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.

Summary:

The position will be responsible to determine the best analytical approach to implement data modeling solutions to conduct analyses and identify business-relevant insights and create a compelling story to be communicated to key stakeholders and talent executive leadership. The person will have expertise in algorithm development, numerical method, and scientific computing with a strong focus on techniques related advanced predictive modelling, and scenario-based modelling.

Essential Functions:

• Use quantitative and qualitative methods to identify new data modelling solutions on important issues for digital talent team and wider Talent & SL functional teams.
• Identify creative approaches to answer research questions. Use your understanding of what is possible with structured and unstructured data sets to build data models for solutioning specific business problems.
• Design data & insights model to cater to data visualization and be accountable for provision of advanced and predictive analytics to deliver robust analyses and support the delivery of insights to the Talent Executive teams.
• Perform analyses. Independently conduct rigorous statistical analyses in Python or R. Most research projects will utilize quantitative modelling, statistics, or machine learning (especially text analytics).
• Rapidly test potential hypothesis and come up with best suited data models after iterative simulations.
• Co-develop research plan. Work closely with other Digital team members and business stakeholders to help build the algorithms with the potential output.
• Collect and clean data. Identify relevant data sources (internal and external) and program or leverage existing tools to acquire the data (e.g., SQL, APIs, scrapers, etc.) and test quality.
• Continuous improvement and creation of predictive modelling taking new levers and environmental factors into account.
• Work on strategic and operational workforce planning modelling to enable short-term and long-term planning looking at the impact of offshore, automation, and skills while optimizing the cost model.
• Generate innovative analytical ideas by staying up to date on the latest tools and methodologies.
• Provide subject matter expertise on key domain-related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc.
• Enable the best-fit implementation approach leveraging the core and evolving skills in the domain of data analytics, e.g., machine learning, natural language processing, text sentiment analysis.
• Champion the value of analytics and data-driven approach across Talent and provide thought leadership as required on the complete cycle of talent analytics.
• Identify insights and communicate findings. Create a compelling story that articulates key insights to non-technical audiences through PowerPoint and/or Business Intelligence Platforms (e.g., PowerBI).

Analytical/Decision Making Responsibilities:

• Provide expertise and knowledge in how data analytics and planning operate. Understand the digital landscape in-tandem with the Talent and organization strategy, people and operational matters and make decisions to drive and optimize functional delivery standards.
• For allocated processes make decisions to define, delivery and continuously improve the process.

Leverage and review data and information to monitor data analytics and its performance against agreed metrics. (e.g., cost / headcount / efficiency of service delivery) * Share market insights and review findings with key stakeholders/networks influencing change as required.

Knowledge and Skills Requirements:

• Strong business acumen - ability to understand data analytics landscape and to consider the functionality and integration requirements in line with the analytical and reporting capabilities required to implement strategic priorities.
• Bring deep knowledge of data analytics and planning related market trends, leading practices, services, and solutions.
• Ability to participate effectively in virtual teams and networks across diverse and dispersed geographies.
• Proactive consulting skills that drive business impact; able to interpret data analytics and planning requirements and, where prioritized, co-create the most relevant & pragmatic approach.
• Strong teaming skills; collaborate effectively across talent ecosystem, within the digital team and the firm at-large.
• Strong communication skills for sharing thought leadership across EY and externally to enhance EY reputation.
• Strong organizational skills and attention to detail - the ability to operate within budget and effective time frames.
• Strong research and analytical skills to track and interpret trending directions for data analytics and also to identify potential future options.
• Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment.

Supervision Responsibilities:

• Work closely with the Leads across the Digital and wider Talent Functions to ensure the provision of services that support business and functional delivery.
• Develop digital capabilities, define key digital competencies for the team, and ensure provision of learning to advance skills
• Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position.

Other Requirements:

• Due to global nature of the role; travel and willingness to work alternative hours will be required.
• Due to global nature of the role; English language skills - excellent written and verbal communication will be required.

Education:

• Educated to degree level
• Higher professional or master\'s qualification is preferred, not required

Certification Requirements:

• Higher professional or master\'s qualification in a related discipline is preferred, not required
• Active membership in related professional bodies or industry groups is preferred, not required

Experience:

• Significant experience in a closely related Data analytics / data / insights driven role.
• Experience of developing and implementing operational standards and processes to achieve required outcomes.
• Experience of having worked on digital analytics design / process or analytical planning and development initiatives.
• Experience of developing digital capability, defining key digital competencies for the team, and ensuring provision of learning to advance skills.
• Demonstrable experience of collaborating with talent colleagues to understand needs / requirements and of shaping digital solutions.
• Demonstrable experience of working with third party vendors / external system implementors to deliver reporting, insights and analytical solutions from design to enablement.
• Experience of leading and participating in global dispersed teams to enhance services, processes, and standards.
• Demonstrable experience of working in fast-paced, ambiguous, stressful environments to deliver required results.
• Demonstrable experience of anticipating issues and challenges and proactively working to navigate challenges.
• Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements.
• Demonstrable experience of having worked to lead or provide SMR advice to achieve successful change outcomes.

What we offer

We offer a comprehensive compensation and benefits package where you\'ll be rewarded based on your performance and recognized for the value you bring to the business. The salary range for this job in most geographic locations in the US is $104,200 to $189,000. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $125,000 to $214,800. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. 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.

• Continuous learning: You\'ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We\'ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We\'ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You\'ll be embraced for who you are and empowered to use your voice to help others find theirs.

Please apply to this role only through the \'Apply\' link (not through the local office). Your application will then be routed to the appropriate recruiting team.

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, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to individuals with disabilities. If you are a qualified individual with a disability and either need assistance applying online or need to request an accommodation during the interview process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY\'s Talent Shared Services Team or email SSC Customer Support at .

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