Senior Digital Analyst

New York
US$80000 - US$100000 per annum

Senior Digital Analyst

New York City

$90,000 - $100,000

Do you want to see your digital analytics and data driven insights truly influence the growth of a mission-driven organisation that helps millions of people? Do you want to be looked to by the marketing and digital product teams to drive innovation? If this is sounding like you, and you're an ambitious digital analyst with Google Analytics/Adobe Analytics (Adobe Omniture) and SQL skills experience, read on!

The Company

A mission-driven, fast growing business who have helped millions of people across the U.S.


The Role

As Senior Digital Analyst, you will take ownership of all omnichannel and web analytics as the go-to data evangelist. You will implement best practice and steer the analytics function; your insights will be crucial not only to the sites and marketing campaigns, but also the overall business strategy. This is an exciting time to get on board, as the business is investing in new tech, you'll have the opportunity to be involved in digital product development and content insights, bringing innovative ideas to the table whilst working hands on with data.


In particular, you can expect to:

  • Analyze data sets from websites, digital content and campaigns to deliver actionable insight, leveraging Google Analytics/Adobe Analytics (Adobe Omniture)
  • Leverage SQL for deep dive analysis
  • Recommend site improvements and shape product development
  • Build reports to deliver insights directly to stakeholders
  • Look at data trends to implement optimization best practice
  • Provide in depth analytics and performance reports on strategies and campaigns to stakeholders
  • Perform A/B testing and multivariate testing
  • Use tag management software and implement analytics platforms

Your Skills and Experience

  • Hands-on experience in technical web analytics
  • Working commercial experience with tools such as Google Analytics or Omniture
  • Working experience in SQL
  • Working experience in Power BI/Tableau tool
  • Advanced Microsoft Excel Skills
  • Working commercial experience using tag management software
  • Deep knowledge of cross-channel digital marketing campaigns
  • Dashboard development experience
  • Ability to define business metrics

SALARY AND BENEFITS

The successful candidate will secure a salary of $90,000 - $100,000 and benefits depending on experience

HOW TO APPLY

Please click 'Apply Now' above or you can email me at

KEYWORDS

Google Analytics, Power BI, 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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LH2820
New York
US$80000 - US$100000 per annum
  1. Permanent
  2. Digital Marketing Analyst

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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.

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

Last month we sat down with Kevin Tran, a Senior Data Scientist at Stanford University, to chat about Data Science trends, improvements in the industry, and his top tips for success in the market.  As one of LinkedIn’s Top Voices of 2019 within Data & Analytics. his thoughts on the industry regularly garner hundreds of responses, with debates and discussions bubbling up in the comments from colleagues eager to offer their input.  This online reputation has allowed him to make a name for himself, building out his own little corner of the internet with his expertise. But for Tran, it’s never been about popularity. “It’s not about the numbers,” he says without hesitation. “I don’t care about posting things just to see the number of likes go up.” His goal is always connection, to speak with others and learn from them while teaching from his own background. He’s got plenty of stories from his own experiences. For him, sharing is a powerful way to lead others down a path he himself is still discovering.  When asked about the most important lesson he’s learned in the industry, he says it all boils down to staying open to new ideas.  “You have to continue to learn, and you have to learn how to learn. If you stop learning, you’ll become obsolete pretty soon, particularly in Data Science. These technologies are evolving every day. Syntax changes, model frameworks change, and you have to constantly keep yourself updated.”  He believes that one of the best ways to do that is through open discussion. His process is to share in order to help others. When he has a realisation, he wants to set it in front of others to pass along what he’s learned; he wants to see how others react to the same problem, if they agree or see a different angle. It’s vital to consider what you needed to know at that stage. Additionally, this exchange of ideas allows Tran to learn from how others tackle the same problems, as well as get a glimpse into other challenges he may have not yet encountered.  “When I mentor people, I’m still learning, myself,” Tran confesses. “There’s so much out there to learn, you can’t know it all. Data Science is so broad." At the end of the day, it all comes down to helping each other and bringing humanity back to the forefront. In fact, this was his biggest advice for both how to improve the industry and how to succeed in it. It’s a point he comes back to with some regularity in his writing. “It doesn’t matter how smart you are, stay humble and respect everyone,” one post reads. “Everyone can teach you something you don’t know.” Treating people well, understanding their needs, and consciously working to see them as people instead of numbers or titles—this, Tran argues, is how you succeed in the business. To learn and grow, you must work with people, especially people with different skills and mindsets. Navigating your career is not all technical, even in the world of Data. “The thing that cannot be automated is having a heart,” he tells me sagely. Beyond this, Tran stresses the need for a solid foundation. The one thing you can’t afford to do is take shortcuts. You have to learn the practicalities and how to apply them, but to be strong in theory as well.  Understanding what is happening underneath the code will keep you moving forward. He compares knowing the tools to learning math with a calculator. “If you take the calculator away, you still need to be able to do the work. You need the underlying skills too, so that when you’re in a situation without the calculator, you can still provide solutions.” By constantly striving to collaborate and improve, Tran believes the Data industry has the best chance of innovating successfully.  If you’re looking for a new challenge in an innovative and collaborative environment, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

Coronavirus Update: What to expect from Harnham

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