Senior Data Science Analyst

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. 

Job description: Analytics Senior Analyst

Function: Talent Executive, Talent Insights and   

Analytics

Sub Function: Advanced Analytics

Position Summary:

This position is responsible for working across a range of analytics projects and solutions for internal clients,

collecting, analyzing, and interpreting data to support informed decision-making. The Analytics Senior Analyst will utilize advanced analytics modeling techniques to extract insights, predict trends, and optimize decision-making, 
while ensuring that data is presented in a clear and usable format.

Essential Functions of the Job:

• Work on a variety of analytics projects and solutions, collaborating with internal clients to understand theirneeds and deliver tailored insights that drive business outcomes.
• Participate in project planning and execution, ensuring alignment with client objectives and timelines.
• Collect, analyze, and interpret large data sets to identify trends, patterns, and anomalies that inform strategic decision-making within EY.
• Utilize advanced analytics modeling techniques to derive actionable insights and support data-driven recommendations.
• Develop and implement advanced analytics models to extract insights and predict trends, optimizing decision-making processes for internal clients.
• Collaborate with team members to refine modeling approaches and ensure alignment with project goals.
• Continuously develop knowledge of analytics methods and best practices to effectively address the evolving needs of internal clients.
• Stay informed about industry trends and emerging technologies in analytics, integrating new techniques into project work as appropriate.
• As required, gather and analyze external market data to provide additional insights for internal clients,enhancing the depth and relevance of analytics projects.
• Ensure that data insights are presented in a clear and usable format, utilizing data visualization tools to enhance understanding and facilitate decision-making.
• Prepare reports and presentations that effectively communicate analytical findings to stakeholders at all levels.

Analytical/Decision Making Responsibilities:

• Collection, analysis, and interpretation of large data sets to identify trends, patterns, and anomalies that inform strategic decision-making for internal clients.
• Utilization of advanced analytics modeling techniques to extract insights and predict trends, providing data-driven recommendations that optimize decision-making processes.
• Generation of actionable insights from data analysis, translating findings into clear recommendations that support informed business decisions.
• Gathering and analysis of external market data as needed, enhancing the depth and relevance of insights provided to internal clients.
• Ensures that analytical results are presented in a clear and usable format, facilitating understanding and enabling stakeholders to make informed decisions based on the insights provided.
• Identification of opportunities for process improvements in data analysis and modeling practices, proposing enhancements that increase efficiency and effectiveness in analytics efforts.

Knowledge and Skills Requirements: 

• Strong proficiency in data analysis techniques and methodologies, with the ability to interpret complex data sets and derive actionable insights.
• Understanding of statistical methods and concepts, including regression analysis, hypothesis testing, and data distribution, to support data-driven decision-making.
• Familiarity with advanced analytics modelling techniques, including machine learning and predictive analytics, to extract insights and predict trends.
• Proficiency in data manipulation and programming languages such as SQL, Python, or R, enabling effective data extraction, transformation, and analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI) to create compelling visual representations of data that facilitate understanding and communication of insights.
• Strong problem-solving skills to identify issues, evaluate options, and implement effective solutions in the 
  context of data analysis.
• High level of attention to detail to ensure data accuracy and consistency in analysis and reporting.
• Excellent verbal and written communication skills to effectively convey analytical findings to diverse stakeholders, ensuring clarity and engagement.
• A commitment to staying current with industry trends, emerging technologies, and best practices in data analytics, adapting skills and knowledge accordingly. 

Job description: Analytics Senior Analyst

Supervision Responsibilities: 

• Provide support and guidance to junior team members, assisting in their development and fostering a collaborative team environment.  
• Share knowledge and best practices with team members to promote continuous learning and improvement.
• Ability to work collaboratively within a team environment, contributing to group efforts and supporting colleagues in achieving common goals. 

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  

Job Requirements:

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 in solving problems in a structured manner and delivering results in a complex and dynamic environment.
• 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 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.

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.