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Director, Customer Analytics

New York
Negotiable
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Director, Customer Analytics
Apparel & Fashion | eCommerce
New York, NY
$160,000 - $170,000 + Benefits

Are you passionate about joining a mission-driven, thriving organization that is actively making a positive difference for underrepresented communities across the globe? A leading D2C eCommerce organization is urgently looking for an experienced Director, Customer Analytics to successfully own analytics for digital, marketing, and merchandising to meet business growth in New York City.

THE ROLE:

As Director, Customer Analytics, you will serve as the Advanced Analytics Lead in managing an agile analytics team, and you will own all Product, Marketing, and Merchandising Analytics to optimize the long-term vision for the company's Customer Analytics division. You will be responsible for:

  • Collecting, cleaning & preparing large amounts of customer data using SQL & Google Analytics
  • Performing statistical analysis and building predictive models using Python and/or R
  • Coaching & mentoring junior team members on leveraging tools, methodologies & best practices
  • Delivering actionable, data-driven insights to a variety of key stakeholders across the business

YOUR SKILLS & EXPERIENCE:

  • Progressive experience managing analytics teams at eCommerce, internet, or retail companies
  • Proven commercial experience defining team vision, roadmap, and day-to-day operations
  • Proficient in Advanced Analytics & Statistical Analysis tools including Python, R, and SQL
  • Proficient in building dashboards & reports using data visualization tools like Looker & Tableau
  • Strong knowledge of digital products, eCommerce, and Google Analytics
  • Strong verbal/written communication, negotiation, and presentation skills across the business
  • Proven ability to work cross-functionally & explain technical concepts to non-technical audiences
  • Bachelor's degree in Business, Economics, Mathematics, Statistics, or related field; Master's or Ph.D. preferred

BENEFITS:

As Director, Customer Analytics, you can expect to make up to $170,000 base salary (depending on your experience).

HOW TO APPLY:

Please register your interest by sending your resume to George Little via the apply link on this page.

KEYWORDS:

Advanced Analytics, Data Science, Machine Learning, Customer Analytics, Marketing Analytics, Python, R, SQL, Looker, Tableau, Google Analytics, D2C, eCommerce, Retail, Apparel & Fashion, Merchandising Analytics, Digital Product, Statistical Analysis, Statistical Model, Predictive Model, Predictive Analytics, Web Analytics, NYC

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00057/GL
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Negotiable
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  2. Marketing Analyst

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Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Weekly News Digest: 5th - 9th April 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics.    The Drum: How data visualisation turns marketing metrics into business intelligence Gathering data is just one part of a marketer’s job but having the ability to turn this data into something visually stunning, informative and easy to use is another skill completely.  Marketers, on the whole, are extremely visual learners along with around 65 per cent of the population. Most of us are able to absorb data more effectively if the information being presented to us is done in such a way that is pleasing to the eye. And this is why Data Visualisation exists; it allows us to group, organise and represent data sets in a way that allows us to analyse larger quantities of information, compare findings, spot patterns and extract meaningful insights from raw data. Not only does Data Visualisation allow us to learn more effectively, but we can then turn this understanding into much broader and deeper Business Intelligence.  To read more on the positives of Data Visualisation and how to translate this into meaningful Business Intelligence, click here.  ZDNet: The five Vs of customer data platforms According to ZDNet, Customer Data Platforms (CDPs) are the hottest marketing technology today, offering companies a way to capture, unify, activate, and analyse customer data. Research done in 2020 by Salesforce showed that CDPs were among the highest priority investments for CMOs in 2021. If you’re planning to invest in a CDP this year, what five critical things do you need to think about when developing a successful strategy? ZDNet tells all.  Velocity - Your systems need to manage a high volume of data, coming in at various speeds.Variety - Every system has a slightly different main identifier or "source of truth," and the goal is to have one. This starts with being able to provision a universal information model, or schema, which can organize all of the differently labelled data into a common taxonomy. Veracity - Companies must ensure they can provision a single, persistent profile for every customer or account.Volume - It has been theorized that, in 2020, 1.7MB of data was created every second for every person on Earth. If you want to use those interactions to form the basis of your digital engagement strategy, you have to store them somewhere. Value - Once you have a clean, unified set of scaled data – now’s the time to think about how to derive value from it.  To learn more, read the full article here. Towards Data Science: How to Prepare for Business Case Interview Questions as a Data Scientist When you think of Data Science, the first thing that comes to mind will be technical knowledge of coding languages and fantastic statistical ability; softer skills such as communication and exceptional business knowledge may be overlooked. However, this is where many budding Data Scientists trip up. It is these softer skills and business acumen that sets brilliant candidates apart from others.  But how, when not usually taught at university, do you gather the business knowledge that will set you apart from the competition and showcase it in interview? Towards Data Science shares a few key pointers. Build a foundation – Brush up on your business basics. Research project management methodologies, organisational roles, tools, tech and metrics - all are crucial here. Company specifics – Research your company and its staff. Make sure your knowledge is tailored to the company you’re interviewing for. Products – This is where you’ll stand out above the rest if you get it right. The more you can know the ins and outs of products and metrics at the company, the more prepared you will be to answer business case questions. Read the full article here.  Harnham: Amped up Analytics: Google Analytics 4 Joshua Poore, one of our Senior Managers based in the US West division of Harnham, explores Google’s new and improved data insight capabilities, predominantly across consumer behaviours and preferences.  This exciting new feature of Google was born in the last quarter of 2020 and has now fully come into its infancy, and it’s an exciting time for Data & Analytics specialists across the globe. Joshua explores four key advantages of Google Analytics 4.0. Combined data and reporting - Rather than focusing on one property (web or app) at a time, this platform allows marketers to track a customer’s journey more holistically. A focus on anonymised data - By crafting a unified user journey centred around machine learning to fill in any gaps, marketers and businesses have a way to get the information they need without diving into personal data issues.Predictive metrics - Using Machine Learning to predict future transactions is a game changer for the platform. These predictive metrics for e-commerce sites on Google properties allow for targeted ads to visitors who seem most likely to make a purchase within one week of visiting the site. Machine Learning driven insights - GA4 explains it “has machine learning at its core to automatically surface helpful insights and gives you a complete understanding of your customers across devices and platforms.” Machine Learning-driven insights include details that elude human analysts.  To read Joshua’s full insights on GA4, click here.  We've loved seeing all the news from Data & Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at  info@harnham.com.   

Daniel Lewis

Daniel Lewis

09. April 2021

News

Why You Should Always Be Learning In Data Science: Tips From Kevin Tran

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William Reichert

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