Marketing & Insight jobs in New York

Latest Jobs

Salary

US$95000 - US$105000 per year

Location

New York

Description

Are you passionate about interactive media & how it can be used by a variety of audiences? If you're hands on working in marketing effectiveness, get in touch.

Salary

US$90000 - US$110000 per annum

Location

New York

Description

We have a content creation and publishing platform who are working on cutting edge technology and entertainment to build out a brand new medium.

Salary

US$150000 - US$170000 per annum

Location

New York

Description

Want to join an organization that's ready to break the glass ceiling? Join a thriving team helping individuals take control of their financial futures.

Salary

US$270000 - US$280000 per annum

Location

New York

Description

A hyper-growth organization in the Health & Wellness space is looking to add an executive leader to its newly formed Analytics division.

Salary

US$280000 - US$300000 per annum

Location

New York

Description

Do you have progressive experience leading multidisciplinary analytics teams at high-growth D2C, internet, and/or eCommerce companies?

Salary

US$165000 - US$185000 per annum

Location

New York

Description

Do you have experience managing multidisciplinary analytics teams at eCommerce companies?

Salary

US$260000 - US$275000 per annum

Location

New York

Description

A top Health, Wellness, and Fitness organization is looking to add a Senior Analytics leader to join their rapidly scaling team!

Salary

US$150000 - US$170000 per annum

Location

New York

Description

Do you have proven experience managing analytics teams at high-growth companies and have strong hands-on proficiencies in Python, R, SQL, and/or Tableau?

Salary

US$150000 - US$165000 per annum

Location

New York

Description

A global Consumer Health Enterprise is in the market for a Senior Advanced Analytics professional to join their rapidly scaling team!

Salary

US$70000 - US$90000 per annum

Location

New York

Description

Looking for a creative work environment? We have one of the world's fastest growing Marketing and Media providers looking to continue expanding their teams!

Salary

Negotiable

Location

New York

Description

Do you have broad expertise in Machine Learning Models & Algorithms? Have you built Media and/or Marketing Mix Models from scratch?

Salary

US$140000 - US$160000 per annum

Location

New York

Description

Do you have progressive Advanced Analytics experience at eCommerce, CPG, and/or retail companies and have strong technical proficiencies in Python?

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.

Living the Hybrid Life with Advanced Analytics

In a recent documentary created by Dave Grohl of the Foo Fighters, he interviews Lars Uhlrich, a once outspoken critic of the demand for online music. In the video produced in 2021, Lars has now embraced the online music world. Yet, in 2019, one-quarter of all music sales were vinyl.  Much as we’d love to deep dive into some music, the point here is that what was once either/or has become both.  Brick-and-mortar business have e-commerce channels, e-commerce channels have brick-and-mortar stores (looking at you Amazon bookstores). Stores are now their own fulfillment centers, items and food can be ordered online and picked up curbside, in-store, or via delivery. In other words, businesses are meeting their consumers where and how they want to shop. Would we have gotten to this point as quickly if not for the pandemic? Maybe. But for many retailers and businesses, there are a few Marketing Insights you’ll want to remember to maintain this new hybrid environment.  Customer Experience Should Remain Top of Mind Imagine this. You visit a store to buy something off the shelf. The store is essentially empty, except for signs which say ‘available to order online.’ If everything is only available online, you’re meeting only one segment of your consumer. While the idea is to create a consumer relationship, you need to know who your customer is, their needs and desires, and meet them when, where, and how they shop.  The customer journey should be interwoven between online shopping and the increasing desire for social interaction. Shopping should still be an experience. Here a few things to consider when planning your hybrid customer journey for your business: How well do you know your customers? Does your customer prefer to shop online, then pick up in store? If they entered the store without shopping online, would you have the product they needed on the shelf or at least, in the back rooms? Why or why not?How do you move the customer from in-store shopping to online and back to in-store shopping?If your customer shops fully online, is their data protected? Privacy is a major concern for many consumers and should be considered at every level of business. Who has access to what and why? And if your consumer is fully remote, or unable to shop in-store, how do you provide and maintain the best customer experience all they way to their door? And with these questions in mind, who’s helping your business build and maintain those relationships? Many businesses have remote call centers to handle customer complaints, but what about the beginning of the journey. Enter AI, chatbots, and Advanced Analytics to move your customer and your business forward for the future. It’s important to build your customer relationship across all your shopping channels – on-line, in person, via AI or chatbot or customer service representative – a unified experience is key. Chatbots and AI Learn from Advanced Analytics and NLP There are only so many humans who can answer call demands. Add in all the online orders, delivery dispatches, and fulfillment options, and it can be overwhelming. Using Advanced Analytics, good Data Management, Artificial Intelligence, and Automation can all augment the ultimate customer journey experience. AI using NLP scraped from past conversations can Data mine language samples to interpret, understand, and respond intelligently to consumer calls. Add text-based support and the benefits increase. If you’re business is more service-based than product-related, AI and chatbots can help there, too. Much like the salesclerk when you enter a brick-and-mortar store, the chatbot is your first engagement with a prospective consumer. And its that chatbot or AI representative who will set the stage for their customer journey and experience. Beyond Retail and Back to Basics Business? For those in the office, or working remotely, some businesses have begun offering hybrid options. Come into the office a few days a week and work from home a few days a week. Yet, others are insisting it’s back to business as usual with some additional measures such as sanitation, plexiglass between cubicles, and physical distancing of employees.  Over the past year, it’s been proven employees don’t need to be in the office. But, it’s also important for humans to interact with each other on some social level and that includes meeting in-person. Physical distancing will be important for some time, but human interaction outside of a computer screen is also. So, while there are pros and cons, for now, the hybrid environment for businesses, schools, retailers, and restaurants is here to stay. How businesses choose to meet this mix will be interesting to watch as they incorporate available technologies while also remembering those they’re trying to serve are human. If you’re interested in Big Data & Analytics, Harnham may have a role for you. Check out our current vacancies or contact one of our expert consultants to learn more.  For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@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. 

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