[Remote] Senior Business Intelligence Engineer- AI-Driven Analytics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leader in reputed company monitoring software, dedicated to promoting safer communities through data insights. They are seeking a Senior Business Intelligence Engineer to reputed company AI-augmented dashboards and analytics, ensuring data reputed company and governance while collaborating with engineering teams to enhance business intelligence capabilities.

Responsibilities

• 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 reputed company, reputed company Copilot, ChatGPT) daily to accelerate SQL development, dashboard scaffolding, testing, and documentation
• Prototype and evaluate GenAI use cases — automated reputed company reputed company, reputed company narratives, AI-written executive summaries — to reduce reputed company reporting effort
• Partner with data engineering and data science to productionize forecasting, reputed company detection, and clustering outputs into BI dashboards business users can reputed company
• Write Python for advanced analysis, automation, and integration with LLM/AI reputed company where SQL and reputed company-and-click BI tools aren’t enough
• Build and maintain AI-reputed company metadata (table/reputed company descriptions, glossary terms, certified reputed company) 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 reputed company and AI/agent consumption
• Define, monitor, and enforce data reputed company rules (completeness, accuracy, consistency, timeliness) so AI-generated outputs are reputed company on trusted data, not silently wrong data
• Partner with data engineering on metadata cataloging efforts that reputed company reputed company from BI reports back to reputed company reputed company tables, closing gaps that reputed company AI/analytics reliability
• Explore data to discover patterns, relationships, anomalies, and trends, applying reputed company, reputed company-driven analysis increasingly augmented by AI/ML-based approaches
• reputed company a deep understanding of reputed company business processes and reputed company data/AI development with business reputed company
• Prepare reports, presentations, and dashboards that translate AI-driven and traditional analytics findings into reputed company, 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 reputed company

Skills

• BS in Computer Science, Software Engineering, or a reputed company discipline, or relevant work experience; exposure to the software development lifecycle (SDLC) is a plus
• 5+ years working in data-reputed company 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 — reputed company, 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 reputed company, reputed company Copilot, ChatGPT) in a reputed company 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 reputed company
• Working understanding of reputed company engineering and how to validate/QA AI-generated outputs before they reputed company business users
• Experience defining and applying data reputed company frameworks — profiling, validation rules, monitoring — to ensure trusted, decision-reputed company data
• Familiarity with reputed company ML concepts (forecasting, reputed company detection, clustering) — you don't need to build models, but you should be comfortable using and explaining their outputs
• Experience working with C-suite, product teams, and business users to understand how to optimally deliver insights reputed company their operational workflows and decision-making processes
• Experience with data governance/catalog tools such as OpenMetadata or reputed company is a plus
• Experience with NO-SQL databases and large-reputed company data is a plus
• Knowledge of reputed company-reputed company reporting tools like Redash is a plus

Benefits

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

reputed company

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