Data Analyst/Engineer
Job in
Jericho, Nassau County, New York, 11753, USA
Listed on 2026-01-27
Listing for:
1-800-FLOWERS.COM, INC.
Full Time
position Listed on 2026-01-27
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Job Description & How to Apply Below
We are seeking a motivated and technically strong Data Analyst / Engineer to join our growing Data Products & Platforms team. This role sits at the intersection of analytics and data engineering and is ideal for someone who enjoys transforming raw data into trusted, analytics‑ready datasets that drive business decisions.
In this role, you will partner closely with business stakeholders, analytics teams, and data platform partners to design, build, and maintain reusable datasets in Snowflake
. You’ll leverage modern ELT tools and semantic layers to support reporting and self‑service analytics across the organization while helping ensure our data is reliable, well‑documented, and ready for advanced analytics and AI use cases.
- Design, build, and maintain analytics‑ready datasets in Snowflake using curated data from ELT pipelines
- Develop and support semantic views to standardize business logic, definitions, and metrics
- Partner with business stakeholders to understand reporting and analytical needs and translate them into scalable data solutions
- Enable and support self‑service analytics across BI tools such as Sigma and Power BI
- Define, document, and maintain clear metric definitions and dataset documentation
- Monitor, validate, and improve data quality, reliability, and performance
- Collaborate with data engineering and platform teams to continuously improve the analytics data layer
- Support AI and advanced analytics use cases by delivering high‑quality, well‑structured datasets suitable for forecasting, machine learning, and generative AI
- Ensure data is AI‑ready by maintaining consistent feature definitions, freshness standards, and documentation
- Be part of a modern data organization that treats data as a product
- Work with a contemporary analytics stack including Snowflake, Coalesce.io, Sigma, and Power BI
- Opportunity to grow your skills across both analytics and data engineering
High‑impact, highly visible role influencing how the business uses and trusts data
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