Analytics Senior Analyst

Job description: Analytics Senior Analyst

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 their needs 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.