Senior Analyst - Data Analytics

Hoboken, NJ, US
Competitive remuneration package
27 Jan 2022
31 Jan 2022
Approved employers
Approved employer
Contract type
Full time
Experience level
Qualified accountant

Job description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Tax Technology and Transformation offers services to companies in response to the impact of existing and emerging technology, including the growing data burden that many businesses face, driving efficiencies to create a cost-effective tax function and the need to understand how to make data an asset. The underlying objective of the combined offerings is to help businesses navigate the digital age of tax transparency alongside new trends in tax compliance and tax audit methods, as well as helping to solve the most pressing challenges that businesses face. Tax Technology and Transformation is composed of the following services:

  • Digital tax transformation
  • Tax applications-as-a-service
  • Tax data and improvement
  • Tax analytics and reporting enhancement
  • Emerging tax technology, including robotic process automation (RPA), artificial intelligence (AI), blockchain, cloud solutions, data lake development and business intelligence innovation
  • Tax technology program mobilization
  • Custom tax technology application development and deployment
  • Tax technology strategy and road mapping
  • Direct and indirect tax systems implementation and configuration
  • Post-transaction (M&A) tax function operational services
  • Tax operating model transformation, including process improvement, risk and controls
  • Tax function assessments

The opportunity

Tax Technology and Transformation is an area that has seen significant growth and investment recently, and you will see that reflected in your experience. It is no exaggeration to say that you will be working on highly publicized projects. The field of taxation is constantly changing as new laws, regulations, and technologies are created, and this is your opportunity to be part of that development.

Key responsibilities

We are looking for an ambitious, self-motivated data scientist or data engineer who will help us discover the information hidden in vast amounts of data, and help us deliver even better products to our clients. Your primary focus will be in applying data mining techniques, doing statistical analysis and building high quantity prediction systems integrated with our products. You will be expected to team on a national and even global scale, so strong communication skills, attention to detail, and ability to effectively drive results are essential.

  • Selecting features and, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results in a clear manner

Depending on your unique skills and ambitions, you could be supporting various client projects, ranging from assisting in the production of leading edge machine models, to designing and implementing robust data pipelines that can handle data at a multinational, enterprise scale. Whatever you find yourself doing, you will contribute and help toward developing a highly trained team, all the while handling activities with a focus on quality and commercial value. This is a highly regulated industry, so it is all about maintaining our reputation as trusted advisors by taking on bold initiatives and owning new challenges.

Skills and attributes for success

  • Strong understanding of machine learning techniques and algorithms, such as Linear/Logistic Regression, k-NN, Naïve Bayes, Support Vector Machines (SVM), Decision Forests, etc.
  • Experience with common data science programming languages, such as Python R
  • Strong knowledge and experience using the Python toolkit (Pandas, NumPy, Jupyter Notebooks, etc.) are essential
  • Experience with data visualization tools, such as PowerBI, D3.js, etc.
  • Experience with one of the following: SQL and NoSQL database technologies, SQL Server, MongoDB
  • Strong scripting and programming skills
  • Ownership of assigned tasks and monitoring them until completion, including documenting requirements, configuration, testing and debugging.
  • Ability to identify ways to automate manual tasks using existing financial or tax systems and emerging technologies
  • Ability to consolidate tax data to make analysis and planning more efficient
  • Focus on improving reporting capabilities to enhance our clients’ ability to evaluate risk and capitalize on opportunities
  • Willingness to support project team members in any way needed to help ensure timely completion of deliverables
  • To qualify for the role, you must have
  • A bachelor’s degree in information system, tax technology, management information systems or computer science or related field and a minimum of two years of related work experience
  • A passionate interest in data science and its role in the organization
  • Excellent communication and business writing skills
  • A natural flair for problem solving and an entrepreneurial approach to work
  • Strong organizational and time management skills, with exceptional client-serving consulting skills
  • Demonstrated ability to capture and synthesize business requirements
  • Desire and demonstrated ability to provide leadership within a team
  • Ideally, you’ll also have
  • Experience with Apache Spark
  • Experience with Hadoop and/or distributed database systems
  • Experience working in the Microsoft Azure Cloud environment
  • Experience developing ETL solutions using SSIS or other tools
  • ERP experience, including SAP and/or Oracle-preferred but not required
  • Practical experience or strong theoretical understanding of neural networks

What we look for:

We are looking for knowledgeable data science professionals with a passion for turning data into actionable insight. You will need strong business acumen and a firm strategic vision, so if you are ready to use those skills to develop your team, this role is for you.

What we offer

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, national origin, protected veteran status, disability status, or any other legally protected basis, in accordance with applicable law.

For further information, and to apply, please visit our website via the “Apply” button below.

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