Senior Analytics Manager Jobs in Raleigh, NC (NOW HIRING)

Job Summary:
Bandwidth Inc. is a global software company that helps enterprises deliver exceptional experiences through voice, messaging, and emergency services. They are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple domains.
Responsibilities:
• Architect the analytics layer: Design enterprise-grade dimensional models, conformed dimensions, and shared marts enabling consistent reporting across domains.
• Establish standards and governance: Define/enforce modeling conventions, metric definitions, documentation requirements, and data contracts.
• Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end with clear impact analysis, sequencing, risk management, and stakeholder alignment.
• Lead semantic modeling: Define semantic modeling strategy and patterns (entities, relationships, governed metrics) for BI and agent consumers.
• Lead agent enablement patterns: Establish data structures and governance to support AI agents (grounding/citations-ready provenance, versioned prompts/config where applicable, evaluation datasets, exception queues).
• Implement observability patterns: Establish monitoring/alerting strategy (freshness/volume/quality) and basic anomaly detection guardrails; mature incident response playbooks.
• Ensure platform excellence: Create performance and cost guardrails for Snowflake; standardize efficient patterns in dbt and SQL; prevent regressions.
• Lead Snowflake Administration (analytics-facing): Own analytics-oriented administration patterns including RBAC conventions for consumption, access workflows, operational guardrails, and cost governance (production administration expectation).
• Operationalize AI/analytics workflows: Define and standardize n8n automation patterns for approvals, escalations, exception queues, and system-to-system integrations supporting analytics and agent workflows.
• Represent analytics engineering in architecture reviews and governance councils.
• Participate in tool/vendor evaluations and implementation planning within approved stack and capability categories.
Qualifications:
Required:
• Bachelor’s degree required; Master’s preferred (or equivalent senior-level experience).
• 5–8+ years relevant experience in analytics engineering, analytics-focused data engineering, or BI platform engineering.
• Expert SQL and deep experience with dimensional modeling and enterprise metric consistency.
• Significant dbt experience including project architecture, macros, test strategy, templates, and deployments; deep understanding of analytics-engineering workflows (dbt, governance, testing).
• Demonstrated leadership in driving technical initiatives and mentoring other engineers.
• In-depth knowledge of generative AI / LLM concepts and enterprise application patterns (agent enablement, governance).
• Working leadership knowledge of production Snowflake administration (analytics-facing).
Preferred:
• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
• Strong Python proficiency for automation, validation frameworks, and data tooling.
• Experience implementing semantic/metric layer tooling (category) at scale.
• Familiarity with data cataloging/lineage tooling (category).
• Experience coordinating orchestration patterns with tools such as Prefect.
• Demonstrated success implementing integration frameworks using tools such as n8n (and similar platforms).
• Technical vision with ability to balance innovation and practical implementation.
Company:
Bandwidth is the universal communications platform that simplifies how businesses deliver integrated global experiences. Founded in 1999, the company is headquartered in Raleigh, USA, with a team of 1001-5000 employees. The company is currently Late Stage.