Data Analyst

Alexander Chapman Ltd; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Alexander Chapman Ltd. seeks a Forward Deployed Analytics Engineer in New York to bridge data, product, and customer needs.

You will work directly with clients to understand commercial problems, dive into the data, and build models, tools, and insights for pricing, inventory, product assortment, and distribution decisions. You’ll apply SQL and data warehousing skills, with dbt, and familiarity with ClickHouse, Snowflake, BigQuery, Power BI or Tableau.

Qualifications

• Strong SQL and data warehousing experience.
• Experience with dbt and building data models.
• Familiarity with ClickHouse, Snowflake, BigQuery, Power BI or Tableau.

Responsibilities

• Work with clients to understand commercial problems and translate to data solutions.
• Build data models, insights, and tooling to support pricing, inventory, and distribution decisions.
• Collaborate across data, product, and customer teams to improve business outcomes.

Skills

SQL

Data warehousing

dbt

ClickHouse

Snowflake

BigQuery

Power BI

Tableau

Job description

Disclaimer: This position only accepts U.S. Citizens, Green Card Holders and Canadian Citizens.

I’m working on a Forward Deployed Analytics Engineer position with a well-funded, high-growth data and AI company that works with major brands selling through some of the largest home improvement retailers in the US.

What makes the role interesting is that it goes beyond traditional Analytics Engineering. You’d sit at the intersection of data, product, and customers - working directly with clients to understand real commercial problems, getting hands-on with the underlying data, and building the models, tools, and insights that actually help businesses make better decisions around things like pricing, inventory, product assortment, and distribution.

Technically, they’re looking for someone with strong SQL and data warehousing experience, ideally with tools such as dbt, and experience building and maintaining data models. Experience with ClickHouse, Snowflake, BigQuery, Power BI, Tableau, or similar technologies would all be relevant.

The bigger attraction, in my view, is the scope of the role. You wouldn’t be siloed into one part of the data lifecycle, you’d have visibility across the entire process and the opportunity to work closely with both the technical team and customers.

The company is well funded, growing strongly, and this is currently one of their highest-priority hires.