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Senior Manager, Analytics & Data Science

New York
Negotiable
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Senior Manager, Analytics & Data Science
Internet
New York
$135,000 - $145,000 + Benefits + Bonus

Are you passionate about joining a transformational company that actively helps hundreds of thousands of families annually? A leading tech company is looking for an experienced Senior Manager, Analytics & Data Science to handle the successful customer analysis and A/B testing to meet business growth in New York City.

THE ROLE:

As Senior Manager, Analytics & Data Science, you will be the Advanced Analytics Lead for capturing data, analyzing results, and delivering actionable insights to a variety of key stakeholders. You will be responsible for:

  • Enabling Product and Marketing strategy development through data analytics and actionable recommendations
  • Acting as Key Technical Advisor on analytics across tools such as Python, R, SQL, Google Analytics, and Tableau
  • Proposing, implementing, and analyzing A/B tests to optimize funnel conversion and program performance
  • Owning an end-to-end analysis to identify key drivers of emerging trends and recommending actions to several stakeholders across the business

YOUR SKILLS & EXPERIENCE:

  • You must have progressive commercial web analytics experience in eCommerce
  • Strong technical skills in advanced analytical tools (e.g., Python, R, SQL, & Tableau)
  • Proven proficiency in web analytics platforms (e.g., Google Analytics, Adobe Analytics)
  • Proven experience building up, coaching, and managing analytics teams
  • Deep understanding of digital product/digital marketing & combining disparate datasets
  • Experience managing a diverse set of stakeholders and acting as an internal stakeholder
  • Strong written/verbal communication and presentation skills
  • Bachelor's degree in Mathematics, Statistics, Economics, Business, Marketing, or related field; Master's preferred

BENEFITS:

As Senior Manager, Analytics & Data Science, you can expect to make up to $145,000 base (depending on 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, Google Analytics, Customer Data, SQL, Python, R, Tableau, Data Visualization, A/B Testing, Insights, Adobe Analytics, Data Science, Statistical Modeling, Predictive Modeling, Cluster Analysis, Regression, Decision Trees, Audience Modeling, Propensity Modeling, Google Tag Manager

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25002/GL
New York
Negotiable
  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: 1st - 5th March 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.  Analytics Insight: Top 10 analytics and business intelligence buzzwords in 2021 If you are a fan of both buzzwords and analytics, then look no further, this article from Analytics Insight is for you! The team at the global publication identify and explore the top buzzwords that are being used to define business intelligence and analytics techniques across the industry in 2021. A few of these include: Predictive AnalyticsEmbedded AnalyticsCognitive ComputingData ScienceX Analytics Ultimately, there are a whole host of buzzwords and key terms being used in Data & Analytics at the moment, but professionals should keep up to date with the core (and most influential) technologies and insights in their area of expertise. Find out more about the top 10 buzzwords and view their definitions here. Forbes: Diversity is what you see, Inclusion is what you do Writing for Forbes, Paolo Gaudiano discusses how to really examine the values and culture of an organisation: you need to change the way in which you think about – or approach – understanding the unique contributions of your team. “Being forced to think about recreating an organization from the inside out, i.e., by actually thinking from the point of view of the individual employees and their experiences, helped us to clarify how we can think about—and define—diversity and inclusion.” It is in considering diversity and inclusion in two separate approaches, that an organisation can truly make this a core area of focus. Afterall, Gaudiano highlights that, “Diversity is a measure of how an individual’s personal characteristics differ from those of the normative majority of an organisation; inclusion is the act of ensuring that people’s experiences within an organisation are not impacted negatively as a result of their personal characteristics.” We need to provide more support, education and tools to ensure that our companies can sustain a growing level of diversity, and to enjoy an inclusive environment. Read more on this here. Computer Weekly: It’s now or never for UK fintech, government told The contributors at Computer Weekly have this week reported on how a Treasury-commissioned review of the UK’s future in financial technology (fintech) has told the government that it must urgently introduce effective policies in five key areas if the fintech industry is to continue to thrive. Policy & Regulation To include creating a new regulatory framework for emerging technology.Skills To include retraining and upskilling adults in support of UK fintech.Investment To include introducing a global family of fintech indices.International To include driving international collaboration and delivering an international action plan for fintech.National Connectivity To include accelerating the development and growth of fintech clusters. The review was comprehensive and provides a startling call to action for senior government officials. Read more on the future growth of the UK’s fintech sector here.  AdAge: First-party data strategies for advertisers and publishers in the age of privacy Can brands partnering with publishers discover better Consumer Insights? That’s the question that this insight from AdAge explores, as brands consider shifting their marketing strategies to align with privacy regulations (and maintain or regain consumer trust). Some of the ways brands are responding are by looking at: First-party Data Strategies Marketers need to pinpoint the right customers to target for different messages. One way to do this is by partnering with publishers and other companies that can offer granular consumer insights built from first-party data in a privacy-safe way.Direct Relationships With Publishers By creating ties with publishers, through trusted networks or direct relationships, brands will be operating in a premium environment, thanks to the data and insights the publishers can provide.Creating A New Digital World Marketing’s priorities now need to shift to first-party data strategies and building trusted networks of first-party data owners. This gives brands an opportunity to not only gain more control over their advertising but also to rebuild consumer trust in advertising. To find out more about how brands and marketers are working together in a digital world, take a look at the article in full 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.

Sam Maughan

Sam Maughan

05. March 2021

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

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