Senior Tableau Reporting Analyst

New York
US$120000 - US$135000 per year

Senior Tableau Reporting Analyst
Global Asset Management Company
New York City
$120,000 - $135,000 + benefits

Do you want to join a widely expanding Asset Management Company who are building an advanced analytics center of excellence to ensure that they optimize and utilize their data across multiple channels, as well as work proactively to explore new streams of data to stay ahead of curve for their customers? If you have a proven background in building and developing dashboards in Tableau, and have strong SQL skills, then this could be the next step for you. It is imperative that the person coming into this role, can take the business to the next level in their analytics capability, helping it grow and develop further, reporting into C-Level.

THE ROLE:

As a Senior Tableau Reporting Analyst you will be an integral part of a growing analytics team, proactively involved in building, managing and evolving their dashboards and visualizations of all data across the portfolio of assets under management. You will focus on:

  • Engaging with a wide variety of stakeholders including the global CTO to understand business, marketing, and product goals and constraints, across all channels.
  • Building high performing dashboards and visualizations using Tableau, teaching others to use, develop and enhance them for personal use, as well as focus on analytics, using SQL to integrate data-driven results.
  • Working with diverse teams across the business including investment management, data governance, engineering, marketing etc. to ensure that the quality of the data are of the highest standard, and producing top results for the business
  • Delivering presentations, insights and recommendations to C-Level stakeholders on how to improve their performance and profitability, as well as building innovative solutions that aid business growth

YOUR SKILLS AND EXPERIENCE:

  • Degree educated (preferably Masters) in a numerical discipline such as Math, Stats, Computer Science or similar
  • Proven capabilities in being involved in end-to-end dashboard development, from ideation and proof of concept to publishing the final results and teaching others to use them.
  • Strong technical skills in SQL and Tableau
  • Proven experience in building, maintaining and developing relationships, as well as delivering recommendations to C-Level stakeholders.
  • Team and project management capabilities, with a strong business acumen are essential. If you have a prior background in asset management, investment banking, trading or risk and fraud, that would be highly desirable

BENEFITS:

As a Senior Tableau Reporting Analyst, you can expect to earn up to $135,000 (depending on experience), plus competitive benefits, and a compelling bonus structure

HOW TO APPLY?

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

KEYWORDS:

Tableau, Reporting Analyst, Tableau Developer, Finance, Banking, Asset Management, Investment, SQL, Python, Tableau, Visualization, Dashboard, Develop, Developer, Client facing, Recommendations, Engineer, Data Science, Customer Engagement, Solutions, Strategy, Advanced Analytics, Data Science, Team Management, Analytics Center of Excellence, Innovation, ETL, Pipeline, Business Analytics, Analysis, Data Blending

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96377/JK
New York
US$120000 - US$135000 per year
  1. Permanent
  2. Business Intelligence

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The Search For Toilet Paper: A Q&A With The Data Society

We recently spoke Nisha Iyer, Head of Data Science, and Nupur Neti, a Data Scientist from Data Society.  Founded in 2014, Data Society consult and offer tailored Data Science training for businesses and organisations across the US. With an adaptable back-end model, they create training programs that are not only tailored when it comes to content, but also incorporate a company’s own Data to create real-life situations to work with.  However, recently they’ve been looking into another area: toilet paper.  Following mass, ill-informed, stock-piling as countries began to go into lockdown, toilet paper became one of a number of items that were suddenly unavailable. And, with a global pandemic declared, Data Society were one of a number of Data Science organisations who were looking to help anyway they could.  “When this Pandemic hit, we began thinking how could we help?” says Iyer. “There’s a lot of ways Data Scientists could get involved with this but our first thought was about how people were freaking out about toilet paper. That was the base of how we started, as kind of a joke. But then we realised we already had an app in place that could help.” The app in question began life as a project for the World Central Kitchen (WCK), a non-profit who help support communities after natural disasters occur.  With the need to go out and get nutritionally viable supplies upon arriving at a new location, WCK teams needed to know which local grocery stores had the most stock available.  “We were working with World Central Kitchen as a side project. What we built was an app that supposed to help locate resources during disasters. 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But, with a robust front and back-end in place, the app already live, and submissions flying in across the States, they were looking for a Data Science team who could make something of their findings.  “We have the opportunity,” says Iyer “to take the conceptual ideas behind our app and work with OurStreets robust framework to create a tool that could be used nationwide.” Before visiting a store, app users select what they are looking for. This allows them to check off what the store has against their expectations, as well as uploading a picture of what is available. They can also report on whether the store is effectively practising social distancing. Neti explains, that this Data holds lots of possibilities for their Data Science team: “Once we take their Data, our system will clean any submitted text using NLP and utilise image recognition on submitted pictures using Deep Learning. This quality Data, paired with the Social Distancing information, will allow us to gain better insights into how and what people are shopping for. We’ll then be able to look at trends, see what people are shopping for and where. Ultimately, it will also allow us to make recommendations as to where people should then go if they are looking for a product.”  In addition to crowdsourced information, Data Society are still keen to get their hands on any real-time Data that supermarkets have to offer. If you know where they could get their hands on it, you can get in touch with their team.  Outside of their current projects, Iyer remains optimistic for the world when it emerges from the current situation: “Things will return to normal. As dark a time as this is, I think it’s going to exemplify why people need to use Artificial Intelligence and Data Science more. If this type of app is publicised during the Coronavirus, maybe more people will understand the power of what Data and Data Science can do and more companies that are slow adaptors will see this and see how it could be helpful to their industry.”   If you want to make the world a better place using Data, we may have a role for you, including a number of remote opportunities. Or, if you’re looking to expand and build out your team with the best minds in Data, get in touch with one of expert consultants who will be able to advise on the best remote and long-term processes. 

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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