Data Analyst

1-800-FLOWERS.COM, Inc. is looking for a technically strong and analytical Data Analyst / Engineer to join our Business Intelligence team. This role is ideal for someone who enjoys digging into complex data problems, understanding how data moves through a modern data environment, and working directly with business stakeholders and technical teams to turn business needs into scalable data solutions. You will play a key role in gathering requirements, analyzing existing data pipelines and warehouse structures, documenting transformation logic, validating data solutions, and troubleshooting data quality or pipeline issues. This is not a reporting-only analyst role. We are looking for someone with strong SQL skills who understands data warehouses, ETL/ELT processes, data transformations, and testing and validation. What You’ll Do Partner with business stakeholders to gather, clarify, and document data and reporting requirements Translate business needs into clear technical requirements and detailed specifications for data engineering teams Analyze existing data pipelines, Snowflake tables, datasets, and transformation logic to understand how data moves through the organization Use SQL to investigate data, validate requirements, troubleshoot issues, and support testing efforts Define and document business metrics, KPIs, data definitions, mapping specifications, and transformation logic Work closely with data engineers to ensure delivered solutions align with documented business and technical requirements Perform data testing and validation before solutions are released to business users Investigate data quality issues, pipeline interruptions, data refresh failures, and reporting inconsistencies Identify opportunities to improve existing data pipelines, processes, and documentation Support data governance initiatives by maintaining clear documentation and promoting data quality best practices What We’re Looking For 3–5 years of experience in data analytics, analytics engineering, data engineering, business intelligence, or a related technical data role Strong SQL skills with the ability to write complex queries, analyze tables, investigate data issues, and validate data solutions Experience working with Snowflake or similar cloud data warehouses Understanding of ETL/ELT processes, data transformations, and modern data pipelines Exposure to Coalesce.io, dbt, or comparable data transformation frameworks Experience gathering requirements from business stakeholders and translating business needs into technical specifications Hands-on experience with data testing, validation, troubleshooting, and root cause analysis Understanding of data modeling concepts, including fact tables, dimension tables, and star schemas Experience with BI and analytics platforms such as Sigma, Power BI, Tableau, or Looker Experience creating and maintaining technical documentation, data definitions, or data catalogs Strong analytical problem-solving skills Strong communication skills with the ability to work effectively across business and technical teams Why Join Us? Work with a modern data stack that includes Snowflake, Coalesce.io, Sigma, and Power BI Partner directly with business stakeholders and data engineering teams on high-impact initiatives Gain exposure across analytics, data engineering, data quality, and data governance Solve complex data problems and help improve the reliability and usability of data across the organization Take on a highly visible role with meaningful impact on how data is used to drive business decisions If you’re passionate about SQL, data investigation, modern data platforms, and bridging the gap between business needs and technical solutions, we’d love to hear from you. The expected salary range for this position is $90,000 to $110,000 annually . Actual compensation will be determined based on experience, skills, internal equity, and other factors permitted by law. To support our commitment to being an employer of choice, we offer comprehensive and competitive health, wellness, and additional benefits to eligible full‑time team members. Benefit eligibility may vary based on location, average hours worked, and length of service. Benefits may include*: Medical, dental, vision, life, and disability insurance for the associate and eligible dependents Flexible Spending Account (FSA) Health Savings Account (HSA) 401(k) retirement savings program Mental health resources and Employee Assistance Program (EAP) Paid vacation time (accrued based on hours worked and tenure) Paid company holidays Employee discount across our family of brands Potential eligibility for annual merit‑based compensation increases, where applicable *Exact benefit terms, conditions, and eligibility requirements are governed by official plan documents and applicable law. The Company reserves the right to modify, amend, or terminate benefit plans and programs at any time. #J-18808-Ljbffr 1-800-FLOWERS.COM, INC.