Senior Marketing Analyst

New York
US$90000 - US$100000 per annum

Senior Marketing Analyst
New Media & Internet
New York, NY
$90,000 - $100,000 + Benefits

A leading Media & AdTech company is looking for an experienced Senior Marketing Analyst to successfully analyze data from a variety of sources and deliver data-driven insights on marketing trends and user behavior to meet business growth in New York City.

THE ROLE:

As Senior Marketing Analyst, you will partner with cross-functional teams and lead the analysis of first/third-party data to optimize campaign performance, and better understand consumer behavior. You will be responsible for:

  • Collecting, cleaning & preparing data from 1st & 3rd party sources using SQL & Google Analytics
  • Performing A/B testing for optimizing user funnels and behaviors
  • Building dashboards using Tableau & delivering data-driven insights to various key stakeholders

YOUR SKILLS & EXPERIENCE:

  • Progressive hands-on analytics experience working for media and/or eCommerce companies
  • Proficient in collecting & preparing large amounts of data using SQL and Google Analytics
  • Familiarity with statistical modeling & analysis tools such as Python and/or R
  • Proficient in visualizing data using Tableau, Looker, and/or Power BI
  • Proven commercial experience in A/B testing and customer/user behavior analysis
  • Proven ability to work with cross-functional teams and stakeholders on key projects
  • Strong verbal/written communication, negotiation, and presentation skills across the business
  • Bachelor's degree in Business, Economics, Finance, Marketing, Mathematics, Psychology, Statistics, or related field; Master's preferred

BENEFITS:

As Senior Marketing Analyst, you can make up to $100,000 base salary (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:

Advanced Analytics, Digital Analytics, Marketing Analytics, Media Analytics, Marketing & Advertising, Media, Google Analytics, SQL, Tableau, Google Tag Manager (GTM), 1st Party Data, 3rd Party Data, Looker, Power BI, Python, R, A/B Testing, Consumer Behavior, Data Visualization, SQL Query, NYC, Insight, eCommerce, Data Science, Internet

Send similar jobs by email
00079/GL
New York
US$90000 - US$100000 per annum
  1. Permanent
  2. Marketing Analyst

Similar Jobs

Salary

£30000 - £40000 per annum + bonus

Location

London

Description

DATA ANALYST LONDON UP TO £40,000 One of Europe's leading sporting retailers looking for Data Analyst to join their team, to develop data driven solutions.

Salary

£45000 - £55000 per annum

Location

London

Description

An exciting role working for a leading telecommunications company. They operate across an international scale and have a huge customer base

Salary

£60000 - £70000 per annum

Location

London

Description

This company is one of the UK's leading tech start-ups, operating on a website and an app basis.

Salary

£40000 - £50000 per annum

Location

London

Description

JUNIOR DATA SCIENTIST LONDON UP TO £50,000 Rapidly growing gaming studio is looking to expand its data science team.

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: 3rd - 7th May 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.      Personnel Today: Top 50 firms for gender equality named This week it was great to see that leading recruitment publication, Personnel Today, reported on the organisations that have continued efforts to improve gender equality over the past year. These names were also featured on The Times Top 50 Employers for Women. Household names including PepsiCo UK & Ireland and Royal Mail; public sector bodies including the Department for Work and Pensions and the Department for Transport; law firms including Allen and Overy and Pinsent Masons; and financial and insurance institutions including Santander and Aviva all take a spot on the 2021 list. The pandemic has, without doubt, placed greater emphasis on how much progress still needs to be made to achieve gender equality. However, it’s great to see awareness, recognition and celebration of organisations that are contributing to the narrative of success for women in business. See more on this here. Retail Insight Network: What online retailers can expect as high street footfall increases “The fact that e-commerce and social media are intrinsically entwined has allowed brands to engage directly with customers through virtual means.” These are the expert thoughts of Oracle NetSuite retail industry principal Zak Rafiq, talking to Retail Insight Network about what retailers can expect amid increasing footfall and why a direct-to-consumer strategy may be imperative in the current retail landscape. A successful direct-to-consumer strategy can put online retailers in control and offers a good opportunity to drive revenue without the costly overhead associated with physical retail. By operating in an online space, retailers can build a strong understanding of their consumer profile, in turn crafting a strategy for how to engage them (particularly post-pandemic) and generating an impactful and long-lasting customer experience. To read more on this topic, click here. KDNuggets: Best Podcasts for Machine Learning Podcasts are continuing to surge in popularity. In particular from a business perspective, those that feature interviews with industry experts can prove to be a vital tool for professionals to learn about subfields, and the latest innovations in their area of expertise – and beyond! This great summary article from KDNuggets outlines the best podcasts to help data professionals, who are either keen to learn or already seasoned practitioners, get a better understanding of machine learning. A few mentioned on the list include: Gradient DissentDeepMind: The PodcastLex Fridman PodcastChai Time Data ScienceMachine Learning Street Talks To read the full article and add these to your subscriptions, read more here.  TechRepublic: Microsoft is boosting its support for the Python programming ecosystem We love this article from TechRepublic, sharing the positive news from Microsoft this week, as the organisation is set to increase its support for the Python community. This means that the programming language will be pushed forward in emerging fields like data science. A pretty big step for the industry. What does this mean? Well, the tech giant has pledged $150,000 in financial sponsorship to the Python Software Foundation, the non-profit organization that holds the rights to the language – the creator of Python, Guido van Rossum, even came out of retirement last year to work with Microsoft on their plans to support the community of Python programmers. It will certainly be worth keeping an eye on where this goes next. We’ll definitely be paying close attention! To read more about this, click 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.    

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. 

Recently Viewed jobs