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One of the coolest analytics jobs around!
ALLAN’S COMMENTS: We are working with a major children’s footwear brand in their search for a proven Ecommerce Analyst, Web Analytics based in New York, New York — the town so nice they named it twice. If you are a rising star in the world of marketing analytics, you will dig this high visibility role located near Columbus Circle.
This position is MONDAY-THURSDAY IN-OFFICE and local candidates are strongly preferred. Having said that, the office is in a very hip area, if you’re already based in metro-NYC, you’ll know exactly where this is …
Our client seeks an Ecommerce Analyst, Web Analytics to join its profitable, growing, direct-to-consumer ecommerce footwear division. In this position, you will lead ecom marketing analytics for the firm’s primary $30 million DTC children’s footwear site – plus three other promising DTC sites (totaling over $40 million).
You know the brand. You’ve held their product. You’ve been in their stores.
If you’ve been waiting to market a product that will impress your friends and family at the next holiday gathering, look no further. Everyone will say, “Oh, I love that brand!”.
Anyway.
We have worked with this client three times — once in 2017 (Director of Ecom), and again just recently, topgrading their team post-Covid. All of those searches turned out beautifully.
In this role, you will be instrumental in gathering, organizing, and visualizing sources of data from various analytics platforms. This position will work cross-functionally to provide actionable insights for the Merchandising, Marketing and Planning teams.
You’ll be responsible for developing dashboards and building custom reports, plus analyzing performance, developing testing ideas as well as providing insights and recommendations based on your data analysis.
Ideally …
We want an A-player who has worked in ecommerce for 4-5 years in a highly analytical capacity. We’d like you to understand consumer behavior and know how to test, analyze, and translate your findings to everyone in the organization.
It would be great if you understood all the ways smart analytics can drive value, be it through improvements in the quality or quantity of traffic, or the myriad ways a bounce rate can be reduced, or whatever.
Ultimately, we’d like EVERYONE in the company to have a more analytical bias to the way they make decisions — which means your work will be the basis of conversation throughout the company. Naturally, you must be insatiably curious about the customer and her relationship with the company’s brands, while you look for ways to improve …
- Sessions Converted
- Add to Cart
- Reached Checkout
- Store Sessions
- Returning Customer Rate
- Average Order Value
- Conversion Rate
- Total Orders
- Top Products
- Sales by Traffic Source
- Sales by Marketing
Given your repeated exposure to site data trends by Traffic Source, Location, Device Type, Social Source, and Top Referrers, over time you will have a significant influence on both the types of questions your team members will ask — as well as the range of competitive responses they might take to address them.
You will be the primary “Dietician” for your Team’s information diet. The top of every morning will be spent looking at what happened the previous day. The rest of the day will be spent teasing out why that happened, and more importantly: What can be done with that information, both on the team and throughout the company’s network of third party agencies.
You’ll be like Pete in Moneyball. Your inquiries and analysis will impact every customer touch point, from organic, to paid, email, social, and referral sources of traffic. In addition to brand specific projects and testing scenarios, your job is to get it the root of …
- What are we doing right that we should do more of?
- What are we doing wrong that we should stop doing? (Sometimes, less is more.)
- What is our competitor doing that we should copy?
- What is nobody doing that somebody should do?
To win in this role you must be a proven A-player in Google analytics and be able to lead the firm’s transition to GA-4. Additionally, we would expect you to be highly proficient in Excel to improve the quality and consistency of reporting.
To that end, we’re not interested in someone who sends out reports because “this is how [they’ve] always done it.” We need a hypothesis-driven analytics careerist who relentlessly seeking to improve the customer experience — and therefore the relevance and profitability of the business.
You won’t believe how much we know about this search …
I spent a ton of time on the phone with the client teasing out exactly what you’ll need to KNOW and DO to hit the ground running in this role. Some of the things I can share with highly qualified candidates include …
- The “real” background requirements for this position, along with the top five things all resumes MUST have to be considered for the role.
- The top five problems that exist due to this position being open. These are the little brush fires you will be expected to put out during your first month on the job. Every analytics job has these — and this one’s no different.
- What your average day/week will look like in this role. There’s what you read in the standard analytics job posting … then there’s reality. We’ve got the reality.
- The leading and lagging KPIs that will determine your success in this role. In a nutshell: How you’ll keep score.
- The major projects you’ll need to complete by Day 100 to be considered a home-run in this position. We’ve got the lowdown on how you can plug-and-play and drive REAL value in this analytics job.
I have a massive amount of proprietary intel to share with qualified candidates. My industry research for this assignment exceeds 100 pages! Be sure to TEXT me, Allan Seibert, at (706) 318-1196 for this info. Or simply use the email link when you apply for the role below.
View Allan Seibert’s profile
Responsibilities:
- Lead in gathering and organizing all business reporting ensuring quality of data is accurate and uncovering any data inconsistencies to help troubleshoot root cause
- Forecast ecommerce revenue at annual, monthly, weekly, and daily levels
- Work with cross-functional teams, leadership, and external collaborators/vendors, to identify analytics requirements and produce visualizations and data sets to arm the Marketing, Merchandising, and Planning teams to make informed decisions
- Regularly update KPIs and dashboards demonstrating performance, develop visualizations, dashboards, and reports utilizing Google Analytics, Google Data Studio, Power BI, Shopify, and other analytics platforms
- Design and oversee A/B and Multivariate tests that can lead to specific and measurable recommendations to grow the business
- Help create actionable customer segmentation that can drive incremental engagement through targeted and relevant messaging
- Monitor and report on performance trends; dive deep into the data to proactively identify trends, behaviors, and opportunities to provide actionable insights and identify new opportunities
Qualifications:
- 4+ years of experience in ecommerce/digital analytics or equivalent experience
- Bachelor’s Degree in Marketing, Business, or equivalent work experience
- Experience working with Google Analytics and Shopify+
- Familiarity with other web-based software and technology partners – ESP, CRM, Loyalty Program
- Excellent analytical and quantitative skills; experience using data and metrics to test theories, confirm assumptions, and measure success
- Extensive understanding of ecommerce KPIs related to traffic, engagement/user experience and conversion
- Proven ability to identify, analyze, and solve ambiguous problems with ultimate attention to detail
- Ability to take complex data and visualize it into a business story
- Team player mentality; willing to work in a highly collaborative approach, managing multiple competing priorities and assignments
