Note: This position is open exclusively to candidates currently enrolled in the Hiring Our Heroes Fellows Program. Applications from individuals not participating in the program will not be considered.
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Business Intelligence (BI) Analyst is an entry-level position at Chewy focused on developing foundational skills in data analysis, reporting, and business intelligence tools within a fast-paced, collaborative environment. This role is part of the Hiring Our Heroes Fellowship, supporting transitioning service members and military spouses as they build technical competencies and gain hands-on experience turning data into actionable insights that drive business decisions.
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Our Opportunity:
Chewy is seeking a Business Intelligence Analyst I to leverage a wide set of technical and analytical skills to help us advance our data analytics and reporting initiatives for fulfillment network. The expectations of the prospective candidate will be to drive the foundational operations metrics and reporting used by our leadership teams at all levels. In this role, the ideal candidate will support different business groups in the fulfillment operations and supply chain space and build high quality and impactful data products.
Duties of this position include but are not limited to setting up data pipelines, analyzing large data sets, investigating data anomalies, developing intuitive data visualizations, extracting actionable insights, communicating results with stakeholders, developing solutions for complex business problems, and automating manual data processes.
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What You'll Do:
The successful candidate will have a foundational knowledge of 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. Under the leadership of other team members, this role will develop operational metrics and build solid data products using BI tools and other software. The ideal candidate 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.
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What You'll Need:
- A bachelor's degree in engineering, statistics, computer science, business with analytics focus, or related field, or equivalent working experience.
- 0-2 years of related full-time experience in an analyst role working on a business team, preferably in e-commerce or retail industry.
- Basic 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 and visualization.
- Monitor data pipelines for accuracy, missing data, enhancements, and any other
- Reconcile data issues between various systems and find opportunities to drive i
- Solid knowledge of using data visualization tools (preferably Tableau) and working with multiple data sources and several dashboards.
- Participate in quality control and testing initiatives for deliverables produced by the team.
- Foundational understanding of statistical concepts such as correlation, regression, time series forecasting.
- Conceive, develop, and implement analytics solutions to complex business problems
- Experience in defining and documenting requirements for building high quality and impactful data products.
- Passionate about leveraging data to drive innovation within a fast-paced and ambiguous
- Translates data results into dashboards, written reports, tables, graphs and charts to convey information to management in a digestible and visually appealing format
- Creates ad hoc reports and views frequently to help management understand, research, and analyze issues.
- Adheres to team best practices and processes throughout
- Experience with warehouse operations and labor planning is highly valued.
- Any prior experience with R or Python is a big plus.
