Senior Analytics Engineer II - R01564337

Brillio•Austin, TX

About The Position

Brillio is a fast-growing digital technology service provider and a partner of choice for many Fortune 1000 companies, helping them turn disruption into a competitive advantage through innovative digital adoption. Brillio is known for its world-class professionals, referred to as "Brillians," who seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio prides itself on being an employer of choice, attracting exceptional talent due to its focus on contemporary, groundbreaking technologies and exclusive digital projects. The company's commitment to providing an exceptional experience for its Brillians and nurturing their full potential consistently earns them the Great Place to Work® certification year after year. The Senior Analytics Engineer plays a pivotal role in enabling a data-driven culture by designing, building, and scaling high-quality analytics infrastructure. This role sits at the intersection of data engineering, analytics, and business intelligence, transforming raw data into trusted, actionable insights that drive strategic and operational decision-making across the organization. As a senior member of the Data & Analytics team, you will own end-to-end delivery of analytical solutions, partner closely with business stakeholders, and apply strong engineering rigor to ensure scalability, reliability, and self-service capabilities across the analytics platform.

Requirements

4+ years of industry experience in analytics engineering, data engineering, or advanced analytics roles.
Expert level SQL skills with demonstrated experience building production grade data models in cloud data lakehouse environments such as Snowflake or Databricks.
Strong experience designing scalable analytics layers that support BI, operational reporting, and advanced analysis.
Hands on experience developing dashboards and self-service analytics using tools such as Tableau, Power BI, or Looker.
Proven ability to partner with business users and translate ambiguous requirements into impactful analytics solutions.
Self starter with strong accountability, a growth mindset, and the ability to deliver high quality outcomes independently and collaboratively.
Team oriented mindset with excellent communication skills and appreciation for diverse perspectives.

Nice To Haves

Experience with customer acquisition, sales funnel, or revenue analytics.
Prior exposure to the real estate industry or other fast moving, market driven domains.
Familiarity with metrics governance, data quality frameworks, or analytics enablement practices.
Experience working closely with data science or experimentation teams.

Responsibilities

Architect the Business Insights Foundation: Partner with data engineers to design, build, and maintain analytics transformation layers that act as a single source of truth for downstream reporting, BI, and data science use cases.
Deliver Business Facing Insights: Own the complete analytics lifecycle—from requirements gathering and data modeling to scalable dashboards and self-service analytics solutions.
Stakeholder Collaboration: Serve as the technical analytics partner to business stakeholders, translating functional and strategic needs into automated, scalable data solutions.
Data Storytelling: Develop compelling dashboards, metrics, and analytical narratives that communicate insights effectively to both technical and non-technical audiences.
Build for Scale & Reusability: Design standardized, reusable business metrics and data models that support automated reporting and enable deep dive self-service analysis.
Apply Engineering Best Practices: Improve analytics infrastructure using software engineering principles such as version control, modular design, testing, documentation, and performance optimization.

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