Sr. Data and Analytics Manager

Rochester, New York
US$170000 - US$180000 per year

Senior Data and Analytics Manager
FinTech
$170,000 - $180,000
Rochester, NY

I have exclusively partnered with one of the leading FinTech companies in the world and they are looking for someone to come in and be a leader of all predictive analytics! My client is seeking a Senior Data & Analytics Manager to guide the entire enterprise Data and Analytics division and optimize multi-channel data across the organization to generate valuable insights and recommendations. This position will require an extensive use of important tools such as SQL, Python/R, SAS, and Tableau, but will be more strategic in nature.

THE COMPANY:

This FinTech company have built an empire that generates over $4bn a year and they are only going up from here! They have grown at an incredible rate over the last years and are have become one to watch out for offer other companies the ability to facilitate multiple aspects of outsourcing services.

THE ROLE:

As a Senior Data & Analytics Manager you will not only lead a team of multiple skilled and talented data scientists, but it will also allow you to be a key player in the work environment. Through your leadership, billions of rows of data will be analyzed, and insights will be delivered to the different teams across the business.

YOU WILL:

  • Lead a fast-paced team of 20 Data scientists
  • Represent the entire data science sector in term of reporting and engaging in activities within the business
  • Have a background in tools such as Python/R, SQL, SAS, and tableau
  • Evaluate and asses the business applicability whilst utilizing various techniques such as ANOVA, liner, and logistic regressions
  • Translate the results derived from your team's predictive analytics to other departments that will utilize this to improve the brand
  • Mapping out, advising and directing projects for your team members to maximize their time and abilities
  • Introduce traditional predictive modeling
  • Report directly to the CFO and C-Suite members of the company

YOUR SKILLS AND EXPERIENCE:

  • Proficiency in tools such as Python/R, SQL, SAS, and Tableau
  • Proven extensive work experience in the Data Science and Analytics Field
  • Proven background in predictive modeling

BENEFITS:

  • Competitive base salary of $160,000-$170,000 Depending on experience level
  • 401K + Bonuses
  • Compensation offered for relocating
  • Paid Parental Leave
  • Health and dental insurance plans
  • Educational assistance program
  • Vacation time & Paid holidays

HOW TO APPLY:
Please register your interest by sending your CV to Gamou Ngom via the link provided on this page

KEYWORDS:
SQL, Python, SAS, R, Tableau, Lead, Leader, Team, Directing, Data Science, Analytics, Reporting, Senior, Benefits, ANOVA, Outsourcing, Predictive, Data Science, Optimize, Recommendation, strategic, FinTech

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61662/GN
Rochester, New York
US$170000 - US$180000 per year
  1. Permanent
  2. Data Planning

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Tips for your Data & Analytics Resume

Tips for your Data & Analytics Resume

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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.

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