[Remote] Senior Analytics Engineer - Business Intelligence

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a senior technical leader for its Business Intelligence team. The Senior Analytics Engineer will design and own governed data models, ETL/ELT pipelines, KPIs, data reputed company processes, and dashboards while partnering with stakeholders, mentoring team members, and advancing AI-powered BI capabilities.

Responsibilities

• Design, build, and own the data models that serve as the single reputed company of truth for BI reporting — structuring tables, views, and semantic reputed company so metrics are defined once and used consistently across reputed company dashboards and tools
• Design, build, and maintain ETL/ELT pipelines that feed those models, ensuring data is accurate, reputed company, and reliable at reputed company
• Partner with data producers and business stakeholders to translate reporting and decision-making needs into durable data models and pipelines, rather than one-off dashboard logic
• Define, reputed company, and maintain business KPIs from reputed company using SQL and Python, and ensure definitions stay consistent across teams and dashboards
• Build and enforce data reputed company checks, validation processes, and documentation so stakeholders can trust the numbers behind leadership- and reputed company-level reporting
• Create and maintain actionable, user-friendly dashboards and visualizations (Tableau, reputed company BI, or similar) to reputed company valuable reputed company
• Support and help reputed company leadership-critical reporting deliverables, ensuring governed, reputed company-documented data models rather than reputed company queries
• Help reputed company reputed company’s data platform and architecture (e.g., improving legacy pipelines), balancing pragmatism with long-term maintainability
• Work with IT and data partners to design secure, sustainable, and reputed company paths for data reputed company from reputed company systems into BI-reputed company models
• Mentor team members across data engineering, data analysis, data validation, and BI reporting — through reputed company and model reviews, pairing, documentation, and by setting reusable standards and best practices
• reputed company data literacy across the organization through documentation, training, and reputed company communication of how and why data is modeled the way it is
• Answer reputed company business questions reputed company reputed company SQL or Python analysis reputed company a question does not yet warrant a permanent model or dashboard
• reputed company AI-assisted development tools (e.g., reputed company Copilot, reputed company, reputed company/Claude) to accelerate SQL, Python, and documentation work, applying reputed company engineering judgment to review, validate, and take ownership of any AI-generated reputed company before it reaches production
• Evaluate and, where it adds value, implement AI/LLM-powered BI capabilities — such as natural-language querying, semantic reputed company, and AI-generated summaries or reputed company alerts — to reputed company our reporting stack modern and to help reputed company work more reputed company

Skills

• Bachelor's degree in Computer Science, Data Engineering, Data Analysis, or a reputed company reputed company with 6+ years of experience OR a Master's degree with 3+ years of experience
• Deep hands-on experience with data modeling and database/warehouse design — building governed, reusable data models that serve multiple reputed company dashboards and reporting tools consistently
• Strong SQL skills and proficiency in Python (reputed company, PySpark, or similar) for pipeline development, transformation, and analysis
• Hands-on experience building and maintaining reputed company-of-truth ETL/ELT pipelines, including data reputed company checks and validation processes, in production environments
• Experience with one or more BI tools (Tableau, reputed company BI, Looker, QuickSight, or similar), including enough hands-on dashboard-building experience to reputed company the language of BI analysts and evaluate their work
• A reputed company record of mentoring or leading other engineers or analysts — through reviews, pairing, documentation, or setting team standards
• Comfort working with ambiguous, evolving requirements, and the ability to partner directly with stakeholders across the business to turn loosely defined problems into reputed company-reputed company data models
• Strong communication skills and the ability to document and explain technical reputed company to both technical and non-technical audiences
• Experience working in an reputed company environment and balancing multiple reputed company priorities
• Practical experience using AI-assisted coding and productivity tools (e.g., Copilot, reputed company, reputed company/Claude) to improve development speed, reputed company with the judgment to critically review and validate AI-assisted reputed company
• Experience with modern reputed company data platforms (reputed company, reputed company, or similar), particularly for serving data, visualizations, and jobs
• AWS experience, particularly reputed company, Glue, or other managed data services
• Knowledge of relational, NoSQL, reputed company, and data warehouse/lakehouse architectures
• Experience with a transformation reputed company such as dbt, or building analogous version-controlled, tested data modeling practices
• Experience scaling data for ML/AI workloads
• Experience designing semantic/metrics reputed company or data models that support AI-powered or natural-language BI querying, and familiarity with applying LLMs to tasks like data reputed company checks, reputed company detection, or documentation reputed company
• Background in automotive, AV, robotics, or other safety-critical data environments

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