Associate Director, Digital Analytics

New York
US$120000 - US$135000 per year

Associate Director, Digital Analytics

New York City

$120,000 - $135,000

Are you a natural born leader in Digital Analytics, with a track record in making business critical impacts on enterprise level brands? Are you passionate about telling stories through data and designing best in class media measurement and advanced analytics strategies?

This is an opportunity to join one of most data-driven, tech-focused agencies out there. You will spearhead a team that's dedicated solely on digital analytics and attribution for the agencies biggest account. You will lead Advanced Media Analytics with exposure across all channels (paid social, Display, SEM, SEO, programmatic), taking ownership of high level projects and working hands on with ad serving tools (DFA, DCM), attribution platforms (Visual IQ) and web analytics tools (Google Analytics, Adobe Analytics).

The Role

Ever imagined yourself in a highly strategic position with a full suite of platforms from attribution tools to a DMP at your disposal? As Associate Director, Digital Analytics, you will be passionate about telling stories through data driven insight and working hands on with a variety of web analytics tools (such as Google Analytics/Adobe Analytics). The focus will be delivering data-driven, media performance insights to clients, leveraging advanced analytics methadologies (SQL, R and Python)! You will be an exceptional client and team leader, with the ability to inspire and motivate.

In particular, you can expect to:

  • Act as the go-to for clients, understanding their needs, deep-diving into the data to make strategic recommendations and provide insight on performance media strategies (paid search, paid social, programmatic)
  • Organize data trends and look at ways to unlock new data sources
  • Lead a team of Digital Analysts and Digital Analytics Managers
  • Take ownership of the DMP, taking lead in building audience segments and customer profiles
  • Perform A/B testing and multivariate testing
  • Pioneering attribution strategies

Your Skills and Experience

  • Working experience in a digital analytics leadership position
  • Working experience in analyzing data from digital platforms (Google Analytics, Adobe Analytics, DMPs, attribution tools, DCM)
  • Working commercial experience with tools such as Google Analytics or Omniture
  • Strong client management and strategy delivery skills
  • Advanced Microsoft Excel Skills
  • Deep knowledge of cross-channel digital marketing campaigns
  • Ability to pitch findings and ideas to clients
  • Working exposure to SQL R or Python

SALARY AND BENEFITS

The successful candidate will secure a salary of $120,000 - $135,000 and benefits depending on experience

HOW TO APPLY

Please click 'Apply Now' above.

KEYWORDS

Google Analytics, Adobe Analytics, SQL, Python, Excel, MS Excel, Insight, insights, shopper, customer, analytics, technology, campaign, Tableau, CRM, database, acquisition, retention, marketing, digital, SEM, SEO, paid search, display, dashboard, Omniture, site catalyst, web analytics, CoreMetrics, webtrends, website, Google Tag Manager, Tag Manager, Dynamic Tag Manager, HTML, CSS, Java Script, Flash, JQuery

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LH63829
New York
US$120000 - US$135000 per year
  1. Permanent
  2. Media Analyst & Adtech

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

‘Tis The Season Of Data: Black Friday Is Here

‘Tis The Season Of Data: Black Friday Is Here

It’s that time of year again. Decorations are going up, the temperature is dropping daily, and the year’s biggest shopping weekend is upon us.  Black Friday and Cyber Monday may have started stateside, but they’re now a global phenomenon. This year, in the UK alone, shoppers are expended to spend £8.57 billion over the four-day weekend. But, for retailers, this mega-event means more than a cash injection. In the world of Data, insights gained from shopping and spending habits during this period can dictate their product and pricing strategies for the next twelve months.  So what is it, exactly, that we can stand to learn from the Black Friday weekend? THE GHOST OF BLACK FRIDAY PAST There are a few interesting takeaways from 2018’s Black Friday weekend that will likely impact what we see this year.  Firstly, and perhaps unsurprisingly given that it’s a few years since the event has become omnipresent, spending only increased about half as much as initially predicted. There are a number of reasons for this, but cynicism plays a central role. More and more, consumers are viewing Black Friday deals with an element of suspicion and questioning whether the discounts are as good as they’re promoted to be. This, combined with other major annual retail events, such as Amazon’s Prime Day, means that this weekend no longer has the clout it once did.  However, 2018 also saw marketers doing more to stand out against the competition. Many businesses have moved away from traditional in-your-face sales messaging and some are even limiting their Black Friday deals to subscribers and members. By taking this approach, their sales stand out from the mass market and can help maintain a level of exclusivity that could be jeopardised by excessive discounts. In addition to branding, marketers making the most of retargeting saw an even greater uplift in sale. Particularly when it came to the use of apps, those in the UK using retargeting saw a 50% larger revenue uplift than those who didn’t.  So, having reviewed last year’s Data; what should businesses be doing this year in order to stand out? GETTING BLACK FRIDAY-READY WITH DATA Businesses preparing for Black Friday need to take into account a number of considerations involving both Marketing and Pricing. For the latter, Data and Predictive Analytics play a huge role in determining what items should go on sale, and what their price should be.  Far from just being based on gut instinct or word-of-mouth, algorithms derived from Advanced Analytics inform Machine Learning models that determine what should be on sale, and for how much. These take into account not only how many of each discounted product need to be sold to produce the right ROI, but also what prices and sales should be for the rest of the year in order to make the sale financially viable.  In terms of Marketing, Deep Learning techniques can be used to accurately predict Customer Behaviour and purchases. These predictions can then reveal which customers are likely to spend the most over the weekend, and which are likely to make minimal purchases. Marketers can then, in the lead up to Black Friday, target relevant messaging to each audience whether it be “get all you Christmas shopping in our sale” or “treat yourself to a one-off item”. By carefully analysing the Data they have available and reviewing the successes and failures of their Black Friday events, businesses can generate greater customer loyalty and improve their sales year-round. If you’re looking to build out your Marketing Analytics team or take the next step in your career, we can help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

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