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Senior Analytics Engineer
Avison Young | US
- Chicago, Illinois, United States
- Chicago, Illinois, United States
About
You will act as a player‑coach, balancing hands‑on development with leadership of other engineers, while partnering closely with business stakeholders to define metrics, data models, and semantic consistency across the company. Your work will directly enable better decision‑making by ensuring data is not just available, but trusted, well‑structured, and meaningful.
What we value in a business analys
t:Customer-focused: You prioritize building data products and models that are intuitive, trusted, and drive real business outcome
s.Attention to detail: You ensure data accuracy, consistency, and quality across complex transformations and model
s.Diverse thoughts: You collaborate effectively, incorporate feedback, and value multiple perspectives in shaping data solution
s.Team player & leade r: You lead by example—mentoring others, setting standards, and contributing hands‑on alongside your team
m.Pragmatic: You balance speed and quality, making smart trade‑offs without compromising long‑term maintainabilit
y.Data product mindset: You treat datasets as products, with clear ownership, definitions, and accountabilit
y.Global team mate: Comfortable working in a collaborative, distributed team environmen
t.The base salary is aligned with market data and is estimated between $93,000 to $120,000 with the ability to achieve additional compensation through bonus. This salary range reflects base compensation for the position across all US locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equit
y. Responsibilit iesAnalytics Engineering & Data Modeling (Core Focu
s):Design, develop, and maintain scalable, business‑aligned data models in Snowflake using dbt (staging, intermediate, marts laye
rs)Define and enforce semantic consistency, including metrics, dimensions, and KPIs across the organizat
ionBuild and manage dbt projects, including models, tests, documentation, and line
ageDesign, deploy, and maintain Snowflake Cortex Search and semantic models to provide high‑quality, governed data structures for LLM‑powered applications and AI initiati
vesOversee development operations and deployments of the data platf
ormTranslate business requirements into well‑structured, reusable data mod
elsImplement data quality testing, validation, and documentation to ensure trusted d
ataOptimize query performance and transformation efficiency in Snowfl
akeEstablish and enforce data modeling standards, best practices, and design patte
rnsDevelop reusable analytics components to accelerate data product developm
entData Product & Stakeholder Engageme
nt:Partner with business stakeholders to define metrics, KPIs, and data definiti
onsEnsure alignment between business needs and technical implementati
onsContribute to the development of data products and semantic layers that support analytics and report
ingDrive adoption and usability of data models across analytics and business te
amsLeadership & Team Responsibilities (Player-Coac
h):Lead and mentor a small team of analytics/data engine
ersSet standards for dbt development, code reviews, testing, and documentat
ionContribute hands‑on to development (~60–70%) while guiding team deliv
eryDrive team productivity, technical direction, and project execut
ionSupport Agile processes, including backlog prioritization and sprint plann
ingCoordination & Delive
ry:Gather and refine business requirements for data initiati
vesTranslate business needs into clear technical requirements and user stor
iesSupport deployment, environment management, and release proces
sesEnsure high‑quality delivery through testing, validation, and stakeholder alignm
entQualificati
ons5+ years of experience in analytics engineering, data engineering, or related ro
lesStrong expertise in SQL and data warehousing conce
ptsProven experience with dbt and Snowflake (requir
rs)Experience building and maintaining analytics‑ready data models and transformati
onsDemonstrated ability to lead projects or mentor team members in a player‑coach capac
ityExperience with data quality, testing frameworks, and documentation practi
cesFamiliarity with Airflow / Astronomer or similar orchestration to
olsExperience working with data pipelines, ETL/ELT processes, and cloud data platfo
rmsStrong analytical thinking and ability to connect data solutions to business outco
mesBachelor’s degree in Information Technology, Business, or a related field, or equivalent experie
nceNice to ha
ve:Experience in commercial real estate, geospatial data, or location‑based analyt
icsExperience building data products or semantic layers for BI to
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Languages
- English
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