Business Intelligence Analyst III

Chewy

Plantation, FL

Full Time

Mid Level

2 months ago

Job Description

About the Role

Chewy seeks a Business Intelligence Analyst III to apply a broad set of technical and analytical skills in enhancing our data analytics and reporting initiatives for Fulfillment Network teams at Chewy in Boston, MA, Minneapolis, MN, Bellevue, WA, or Plantation, FL. The candidate will contribute to foundational operational metrics and reports for leadership teams. They will work with different business units in fulfillment operations and supply chain to produce high-quality data products.

Key Responsibilities

Investigate data deeply and translate findings into impactful narratives to inspire changes in delivery services.
Create operational metrics and craft data products using BI tools.
Collaborate with cross-functional partners to implement analysis methods for insights.
Set up data pipelines, ensure data accuracy, analyze large datasets, investigate data anomalies, and automate data processes.
Share insights with customers and coach colleagues.
Solve complex business problems and lead quality control and testing initiatives for analytics deliverables.
Develop and deliver communication and training plans on data analytics capabilities, standards, and processes.
Lead the evaluation, implementation, and deployment of emerging tools and technologies to boost efficiency.

Requirements

A bachelor’s or equivalent experience in information technology, engineering, statistics, computer science, business with an analytics focus, or a related field.
4+ years of related full-time experience in an analyst role working on a business team, preferably in the e-commerce or retail industry.
Advanced knowledge of SQL and experience with data modeling and performance tuning techniques.
Experience with ETL techniques and BI tools (Tableau, KNIME, Control M, SSIS, Alteryx, etc.) used for data transformation.
Monitor data pipelines for accuracy, missing data, improvements, and changes.
Reconcile data issues between various systems and identify opportunities for improvements.
Solid knowledge of data visualization tools (preferably Tableau) working with multiple data sources and dashboards.
Experience interpreting data and analyzing results using statistical techniques and presenting findings to business partners.
Experience applying statistical techniques such as hypothesis testing, correlation, classification, regression, and time series forecasting.
Current permanent US work authorization.

Nice to Have

Experience with machine learning frameworks in R or Python to drive process improvement.
Experience with Git, Jira, and Confluence to manage source code and track project development.