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Azure Advanced Analytics Engineer- Senior Associate

  • Source: Workday
  • Strategy& Israel
  • On-site
  • Full-Time
  • Senior

Job Description

Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an Azure Advanced Analytics Engineer- Senior Associate, you will play a pivotal role in optimizing project portfolios to drive strategic business outcomes within our Internal Firm Services practice. You will oversee project selection, prioritization, and resource allocation to facilitate successful project delivery. As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and enhancing your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work even when the path forward is not clear.

In this role at PwC Acceleration Center India, you will leverage strong organizational and communication skills to effectively manage teams and stakeholders. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. By interpreting data to inform insights and recommendations, you will contribute to the broader objectives of your projects and understand how your work fits into the overall strategy. This position offers an opportunity to deepen your understanding of the business context and how it is evolving, while upholding professional and technical standards.

Responsibilities

  • Overseeing project selection and prioritization to align with strategic business outcomes
  • Coordinating project delivery within budget and timeline constraints
  • Leveraging organizational skills to manage teams and stakeholders effectively
  • Utilizing Agile Methodology and Kanban for efficient project management
  • Developing business cases to support project initiatives and resource allocation
  • Managing the IT project lifecycle to facilitate successful project execution
  • Building and maintaining relationships with internal stakeholders to address project needs
  • Implementing Project Management Office (PMO) development strategies to enhance project oversight
  • Applying critical thinking to analyze complex project challenges and generate solutions
  • Interpreting data to inform project insights and recommendations

What You Must Have

  • Any Graduate
  • 6–8 years of experience in data engineering, analytics, and cloud-based data solutions.
  • Oral and written proficiency in English required

What Sets You Apart

  • The candidate must have strong hands-on expertise in Azure Data Stack including Azure Data Factory, Azure Data Lake, Azure Databricks, and ETL pipeline development.

- Good to have exposure to Power BI dashboards, visualization development, and business intelligence reporting.

  • Utilizing Agile Methodology for efficient project execution
  • Developing comprehensive business cases to support strategic decisions
  • Managing IT project lifecycles with precision and foresight
  • Implementing Kanban for streamlined project management
  • Budgeting projects effectively to optimize resources
  • Leading Project Management Office (PMO) development initiatives
  • Excelling in stakeholder management to build meaningful connections

Travel Requirements

Not Specified

Job Posting End Date

Skills

  • microsoft-azure
  • pwc
  • azure-stack
  • azure-data-factory
  • azure-databricks
  • databricks
  • power-bi
  • workday
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