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Client Partner, Advanced Analytics

New York
US$120000 - US$180000 per annum
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Client Partner - Advanced Analytics
Consulting
New York, NY
$180,000 - $200,000

Looking for the next leap in your career? As this massive company continues to impact the way analytics are used globally, they are looking for a Client Partner to spearhead key decision making and business in the company.

THE COMPANY

As a Client Partner, you will be joining a global analytics services and solutions company that works with clients all over the world. They pride themselves on their unique and cost-effective approach to creating impactful white box solutions for their clients with a hybrid mix between technology and business analysis.

CLIENT PARTNER - ANALYTICS - ROLE OVERVIEW

As the Client Partner, you will be the main point of contact for all client communication in order to provide them with data-driven solutions. Your success in this role will come from your market knowledge and curiosity about market developments to prioritize opportunities to grow revenue streams with clients. In this role, you will...

  • Lead company's growth efforts throughout the region using your business development skills
  • Manage your local team
  • Create and orchestrate the strategic development plan for increasing awareness of the brand and making client partnerships
  • Act as owner and sponsor of large-scale client projects

YOUR SKILLS AND EXPERIENCE

The successful Client Partner will have the following skills and experience:

  • Degree in Computer Science, Math, or Statistics required
  • Extensive experience with project management and working within digital marketing
  • Experience in analytics, machine learning, information technology, or consulting required
  • Use of technical tools such as Python, Hadoop, SQL, SAS, and Tableau preferred
  • Experience handling accounts with at least $10 million in revenue
  • Great communication and networking skills!

SALARY AND BENEFITS

The successful Client Partner can expect a salary of $180,000 - $200,000 dependent on experience, in addition to a comprehensive benefits package

HOW TO APPLY

Please register your interest by sending your resume to Chinue Ellis via the Apply link on this page.

KEYWORDS

Tableau, SQL, R, Python, Statistics, Power BI, Google Data Studio, Modeling, Regression, Search, SEM, PPC, Location, Google analytics, Mobile, web analytics, Hitwise, Insight, Maxymiser, Sitecatalyst, Omniture, Conversion Optimisation, agency, client, digital analytics, web analyst, digital analyst, digital marketing analyst, eCommerce, senior web analyst, lead web analyst, reporting, analytics, Data Science.

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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: 4th-8th Jan 2021

Happy New Year! 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 and analytics.  TechRepublic: How IT can prepare for the coming hybrid work environment As the world continues to feel the pressures of COVID-19 , remote working is no longer the temporary and novel approach to work that we had envisaged. Vaccines are being approved and healthcare professionals are supporting its rollout across the globe. And, as each dose is administered, we move one step closer to what is likely to become a hybrid working situation. It is therefore pressing for tech leaders to prepare for a shift to this style of work. TechRepublic have explored how these leaders need to ensure that their technology is agile enough to support the needs of the workforce. Yet they also need to look beyond the tech, to redefine how teams work together. Read the full article here. Forbes: 350 CMOs: 3 Marketing Supertrends For 2021 ... And The No-Hype Future Of Marketing Tech We’re a big fan of this piece from John Koetsier, writing for Forbes. He describes how the marketing trends of the year ahead will take a focus on the holistic transformation in a digital-first world. Drawing on the thoughts of a range of Chief Marketing Officers, Koetsier explores that a mixture of new, emerging technologies will see the evolution of marketing to put digital right at the core. Openpath CMO Kieran Hannon, “Now meaningful customer-centric digital transformation can accelerate.” Suzanne Kounkel, Chief Marketing Officer for Deloitte, “Fusion is the new ecosystem. Fusion is the art of bringing together new business partnerships, customer insights, and digital platforms to create ecosystems.” Tristan Dion Chen, CMO of University Credit Union, “It is without a doubt crucial to recognize how COVID-19 has ushered in a strong sense of empathy as a driving force within the marketing industry.” The marketing industry is set to experience continued innovation and growth. Read more on this here. ZDNet: Facial recognition: Now algorithms can see through face masks Last year was a year unlike any other. The complete shift in the way we have had to go about our day-to-day lives, brought about by the ongoing implications of the COVID-19, is still being felt now. One of these changes to our lives is the compulsory requirement to wear a face mask when leaving home. Now, of course, this requirement has brought up some challenges for using our technology, such as banking and payment applications, which need facial recognition to activate it! However, ZDNet have reported that algorithms can now see-through face masks (pretty sweet, right?) The US Department of Homeland Security has carried out trials to test whether facial recognition algorithms could correctly identify masked individuals. This could be a real support for travel, banking and mobile technology in the future. Read more on the trial here.  Towards Data Science: Predicting the outcome of NBA games with Machine Learning The NBA season is back and well underway. Will the Los Angeles Lakers take the top spot again this year? Lots of fans will be making their own predictions as the season begins, but new research has been used to help predict the outcome of NBA games – with the help of the insightful tech that is machine learning. Focusing on five core steps, the team at ‘Towards Data Science’ used Big Data Analytics to help them predict the outcome of games: Scraping Relevant DataCleaning and Processing the DataFeature EngineeringData AnalysisPredictions Through the research, they found that the best published model had a prediction accuracy of 74.1 per cent (for playoff outcomes), with most others achieving an upper bound between 66–72 per cent accuracy. That’s scarily good! Click here to read more on the study and see the statistics in action. We've loved seeing all the news from Data and 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

08. January 2021

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

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