Sr Analytics Engineer

In the Business Intelligence Center of Excellence (BICOE) at Northwestern Mutual, this Sr Analytics Engineer role focuses on delivering reusable, governed analytical assets that support trusted enterprise decision-making and AI-enabled support.

Role Overview

You will help establish consistent cross-domain analytics by leading metric certification, lineage and metadata collection, and data quality monitoring. The position also emphasizes cataloging analytical products for enterprise visibility, promoting adoption and reuse, and ensuring alignment with enterprise data standards and governance practices.

Responsibilities

• Lead business and technical requirements for developing reusable cross-domain analytical data products, with a focus on metric certification, lineage identification, and metadata collection.
• Partner with business stakeholders to define, document, and align metrics, KPIs, business rules, and analytical requirements to support consistency, trust, and reuse.
• Deliver a scalable analytics layer that standardizes enterprise metrics (OKRs/KPIs) to enable self-service and trusted cross-functional business intelligence.
• Define analytical data quality rules that connect technical standards to business needs, proactively monitor and manage data drift, and support trusted analytical outcomes.
• Conduct routine data validation, reconciliation, and quality assessments across the analytics lifecycle and BICOE-supported products.
• Drive the cataloging of cross-domain analytical products to improve enterprise visibility and understanding of how to use assets in Atlan.
• Act as an advocate for adoption and reuse of analytical data products and other enterprise approved assets.
• Apply curiosity toward emerging technologies that improve data discoverability, contextual understanding, trusted consumption, and AI-enabled decision support.
• Partner with Data Solutions & Enablement and business stakeholders to ensure end-to-end alignment with enterprise data standards, governance practices, and approved data sources.
• Establish mentorship and coaching communities within and beyond the BICOE.

Required Qualifications

• Bachelor’s Degree in a related field.
• 5+ years in analytics, data, or technology-related roles, including 3+ years applying the listed technical skills using platforms such as Databricks, Snowflake, AWS, Atlan, and related tools.
• Demonstrated understanding of Large Language Models (LLMs), including prompt engineering, model capabilities, limitations, and practical business applications.
• Ability to translate ambiguous business concepts into structured metrics, analytical models, and reusable data products.
• Ability to work cross-functionally between business and technical stakeholders.
• Experience with metric management platforms and strong collaboration in researching how metrics are sourced, calculated, and shared.
• Strong aptitude for data quality, lineage, provenance, and governance in an analytics-focused environment.
• Strong SQL skills, including query optimization and performance management.
• Proven track record collecting, designing, and maintaining large data models.
• Experience developing large analytical datasets, semantic models, dimensional models, or curated analytical data products.
• Strong understanding of modern data modeling principles, including data grain, dimensions, facts, hierarchies, and reusable business logic.

Technologies

• Databricks
• Snowflake
• AWS
• Atlan
• Large Language Models (LLMs)
• Prompt engineering
• SQL

Benefits

• Flexible work schedules
• Concierge service
• Comprehensive benefits
• Employee resource groups

Compensation

• Annual pay range: USD 118,960 - 178,440
• Geographic-specific pay structure:
  • Structure 110: $130,880.00 USD - $196,320.00 USD
  • Structure 115: $136,800.00 USD - $205,200.00 USD

Location and Work Style

• Milwaukee, WI
• Hybrid