Senior Analytics Engineer

Job Summary

Neutrino Advisory is looking for a Senior Analytics Engineer to help build modern, scalable, and

trusted data foundations that enable organizations to make better business decisions.

In this role, you will design, build, and maintain transformation and semantic layers that convert raw data from enterprise platforms into governed, well-tested, documented, and business-ready datasets and metrics.

You will play a key role in enabling both centralized and self-service analytics, ensuring that analysts, business stakeholders, and AI-enabled tools can access and generate trustworthy insights from enterprise data. The ideal candidate brings strong software engineering discipline to analytics development, including version control, automated testing, code reviews, and continuous integration and deployment. You will work closely with business stakeholders, data engineers, BI developers, and technology teams to establish best practices and deliver high-quality data products.

This is a hands-on senior-level role with opportunities to influence architecture, establish engineering standards, mentor team members, and contribute to Neutrino's growing Data & Analytics practice.

Key Responsibilities

• Design, develop, and maintain dbt models on Microsoft Fabric, transforming raw source data

into clean, well-documented staging, intermediate, and mart layers using consistent modeling

standards and naming conventions.

• Design and co-own Power BI semantic models, including certified datasets, shared

measures, and row-level security, ensuring consistent metric definitions across reports,

dashboards, and self-service analytics.

• Establish and implement data quality standards through dbt tests, source freshness checks,

data contracts, monitoring, and alerting mechanisms.

• Implement software engineering best practices for analytics development, including Git-based

workflows, pull request reviews, automated CI/CD for dbt and Fabric deployments, and

environment management across development, testing, and production.

• Collaborate with business stakeholders, finance, operations, and technology teams to translate

business requirements into reliable data models, metrics, and analytical solutions.

• Establish clear documentation for data models, metrics, business definitions, and data

lineage to enable analysts, business users, and AI-powered tools to discover and confidently

use enterprise data.

• Develop and maintain a catalog of certified datasets, business metrics, and data ownership.

• Optimize data transformation pipelines and semantic models for performance, scalability, and

cost through incremental loading, partitioning, and efficient query design.

• Apply appropriate data access controls, privacy protections, security standards, and

auditability requirements in collaboration with information security and compliance teams.

• Review technical deliverables, mentor junior analysts and engineers, and promote best

practices in analytics engineering and data modeling.

• Contribute to the development of reusable templates, technical standards, frameworks, and

onboarding documentation.

• Evaluate emerging tools, technologies, and architectural approaches to continuously improve

the data and analytics ecosystem.

• Troubleshoot complex data and pipeline issues, conduct root cause analysis, and

communicate resolutions and business impact effectively to technical and non-technical

stakeholders.

Required Knowledge, Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, Information

Systems, or a related field, or equivalent practical experience.

• 6+ years of experience in Analytics Engineering, Data Engineering, or Business Intelligence

development, with demonstrated experience delivering production-grade data models.

• Advanced SQL skills, including query optimization, dimensional modeling, fact and dimension

tables, and slowly changing dimensions (SCD).

• Hands-on experience with dbt in production environments, including modular model

development, testing, documentation, macros, incremental models, and deployment

practices.

• Experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory,

and data pipelines, or comparable cloud data platforms such as Snowflake, Databricks, or

BigQuery.

• Strong Power BI experience, including semantic model design, DAX, row-level security, and

governance of shared datasets.

• Familiarity with AI-enabled analytics tools and the data architecture, governed metrics,

metadata, and documentation required to support reliable AI-driven insights.

• Working knowledge of Git, pull request workflows, and CI/CD pipelines using tools such as

Azure DevOps or GitHub Actions.

• Proficiency in Python for scripting, automation, and data validation.

• Experience implementing data quality, testing, monitoring, and observability practices.

• Ability to translate complex or ambiguous business requirements into clear technical designs

and communicate architectural decisions and trade-offs effectively.

• Strong written and verbal communication skills, with the ability to collaborate across technical

and business teams.

• Understanding of data privacy, security, governance, and compliance principles.

Preferred Qualifications

• Experience in financial services, wealth management, banking, healthcare, or other

regulated industries.

• Familiarity with CRM, portfolio accounting, financial reporting, or custodial data.

• Experience building enterprise-scale analytics platforms using Microsoft Azure and Microsoft

Fabric.

• Exposure to modern data architecture patterns, including medallion architecture, data lakes,

lakehouses, and enterprise data warehouses.

• Experience working with AI-powered analytics, natural language querying, and enterprise data

governance for AI adoption.

What We Offer

• Opportunity to work on modern data engineering and analytics transformation initiatives.

• Exposure to enterprise-scale implementations across Microsoft Fabric, Power BI, Azure, and

modern data platforms.

• Opportunity to work with emerging AI technologies and help shape the future of enterprise

analytics.

• A collaborative, technology-driven environment with opportunities for continuous learning and

professional growth.

• The opportunity to take ownership, influence technical direction, and contribute to building

Neutrino's Data & Analytics practice.

About Neutrino Advisory

Neutrino Advisory is a Digital Strategy, Advisory & Marketing Technology firm helping organizations navigate digital transformation through data, cloud, CRM, enterprise platforms, and applied AI. We combine business strategy with technology expertise to build scalable solutions that deliver measurable business outcomes.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.