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Manager, Omnichannel Analytics

New York
US$140000 - US$160000 per annum
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Manager, Omnichannel Analytics
eCommerce
Remote | Greater New York Metropolitan Area
$140,000 - $160,000

A leading CPG global enterprise is looking for an experienced Manager, Omnichannel Analytics to lead the successful predictive modeling and omnichannel analytics to meet business growth in the Greater New York Metropolitan area.

THE ROLE:

As Manager, Omnichannel Analytics, you will work closely with the Head of Advanced Analytics in analyzing large amounts of historical data, detecting patterns, and building machine learning models to enhance the enterprise's predictive and prescriptive capabilities. You will be responsible for:

  • Gathering syndicated data, analyzing it, and then building predictive models using Python or R
  • Leveraging AI & ML to forecast omnichannel business for investment & product supply decisions
  • Operating BI omnichannel roadmap to enable senior management & incremental sales
  • Serving as a technical advisor on key global projects to various stakeholders across the business

YOUR SKILLS & EXPERIENCE:

  • Progressive experience in Advanced Analytics, Data Science, Machine Learning, & Artificial Intelligence
  • Proven experience working directly in a major retailer capacity
  • Exceptional project management and stakeholder engagement skills
  • Proven hands-on experience building predictive models in Python, R, or SQL
  • Strong technical skills using ThoughtSpot or similar query-based BI program
  • Strong understanding of omnichannel analytics and machine learning
  • Proven experience working with large amounts of syndicated data (IRI, Nielsen, NPD, etc.)
  • Proven experience building roadmaps, forecasting sales, and performing ROI analysis
  • Strong written/verbal communication and presentation skills across the business
  • Extensive experience working with sales, business intelligence, and shopper research
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field; Master's preferred

BENEFITS:

As Manager, Omnichannel Analytics, you can make up to a $160,000 base (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:

Omnichannel, Data Science, Machine Learning (ML), Artificial Intelligence (AI), Advanced Analytics, Predictive Analytics, Python, R, SQL, ThoughtSpot, Business Analytics, Tableau, PowerBI, IRI, Syndicated Data, Road Mapping, Sales Forecasting, ROI Analysis, Prescriptive Analytics, Predictive Models, Power BI, Cluster Analysis, Churn, Regression

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00046/GL
New York
US$140000 - US$160000 per annum
  1. Permanent
  2. Statistical 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. 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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. 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Daniel Lewis

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