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Talent Intelligence Senior Analyst

EY
Bengaluru, IND
Senior
Onsite
Discovered Today
pythonsql

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What we offer

  • As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer:
  • 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.
  • 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.

Qualifications

  • You are a detail-oriented and analytical professional with a strong background in data transformation, statistical analysis, and data visualization. You have a strong foundational understanding of labor market dynamics, and behavioral science and are eager to apply your skills to support Talent Intelligence initiatives. You thrive in a global and collaborative environment and are excited about the opportunity to work with a diverse team of experts to drive EY's talent strategy forward.
  • Your Key Responsibilities
  • Understand and transform data from external vendors to ensure accuracy and relevance.
  • Assess the effectiveness of data sources and data-gathering techniques and aid continuous improvement and enhancement of the overarching Talent Intelligence analytics suite development.
  • Utilize programming languages such as R or Python to analyze and interpret data.
  • Effectively leverage SQL to manipulate Talent Intelligence data.
  • Create and maintain PowerBI dashboards to visualize data and communicate insights effectively.
  • Conduct applied talent research and productize insights at scale, using both internal and external economic and talent data to build insights and recommendations.
  • Collaborate with the Global Talent Intelligence Behavioral Science Lead and other team members to understand business needs and provide tailored Talent Intelligence solutions.
  • Assist in the development and delivery of Talent Intelligence products, reports, and presentations.
  • Monitor external best practices and internal feedback to identify and propose opportunities and support the functional leads in the feasibility analysis for the enhancement of existing practices, models, and processes.
  • Contribute to a culture of continuous learning and development within the TIA team.
  • Skills and attributes for success
  • Bachelor's degree in Data Science, Statistics, Behavioural Science, Psychology, or a related field.
  • Deep subject matter expertise in data engineering, visualization, and related functional domains to generate and support insights and analytics.
  • Proficiency in programming languages such as R and statistical software like SPSS.
  • Experience with data visualization tools such as PowerBI.
  • Foundational understanding of behavioural science principles and their application to Talent Intelligence.
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
  • Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders.
  • Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.
  • A proactive and innovative mindset, with a passion for leveraging data to drive strategic business decisions.

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