- Develop strong partnerships across the business to deliver complex messages and insights.
- Collaborate with Data & Insights team to build and enable services at scale.
- Work on Talent Insights and Analytics projects effectively and leverage deep project experience and insight to optimize project delivery, identify risks and appropriate mitigation strategies, consulting with leaders as needed.
- Analyses and clearly presents data and other information to identify significant trends or key issues, provides recommendations and makes presentations on trends, forecasts, supplies, predicts future potentials.
- Actively engages with talent leadership to understand the business context, scope, and translate into projects and deliverables.
- Collaborate with the leads to manage and drive the execution of the Talent Insights and Analytics (TIA) roadmap.
- Facilitate deployment on new products and service offerings, serves as change lead interacting with stakeholders.
- Participate in strategy discussions translating into actionable measurement.
- Often acts as an expert across multiple projects or programs simultaneously, guiding the teams on their requirements gathering, design, change or implementation approach. May conduct one off business research and analysis tasks related to program or project scope.
- Identifies areas of TIA impacts on the target operating model and designs activities to mitigate possible obstacles during design and delivery phase.
- Work with insights teams and across other talent delivery teams to deliver across value chain.
- Identify and deliver clear recommendations around areas of value creation and communicate scale of opportunity to the business.
Analytical/Decision Making
- Gather requirements and agree with Talent Insights and Analytics designs across business stakeholders, dealing with different interests and resolving disagreements and conflicts, and sometimes needing to challenge poor requirements and design decisions.
- For allocated processes make decisions to define, delivery and continuously improve the process.
- Translate complex analytical results into actionable recommendations.
- Share market insights and review findings with key stakeholders/networks influencing change as required.
Other
- Work closely with business leads and the 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 an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position.
Skills and attributes for success
Experience
- Experience in a closely related Talent and Finance Data analytics / data / insights driven role.
- Experience in solving problems in a structured manner and delivering results in a complex and dynamic environment.
- Experience developing digital capability, defining key competencies for clients, 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 external system implementors to deliver reporting, insights, and analytical solutions from design to enablement.
- Experience 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 leading or provide SMR advice to achieve successful change outcomes.
To qualify for the role, you must have
Knowledge and Skills Requirements
- Good 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.
- Proactive consulting skills that drive business impact; able to interpret business requirements and, where prioritized, co-create the most relevant & pragmatic approach.
- Translate complex technical jargon and concepts into clear, actionable insights that can be easily understood by non-technical stakeholders. Similarly, collaborate with cross-functional teams to ensure data-driven decisions are effectively communicated and aligned with business objectives.
- Knowledge of
data analytics
and visualization tools
and well versed with related market trends, leading practices, services, and solutions. - Ability to manipulate large datasets, derive actionable insights, and present findings clearly to stakeholders.
- Effectively analyze complex data sets, derive insights that drive business decisions, and communicate those insights through compelling visualizations.
- Ability to coordinate multiple projects simultaneously, resource requirements and meet deadlines.
- Strong hold on project management skills to focus on deliverables with agility.
- Good to be familiar with statistical and wiling to learn machine learning techniques.
- Ability to participate effectively in virtual teams and networks across diverse and dispersed geographies.
- 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
- 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 to identify potential future options.
- Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment.
Technical Requirements
- Excel (Advanced such as Power Query, VBA macro, etc.)
- SQL, Data modeling, SSMS
- Visualization/Dashboards Microsoft Power BI (or Tableau or Spotfire)
- Data Analysis tools Phyton, R
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.
Ideally, you ll also have
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.
