Senior Business Analyst, Analytics

Beyond•Salt Lake, UT

14h•Onsite

About The Position

We Go Beyond: At Bed Bath & Beyond, we believe that everyone should “Be You!”. Bed Bath & Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality, traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more inclusive environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.

Requirements

2+ years of relevant analytics, business intelligence, merchandising, or retail experience.
Strong SQL skills and demonstrated experience querying and analyzing large datasets.
Experience working with relational databases or cloud data warehouses.
Strong analytical problem-solving skills and intellectual curiosity.
Ability to recognize trends, correlations, anomalies, and data quality issues.
Strong Microsoft Excel skills.
Ability to translate business questions into analytical approaches and actionable recommendations.
Ability to communicate analytical findings clearly to business stakeholders.
Bachelor's degree in Business, Economics, Finance, Information Systems, Mathematics, Statistics, Supply Chain, or another quantitative/analytical field, or equivalent experience.

Nice To Haves

Retail or e-commerce experience.
Experience supporting Merchandising or Merchandise Planning organizations.
Understanding of retail concepts such as sales, margin, inventory, sell-through, assortment, pricing, promotions, and product/category performance.
Experience with merchandise planning, demand planning, forecasting, or inventory analytics.
Experience analyzing pricing or promotional performance.
Experience working with product hierarchies and SKU-level data.
Experience with BigQuery, MicroStrategy, or Python.
Advanced degree in Analytics, Statistics, Mathematics, Information Systems, Business, or a related field.

Responsibilities

Use advanced SQL to extract, manipulate, validate, and analyze large and complex retail datasets.
Analyze sales, demand, inventory, product, category, pricing, and promotional performance.
Provide ad hoc strategic and tactical analysis to Merchandising and Planning teams.
Identify trends and opportunities across categories, brands, products, and customer segments.
Support merchandise planning, forecasting, assortment, and performance measurement.
Analyze the effectiveness of pricing and promotional strategies.
Develop and maintain merchandising KPIs, dashboards, and recurring reporting.
Support business cases for merchandising initiatives and strategic decisions.
Partner with Merchandising, Planning, Finance, Analytics, Data Engineering, and Technology teams to translate business questions into analytical solutions.
Understand data pipelines and transformations sufficiently to identify data quality issues and analytical caveats.
Investigate discrepancies across sales, inventory, product, and financial reporting.
Clearly communicate analytical findings and recommendations to both technical and non-technical audiences.