Remote BI & Data Engineer - KPI & Analytics Leader

Overstock Inc.; United States; Remote; USD 117,000 - 150,000; Full time

Job summary

Bed Bath & Beyond is seeking a Senior BI Analyst to lead analytics across Finance, Marketing and Product. You will design and optimize BI reporting solutions using MicroStrategy, develop dashboards, and collaborate with data scientists to model and measure outcomes.

You will implement scalable data pipelines, validate data quality, and provide end-user training and documentation. This remote role requires US residence and strong SQL and cloud experience.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Analytics or related field plus 4 years of BI/reporting experience.
• Experience developing reports and dashboards with MicroStrategy in an enterprise environment.
• Strong SQL skills and experience with cloud data platforms (GCP/AWS/Azure).
• Knowledge of data modeling (facts, dimensions, star/schema) to support reporting.
• Ability to translate business needs into scalable BI solutions and governance.

Responsibilities

• Collaborate with data teams and business leaders to translate requirements into BI solutions.
• Develop BI reports and dashboards using MicroStrategy; define metrics and filters.
• Design and optimize data models to support reporting needs and performance.
• Validate data quality and reconcile discrepancies across sources.
• Provide end-user training and documentation; support BI app maintenance.

Skills

BI reporting

Data modeling

Data validation

Requirement analysis

Dashboard development

Education

Bachelor's degree in Computer Science / Information Technology / Information Systems / Data Analytics

Tools

MicroStrategy

SQL

BigQuery

Snowflake

GCP

AWS

Azure

Job description

Bed Bath & Beyond is seeking a Senior BI Analyst to lead analytics across Finance, Marketing and Product. You will design and optimize BI reporting solutions using MicroStrategy, develop dashboards, and collaborate with data scientists to model and measure outcomes.

You will implement scalable data pipelines, validate data quality, and provide end-user training and documentation. This remote role requires US residence and strong SQL and cloud experience.