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Campaign Analytics Manager
New York City
$110,000-$120,000 + bonus + benefits!
Do you have campaign analytics experience, specifically within automated messaging? In this role, you will be leading your division in generating and implementing marketing insight on how to best gauge, understand and move customer behavior based on sentiment and behavior driven data. Based on deep analysis on customer engagement, you will find what attributes are linked to value and how to better target key demographics, while using tools like SQL, Python and/or R as well as CRM tools like Unica, Eloqua and Marketo- among others.
This well-established media company based out of NYC is looking to continue to tie in innovative data driven methodologies to best target new audiences, and send out automated messages based on trigger behaviors. My client values results and is analytical in its nature-you will be using your influence to drive marketing strategy every day.
As a campaign manager, you will be leading your team in a proactive approach into tracking business trends and creating new features to improve customer journey and experience. You will be:
YOUR SKILLS AND EXPERIENCE:
HOW TO APPLY:
Please register your interest by sending your CV to Sasha Baez via the Apply link on this page.
Media, campaign analysis, campaign manager, marketing, campaign, trigger, automated messaging, sentiment, behavior driven, SQL, R, Python, Unica, Marketo, Eloqua, Siebel, strategy, marketing strategy, customer behavior, insights, optimization, campaign performance, channel strategy, marketing automation, retention, A/B testing, optimization, stakeholders, consumer perspective
US$140000 - US$160000 per year
I'm looking for team and stakeholder leaders in the Greater Boston area to join a marketing & Advertising Agency as a Director of Analytics.
US$480 - US$640 per day
San Francisco, California
If you are looking to join this leading retail company's market research team this is the role for you!
US$90000 - US$100000 per year
Calling all experienced predictive modelling analysts who are passionate about sports! I have an exciting opportunity for you!
Up to US$120000 per year
Los Angeles, California
A marketing intelligence company is seeking a Director of Analytics to work directly with clients presenting analytical insights to drive marketing strategies.
US$145000 - US$155000 per year
Do you have a passion for customer behaviors and analytics? If you're technically strong and have a background in Pricing & Promotion analytics, get in touch!
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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If you’ve applied for a credit card or loan recently, you’ll be aware of the swift response you now receive. No human can crunch the numbers and make the determination that fast, right? Although big banks are now adopting Big Data, Machine Learning, and AI into their legacy processes, startups have been disrupting the sector for a few years now. As banks and credit unions scramble to keep up, Fintech innovation is bringing together machine language, analytics, and AI to help form Big Data decisions in the industry. The forward-thinking potential of these technologies has led to some real-world uses to combat fraud, offer access to alternative data sources, and suggest real-time analysis for risk. So, Robots are Determining My Credit Risk? Well, yes and no. Often, those in the financial sector are using AI to assess Credit Risk. What once required Risk Analysts to determine manually, is now done in a matter of seconds with an early warning system developed by ING, PwC, and Google. This AI-powered system helps analysts make faster and more informed decisions about potential risk. How do they do this? Using pre-set criteria, they can gauge and analyze risk based on parameters such as whether or not a client has negative media coverage or if a share price falls below a certain percentage. If the world today is based on perception, even such items as bad reviews, negative coverage, and lower than average share prices can affect determinates. In addition, having these parameters can also help determine best practices and how businesses and individuals can be given opportunities outside the scope of big bank processes. However, as data breaches continue to mar profiles of both individuals and business, Machine Learning components offer platforms the chance to stem the tide of negativity. How Machine Learning Helps Prevent Fraud This is a simple process which requires two key measures. The first is to feed the machine not just a large amount of data, but knowing the parameters set, so the machine is fed relevant information. The second is human input which gives the machine its parameters to operate by. From there, the software will take the information, gain an understanding of the data patterns, and identify any signs of fraud. If done well, the automation process will employ solutions without sacrificing quality. Machine Learning in Determining Scorecard Models Alternative data sources offer more options not only to banks and credit unions, but also to borrowers. Using Machine Learning creates a more flexible, robust model when it comes to the type of information most useful to various borrower profiles. Having profiles prepared allows for automated scorecard updates and can generate better responsiveness and intelligence of a borrower’s risk profile. This process can be empowering for both startup and big bank tech. The Matured State of Analytics Though humans must initially input parameters, the benefits of Machine Learning using a decision engine can dig deeper and reach farther than ever before. This type of platform can gather a variety of scenarios across the industry and can constantly analyze the information, helping inform the processes of setting credit limits, loan origination, and risk-based pricing. As an extension of a modern analytics platform, these processes fill in the gaps where other platforms may lack the data or programming required to run effectively. But, as these platforms mature, they are helping to drive innovation throughout the Fintech industry and shaking up the outdated, cumbersome processes of old for a much more streamlined efficient operation. Want to inform decisioning and work with data engineers to build validation frameworks? Are you looking to get in on the ground floor of a startup opportunity in the Fintech industry? If so, we may have a role for you. If you’d like to learn more, check out our current vacancies or contact one of our expert consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com.
21. March 2019
What is it that makes California a mecca for the adventurous of spirit? Is it the land which sparkles gold from the goldrush years or the shiny newness of the latest in tech? From boom to bust and the promise in the dash of its life, it holds possibility in action. Or is it because, as other cities, states, and countries rally and evolve their own tech hubs, California has already settled in as the standard? The Golden State is the home of Data & Analytics. Want to see how high you can go or how to pull yourself up from a failed attempt at success? Look to the place it all began and learn how to make your insights actionable and your business decisions better. How? Begin with a platform. A Data Management Platform. You’ve Laid the Foundation, Now What? Rather than nuggets, blocks, or bars, Data gathering is cumulative. In this case, its divide, segment, and step back for the big picture; a Data Management Platform (DMP) is a unifying platform. In other words, raw Data is collated and changed into usable form. This is the core of Data-driven marketing. It is what helps businesses learn about their customers and helps to set the stage for the actionable insights that lead to happy customers. The abundance of Data can be staggering. How much of what information do you need to better manage your audience information? What do you need to know beyond the basics? How far should you drill down to shape and activate the Data you’ve been gathering and analyzing? Having the right Data reach the right customer at the right time can greatly improve a company’s bottom line. In layman’s terms, with a DMP as part of your marketing strategy, you’ll get the most bang for your buck. Making Connections Omni and multi-channel sources such as online, offline, and mobile are woven into the connections of DMPs. Unstructured Data collection is a neutral way to help marketers use their audience Data in whatever manner is best for their business. Sources come from first – and third – party sources including mobile, desktop, web analytics tools, Customer Resource Management (CRM) software, point of sale, social media, as well as the basics such as demographic and historical behavioral Data. Getting Started Organization – Determine how you want to define your Data so you can understand it when considering a DMP. How will you segment the information you’ve decided to collect?Segmenting and audience building – Once you’ve decided what information you want to gather, you can use the information to build your target audience. Imagine pinpointing a location on a map, then plotting a route to get there. Insights and audience profile reports – Here’s your chance to study the information and analyze patterns, trends, and intent. Let’s find out what exactly it is your customers want, so you can give it to them.Activation – Now, take what you’ve learned and run with it. This is the implementation phase whether it’s through advertising, messaging, even up your game and add-in the Data management platform information into your Content Management System (CMS). The possibilities are endless. Focus, Focus, Focus Here is where you’ll bring everything into focus and see just how far the possibilities can take you and your business. Below are a few ideas and things to consider: Set your audience and advertising targets – Determine the parameters for your audience’s interests and needs through the channels they most often use such as content whether audio or video.Get personal - Offer personalized experiences for web and mobile users as well as those who prefer to conduct their business offline.Game, Set, Match – When it comes to TV DMP, match your audiences on both TV devices as well as digital.Learn – Learn about your customer. Take time to get to know them online and offline through every channel available. Go deeper than point of sale information. What is it they’re looking for? What do they want? Why do they want it and how do they want to buy it? Grow – Whilst it takes a lot more time and effort to find new customers than to keep current customers happy it’s still important to use that time and effort to your advantage utilizing DMP to grow and cultivate a new audience, too. Build brand loyalty through both returning and new customers. Paid search and social – use your Data-driven audiences to target or update paid search including buys on social media. Ultimately, building a DMP will help you build a better relationship with your customers. It helps you show you have their desires at heart; and a happy customer is worth their weight in gold. Check out our current vacancies for our latest opportunities or contact one of our recruitment consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com.
13. March 2019