to validate/QA AI-generated outputs before they reach business users
• Experience defining and applying data quality frameworks — profiling, validation rules, monitoring — to ensure trusted, decision-ready data
• Familiarity with applied ML concepts (forecasting, anomaly detection, clustering) — you don’t need to build models, but you should be comfortable using and explaining their outputs
• Experience with data governance/catalog tools such as OpenMetadata or Atlan is a plus
• Experience with NO-SQL databases and large-scale data is a plus
• Experience working with C-suite, product teams, and business users to understand how to optimally deliver insights within their operational workflows and decision-making processes
• Knowledge of open-source reporting tools like Redash is a plus

Benefits and Perks:

• Flexible and generous Paid Time Off and Paid Volunteer Days
• 401k Employer Match
• Generous Healthcare Benefits
• Up to 12 weeks paid time off for maternity leave based on tenure
• Wellness &Tuition Reimbursement
• Flexible Work Arrangements
• Lots of SambaSafety swag & SambaSafety Events

Our team of talented and committed safety professionals is exceptional. At SambaSafety we strive to foster an inclusive culture that supports, encourages and celebrates a wide array of diversity. We are committed to create a space where all employees can show up as their authentic selves every day, and we work to advance employee equality, diversity and inclusion.

SambaSafety provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, gender identity, and expression or genetics.

Come join us to find out for yourself what all the excitement is about!