Fulfilment Analyst II
Our Opportunity
Chewy is seeking a bright and curious Data Analyst to leverage a wide set of technical and analytical skills to help us advance our data analytics and reporting initiatives for the entire fulfillment network. You will have the opportunity to drive the foundational operations metrics and reporting used by our leadership teams at all levels. In this role, you will be supporting different business groups in fulfillment operations and supply chain by building high quality and impactful data products. Duties of this position include but are not limited to setting up data pipelines, ensuring data integrity across the systems, analyzing large data sets, investigating data anomalies, developing intuitive data visualizations, extracting actionable insights, communicating results with stakeholders, training and mentoring other team members, developing solutions for complex business problems, and automating manual data processes.
What You'll Do:
The successful candidate will have strong knowledge on working with SQL and BI tools. Day-to-day responsibilities will focus around performing deep-dive investigations into data questions and weaving those findings into an effective story to drive changes within the fulfillment network. This role will be primarily responsible for developing operational metrics and building solid data products using BI tools and other software. You will also be responsible for taking analytic findings and working with stakeholders to implement the methods used in the analysis to drive analytic insight around the findings. This role is high visibility and high impact. Good communication and collaboration are essential.
- A bachelor's or master’s degree in information technology, engineering, statistics, computer science, business with analytics focus, or related field
- At least 4 years of related full-time experience in an analyst role working on a business team, preferably in e-commerce or retail industry
- Advanced knowledge of SQL and prior experience with data modelling and performance tuning techniques are a must-have
- 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, enhancements, and any other changes
- Reconcile data issues between various systems and find opportunities drive improvements
- Solid knowledge on using data visualization tools (preferably Tableau) working with multiple data sources and several dashboards
- Lead quality control and testing initiatives for deliverables produced by Analytics team
- Demonstrable success in interpreting data and analyzing results using statistical techniques and presenting findings to business partners across the organization
- Experience applying statistical techniques such as hypothesis testing, correlation, classification, regression, and time series forecasting
- Experience using machine learning frameworks in R or Python to drive process improvement is a big plus
- Conceive, develop, and implement analytics solutions to complex business problems
- Work with cross-functional stakeholders in defining and documenting requirements for building high quality and impactful data products
- Experience with Git, Jira, and Confluence to manage source code and track project development
- 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 improve productivity
- Passionate about leveraging data to drive innovation within a fast-paced and ambiguous environment
Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.
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