VP Analytics & Strategy

New York
US$225000 - US$250000 per year

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VP Analytics & Strategy
eCommerce
New York City
$225,000 - $250,000

Are you a seasoned leader of multidisciplinary 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:

An eCommerce start-up that has received over $100m in funding over the last 5 years due to their unique ability to disrupt the digital market with their products that are used by over 10 million users worldwide and are growing at an unprecedented rate, are looking for an experienced leader to take their Data Science, Engineering and Business Intelligence teams to the next level, as well as enhance the international growth of the analytics team. They are an agile, fast-paced and collaborative business who are looking to scale their analytics capabilities, with a fully invested C-Suite who believe data should be the core of all decisions made.

THE ROLE - VP Analytics & Strategy

As the VP Analytics and Strategy, you will lead a multidisciplinary, international team, including Data Scientists, Engineers and Business Intelligence Analysts, who use cutting edge analytics techniques to enhance products, services and offerings to a large customer base covering both direct-to-consumer and businesses. Your role will be to leverage billions of rows of 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 analytics 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
  • Advocate innovation of advanced analytics processes to find opportunities within the data that result in business growth and continued customer loyalty, as well as growth of the highly statistical teams
  • Lead a highly capable and advanced analytics team using SQL, Python and R to build algorithms and statistical models to forecast sales, growth, predict customer behaviors, and help understand business priorities, while keeping costs low, and building reports in Looker so that they are accessible across the business.
  • Work collaboratively with multiple teams including Marketing, Product, Finance, and Sales 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
  • There will be 20% travel required for this role

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 analytics teams, including Data Scientists, Engineers, Advanced Analysts, and Business Intelligence Analysts across international offices
  • Strong technical background in SQL, Python and R, 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 VP Analytics and Strategy, you can expect to earn up to $250,000 (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, Vice President, 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

60146/JK
New York
US$225000 - US$250000 per year

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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.

Going Green With Big Data

Going Green With Big Data

Greta Thunberg sailed the Atlantic to come the UN to talk about climate change. Her mother, a renowned opera singer, has given up air travel to support her daughter’s efforts. There is a zero-waste movement to lessen our trash and help alleviate the carbon footprints from our buying, traveling and more. These are steps humans have made. Yet technological advances may make it possible to flip the script for the environment and Big Data has a big role to play.   What are Some of the Advances Taking Place? Technological advances have brought us breakthroughs in modern science and in every industry. Now, we are at a time and place in where our technologies cam help tackle climate change. From modeling to predictions, we can begin to build not just a map of environmental concerns, but begin to build a road toward a solution. Below are just a few of the ways technology is being used to advance solutions for climate change. AI modeling makes it easier to identify problemsPredictive Analytics models can create different scenarios to see ‘what happens if?’Big Data is used to identify areas which need immediate attention This is just the tip of the iceberg when it comes to using technology to predict and identify climate concerns. While some parts of the world contribute more to the problem than others, Big Data has made it possible to draw conclusions where the hardest hit areas are and is key to addressing the problem. But whatever Data brings, the information is useless if it isn’t used to formulate and put forward better environmental practices and policies.  Ways to Upscale Urban Data Science  Manhattan, Berlin, and New Delhi, as varied as they are, have one thing in common. They’re often sites for case studies when it comes to analyzing our environment. However, our advances continue to improve and we’re able to learn from state-of-the-art Data infrastructures. These can include such things as social media data combined with earth observations to see how they might better integrate. A research publication in Berlin suggest three routes for expanding knowledge. They are: Mainstream Data collectionsAmplify Big Data and Machine Learning to scale solutions and maintain privacyUse computational methods to analyze qualitative Data With these advances in place, there is a chance urban climate solutions could effect change on a global scale. With the proper Data of urban areas in place, including that of related greenhouse gases, socio-economic issues, and climate threats, Data professionals can get a clearer picture of what needs to be done. Building on the advances that are in place with the integrated technologies of AI, Predictive Analytics, and Big Data helps make big strides in combatting climate change. According to reports, only about 100 cities make up 20% of the global carbon footprint. Yet 97% of climate concerns are focused in urban areas. There’s still a lot which remains to be done to combat the greatest issue of our age, but working hand in hand – machine and human – we just might find ourselves on reprieve and the chance to leave the world better than we found it for the next generation. The next Greta Thunbergs of the world. If you’re interested in Big Data & Analytics, we may have a role for you. Check out our current opportunities or get in touch with one of our expert consultants to learn 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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