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Lavori simili:

Lavori da Cyber SecurityLavori da Security SupervisorLavori da Manager SecurityLavori da Security OfficerLavori da Security Guard

Data Analyst, AI & Data, Technology Consulting

Ernst & Young Advisory Services Sdn Bhd
Singapore
USD 50.000 - 90.000
Descrizione del lavoro

Location:

Other locations: Primary Location Only

Date: Mar 23, 2025

Requisition ID: 1513065

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together.

We’re all in, are you?

Join EY and shape your future with confidence.

About the opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. We are looking for a Data Analyst within the AI & Data team in our Singapore office. This role is offered on a flexible full-time basis.

Your key responsibilities:
  • Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
  • Create informative and interactive dashboards and reports in Power BI, Qlik or similar tools to meet the needs of the business.
  • Write advanced SQL queries for data manipulation and retrieval from relational databases.
  • Develop and optimize data models within the dashboarding tool for reporting and analytics.
  • Perform data extraction, transformation, and loading of large and complex data sets from various source systems.
  • Ensure data quality and integrity by implementing data validation and testing within ETL processes.
  • Monitor ETL jobs, troubleshoot any issues, and perform performance tuning to improve data processing.
  • Stay current with the latest technologies and best practices in data engineering and business intelligence.
Skills & attributes for success:
  • Experience of data-driven organizational transformation supported by data insights and good story telling.
  • Experience in business intelligence, data warehousing/platform, or data strategy projects.
  • Experience in ETL development and Data Analysis.
  • Knowledge and experience in data governance, data security, and privacy practices.
  • Exceptional communication, documentation and presentation skills and stakeholder management experiences.
To qualify for the role, you must have:
  • Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Minimum of 1 year of experience as a Data Analyst with experience in ETL development and data warehousing.
  • Prior experience with Azure Data Factory, including building and optimizing data pipelines, is preferred.
  • Strong proficiency in writing and optimizing SQL queries.
  • Expertise in popular commercial BI tools, such as Power BI, Qlik.
  • Familiarity with data governance, data security, and privacy practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills to work effectively with both technical and non-technical team members.
Ideally, you’ll also have:
  • Dashboarding experience with Power BI, Qlik or equivalent tools.
  • Experience in engaging with both technical and non-technical stakeholders.
  • Consulting experience and background, including engaging directly with clients.
What we look for:
  • Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
  • An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
What working at EY offers:

EY offers a competitive remuneration package where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements. Plus, 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.
Company description:

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

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* Il benchmark retributivo si basa sugli obiettivi retributivi dei leader del mercato nei rispettivi settori. È pensato per orientare gli utenti Premium nella valutazione delle posizioni aperte e aiutarli a negoziare la propria retribuzione. Tale benchmark non è fornito direttamente dall'azienda, quindi la retribuzione effettiva potrà risultare anche notevolmente superiore o inferiore.

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