Junior Business Intelligence Analyst- Digital

Steve Madden is looking for a Junior Business Intelligence Analyst to join the Digital Wholesale team — someone early in their career who is already obsessed with data, curious about what the numbers are actually saying, and eager to build something from the ground up. This is not a role where you wait for assignments. You will be pulling reports, spotting trends, asking questions nobody thought to ask, and using AI tools to move faster and think sharper. You will work directly with the Director, Digital Wholesale and sit at the center of the Amazon and digital wholesale business — where the data is messy, the pace is fast, and the opportunity to learn is real. If you love metrics, think in spreadsheets, and get genuinely excited when a dashboard tells a story, this role was built for you.

WHAT YOU'LL DO

Reporting & Data Analysis Build, maintain, and improve weekly reporting across Amazon, Zappos, and digital wholesale accounts — sales, traffic, glance views, conversion, inventory, and ad performance in partnership with the account team. Pull data yourself from multiple sources; do not wait for someone to hand you a clean file — go find it, clean it, and make it usable Identify trends, anomalies, and patterns in the data; flag what is interesting, not just what was asked for Support the build-out of the digital wholesale reporting infrastructure; this is early-stage work and you will have a hand in shaping what gets built Maintain data accuracy and consistency across reports; catch errors before they reach leadership Business Intelligence & Tooling Work in BI tools (Google Data Studio, Looker, Power BI, or comparable) to build and maintain dashboards that give the team a clear, real-time view of the business Write and run SQL queries to pull data directly from source systems; comfort with basic to intermediate SQL is required — you do not need to be a data engineer, but you need to be able to get the data yourself Build and manage complex Excel models; pivot tables, lookups, and dynamic reporting are core to this role — advanced Excel is not optional Explore and recommend AI tools that can accelerate reporting, automate repetitive data tasks, or surface insights faster; bring ideas to the Director and test them Stay current on BI and analytics tooling; if there is a better way to do something, find it and propose it AI & Automation Use AI tools actively in your day-to-day work — to draft analysis, identify patterns, summarize data, and move faster on repetitive tasks Identify reporting or data workflows that could be automated; bring a solution, not just the observation Experiment with new AI capabilities as they emerge; be the person on the team who knows what is possible and pushes the team to use it Help build the case for AI and automation investment by documenting time savings and output improvements from tools you introduce Cross-Functional Support Support the Director and the Marketing Manager with data pulls, ad hoc analysis, and reporting needs; turn requests around quickly and accurately Partner with the Data and Reporting team to understand how Amazon and wholesale data flows into the enterprise BI environment; learn the architecture, not just the outputs Bring analytical support into account management and sales conversations when needed; translate data into clear takeaways that non-analysts can act on Document your work; build reports and models that others can use and update — not black boxes that only you understand DTC BI Team Partnership Serve as the Digital Wholesale team's primary partner to the DTC Business Intelligence team; stay connected to their work, understand their data models, and identify where digital wholesale and DTC data can tell a unified story Participate in cross-functional BI discussions; bring the wholesale and Amazon perspective into conversations about enterprise reporting standards, shared KPIs, and data infrastructure Align on metrics definitions and reporting methodology with the DTC BI team; inconsistent definitions across channels create confusion at the leadership level — be the person who catches and resolves those gaps Share what you are building with the DTC BI team and learn from what they have already built; do not recreate infrastructure that already exists Flag opportunities where a combined DTC and wholesale data view would improve decision-making; bring the idea, sketch the use case, and help make it happen Curiosity & Problem Solving Ask questions before assuming — if a number looks off, dig in; if a trend is unexpected, find out why before reporting it Come to every conversation with a point of view on what the data says; do not just present the numbers, tell the team what they mean Bring solutions, not problems; if you find a gap in the data, a broken report, or a missing metric, propose how to fix it Treat every dataset as a puzzle — the most valuable insights are usually the ones nobody thought to look for

WHAT YOU BRING

Required Bachelor's degree in business, analytics, economics, statistics, information systems, or a related field; recent graduates are encouraged to apply Advanced proficiency in Microsoft Excel; you are comfortable with pivot tables, VLOOKUP/XLOOKUP, INDEX MATCH, dynamic arrays, and building models that other people can use Working knowledge of SQL; you can write basic to intermediate queries to pull and filter data from a database — coursework, personal projects, or internship experience all count Familiarity with at least one BI or data visualization tool (Google Data Studio, Looker, Power BI, Tableau, or comparable); you have built a dashboard or a report that someone else relied on Genuine curiosity about data; you do not just answer the question asked — you look around it, behind it, and ahead of it Entrepreneurial mindset and bias for action; you take initiative, find a way forward, and do not wait to be told what to do next Strong problem-solving instincts; you break down ambiguous questions, work through them systematically, and come back with a clear answer Active AI enthusiast; you already use AI tools in your work or studies and are excited about what they can do for analytics and reporting Located in or able to commute to the New York Metro area; on-site presence required Preferred Internship or project experience in e-commerce, retail, wholesale, or a data-heavy business environment Exposure to Amazon Vendor Central, Seller Central, or retail media reporting; familiarity with metrics like glance views, TACOS, or unit session percentage is a plus Experience with Python or R for data manipulation; not required, but a sign you are serious about analytics Comfort working in fast-moving, ambiguous environments where the process is still being built

WHY THIS ROLE

This is a rare opportunity for someone early in their career to get real ownership, real data, and real exposure — fast. You will not be making decks about someone else's analysis. You will be doing the analysis, building the reports, and sitting close enough to the business to see how the numbers connect to decisions. Steve Madden is one of the most recognized names in footwear, and the digital wholesale channel is where the growth is happening. If you are the kind of person who opens a spreadsheet and feels a pull to understand what it is telling you, come build something with us. The expected base salary for this position ranges from $70,000-$85,000. Ranges are based on various factors such as relevant skillset, training, years of experience related to the current job description, education, and our organizational structure. In addition to the base salary, Steve Madden offers a competitive benefits package that includes health and dental insurance, life insurance, disability insurance, 401K, paid holidays, a generous paid time-off policy, and career opportunities within a dynamic team. #J-18808-Ljbffr Steve Madden