Director Customer Analytics

Tampa, Florida
US$140000 - US$155000 per year

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Director Customer Analytics
Luxury Travel
Tampa, Florida
$145,000 - $155,000 + benefits

Are you a seasoned leader of multidisciplinary advanced analytics teams, with proven capabilities in growing and evolving the function to work in an agile and ever-changing environment? If you answered yes, and are business savvy, understanding how a centralized analytics function can add significant value across a wider organization, then this could be the senior role you have been looking for.

THE COMPANY:

One of the largest travel companies across the globe, with over $1bn in yearly revenue are looking for a seasoned customer analytics leader to join their team and show them what is possible with their vast data across 15 different product suite offerings. They are an agile, fast-paced and collaborative business who are looking to scale their analytics capabilities across multiple functions, with a fully invested C-Suite who believe data should be the core of all decisions made.

THE ROLE - Director Customer Analytics

As the Director Customer Analytics you will lead a multidisciplinary team including Data Scientists, Advanced Analysts and Business Intelligence Analysts, who use cutting edge analytics predictive modelling techniques to enhance products, services and offerings to a luxury customer base. Your role will be to leverage customer-rich data coming from a variety of channels to deliver strategic decisions that help them company solve very complex business problems and continue their growth trajectory. This is a highly visible role reporting directly into C-Level. You will

  • Set the strategic vision for the centralized customer analytics and data science function, prioritizing projects and setting the standards on what KPI's need to be measured within the products to understand customer acquisition, retention, engagement and usage, as well as opportunities for growth and cross-selling
  • Advocate innovation of advanced analytics processes to find opportunities within the data that result in business growth and continued customer usage, as well as growth of the highly statistical teams
  • Lead a highly capable and advanced data science team using SQL, Python and R/SAS to build algorithms and statistical models to forecast sales, growth, predict customer behaviors, and help understand business priorities, while keeping costs low, and increasing return customers; building reports so that they are accessible across the business.
  • Work collaboratively with multiple, global teams to ensure that their business needs are met, and insights are relevant to enhance their individual department strategies, and help take new products and services to the wide and ever-expanding customer base

YOUR SKILLS AND EXPERIENCE:

  • Degree educated in a numerical discipline such as Math, Statistics, Economics, Operational Research or similar
  • Proven capabilities in leading, developing and enhancing multi-disciplinary, advanced analytics teams, including Data Scientists, Engineers, Advanced Analysts, and Business Intelligence Analysts across international offices
  • Strong technical background in SQL, Python and R/SAS, with experience in visualization tools such as Looker highly desirable
  • Business savvy mindset, understanding how data services the entire business, with a track record of having deep ownership of projects and demonstrating the obsession with improvement of what is possible with data
  • Impeccable communication skills with experience working successfully in cross-functional teams

BENEFITS:

As the Director Customer Analytics, you can expect to earn up to $155,000 (based on experience) with competitive benefits, and the opportunity to be a true change agent within a highly focused and data-driven business

HOW TO APPLY:

Please register your interest by sending your resume to Jenni Kavanagh via the Apply link on this page

KEYWORDS:

SQL, Python, R, Analytics, Strategy, Data Science, Director, Data Engineering, Business, Time-Series, Regression, Statistical Analysis, Predictive Analytics, Model, Modell, Modeling, Modelling, Senior, Manage, Manager, Stakeholder Manager, Customer Acquisition, Looker, Retention, Sales, Growth, Advanced Analytics, Luxury, Travel, SAS, Churn, CHAID, Cluster, Segmentation, Acquisition, Retention

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64604/JK
Tampa, Florida
US$140000 - US$155000 per year
  1. Permanent
  2. Customer Insight

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Tips for your Data & Analytics Resume

Tips for your Data & Analytics Resume

So, you’re pursuing a career in Data & Analytics. The brilliant thing about this is you’re entering a fast-growing industry with the potential for a great salary. But, unfortunately, this also means you’re probably entering into one of the most competitive fields out there right now.  The question is, how can you ensure your resume stands out from the crowd and impresses any potential employer?  Here are some top tips to help boost your Data & Analytics resume. Formatting is important It may seem obvious, but handing over a messy resume with no headings and massive blocks of text is no way to make a good first impression. Research suggests your resume is only looked at for a total of six seconds, so it’s important to make an impact on first glance.  Not only does this entail creating a well-presented document overall, but it also means paying attention to the small details such as structuring your resume to best emphasise the qualities and experience you think speak most highly of your ability to do the job well. This is why utilising a reverse chronological format is sometimes a worthwhile idea. For a highly competitive job in a Data & Analytics related field, where past experience is an important factor, beginning a resume with your most recent experience nearest the top will draw the eye and attention of the hiring manager reading it. Additionally, make sure your skills, qualifications, extra courses and impressive achievements are highlighted and clearly stated within the main body. As such, it’s better to use bullet points wherever possible instead of paragraphs and, consequently, you’ll find your resume a lot more compact and legible; in other words, much more likely to be read and remembered.  Quality over quantity  Having the most aesthetically pleasing resume in the world will mean nothing if the content doesn’t relate to the job you’re applying for. Again, this may sound obvious but it’s always worth combing through your resume to eliminate any irrelevant features and leave more space to talk about the things that matter.  Having a single page summarizing the most impressive contributions in your last role, or the most valuable insights gathered from a particular project you were involved with, is much more valuable than a multi-page essay about your volunteering with a local soccer club five years ago (unless, of course, your role heavily related to Data & Analytics). When introducing yourself, avoid long sentences and pronouns, and use impactful verbs when describing your achievements: for instance, try “instigated” instead of “started” and “spearheaded” instead of “led”. Also be sure to highlight and, where possible, quantify how your previous work in data/analytics benefitted your old company.  Know the value of your skillset It’s worth dedicating a section of your resume just to listing your most valuable skills as they relate to the job you want. However, make sure to be specific when describing your technical skills and experience with whichever tool you’re talking about. State your level of expertise and how you utilized said software to make your knowledge clear to whoever’s reading.  If you’re applying for an entry level position, however, and don’t have much experience or technical skills yet, it’s important to show off whichever skills you already have and how they  will make you a great addition. It’s worth researching which of your more general skills are the most sought after by employers, and then gaining an understanding of which ones best relate to the job you’re trying to get. For jobs working in Data Science, for instance, maths skills, analytical skills and problem solving are well worth mentioning. Ultimately, you want this section to contain a comprehensive, impressive sounding, and accurate, list of your most relevant skills.   If you’re interested in Big Data & Analytics, we may have a role for you. Take a look at our latest opportunities or contact one of our expert consultants to find out more:  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. This guest blog was provided by check-a-salary. 

Big Data In Politics – Win, Lose, Or Draw

Big Data In Politics – Win, Lose, Or Draw

In the movie Definitely, Maybe starring Ryan Reynolds, there’s a scene in which he must sell tables for a political campaign dinner fundraiser. He makes call after call with no luck. Finally, in frustration, he speaks plainly and finds a connection between the politician and the prospective donor. In an instant, he understands. Make the connection and you can’t go wrong. This is the 90’s version of micro-targeting. Online advertising today has honed targeted Marketing to an art form and it’s infused every industry from Fisherman’s Wharf to Wall Street to Washington. Messages are crafted on detailed profiles of what makes us unique such as hopes, fears, dreams, emotional triggers, and more which is then taken out of the hands of humans. Enter such deep, personal details into automated technologies and you’ll get automated reactions. How did we get here? Ever since Cicero’s brother, Quintus, who approached politics with a do anything to win mindset, we’ve been working toward this point. But, when it comes to technological advances within politics, George Simmel put it best when he wrote around 1915, “the vast intensive and extensive growth of our technology…entangles us in a web of means, and means toward means, more and more intermediate stages, causing us to lose sight of our real ultimate ends.”  What does this mean? It means we have moved so quickly and with such intensity as we push inwards while reaching outward, we get tangled up in our own systems. Before we know it, it’s difficult to separate the means from their ends, and we lose sight of our purpose. In other words, it can be hard to keep our sense of direction with our constant distraction of tasks, systems, and processes. According to Simmel, this would soon morph into what he called a ‘fragmentary character.’ Like a mosaic, we put the pieces back together and assemble the bits to fit our concept of the world.   The Digitizing of Campaigns Traditional campaigning has traditionally looked much like the movie scene mentioned above with phone banks, whiteboards, and handmade signs. But, today, things are changing. Everyone has at least one smart device which can sync information in real time to a range of devices. Algorithms and predictive modeling help reduce the guesswork, though gut feeling and instinct still prevail. At least, for now. Our machines are learning how to learn about us and define what we believe and wish to see by historical Data, or rather our past behaviors. Where psychographic profiling meets micro-targeting. What was once only seen in the Marketing world has now entered politics. Just like marketers want to know what people are interested in, so to do politicians wish to know what voters think. To do this, both industries will study behavioral and attitudinal profiles to help understand a demographic better or discern a gap in the marketplace. In consumer research, companies rely on psychographic micro-targeting to reach smaller groups and individuals. The key question here is to ask is to what extent are politicians prepared to pass laws that restrict their own opportunities to know more about voters. Just as the next generation of voters are coming, so too are the next generation of tools being developed.  One Final Thought… Over the last 20 years or so, we have built an immense Data structure from mobile devices to social media to modelling processes and more. With this kind of connectivity combined with fragmentary media, the use of Data Analysis has a big role to play going forward. If we seek change in our political and social infrastructures, we will have to reimagine the structures currently in place. From algorithmic modelling to AI and Machine Learning, the possibilities for new ideologies has emerged blurring the lines between context and production in which Data underpins capitalism. As those in Data Analytics continue to pursue an uninterrupted (read: non-fragmentary) vision of the world, we find ourselves at a new stage in history of where both looking back and looking forward at the same time informs our future.   Where would you like to go? If you’re interested in Big Data & Analytics, we may have a role for you. Take a look at our latest opportunities or contact one of our expert consultants to find out more:  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

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