Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate
Job Description
& Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more
about us
. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description
& Summary: We are looking for a skilled Cloud Data Engineer with robust expertise in Databricks,
Advanced SQL and in Python programming, to join our team in Noida. The candidate will be responsible for designing, developing, and optimizing scalable data solutions on the Azure/AWS/GCP cloud platform. You will play a critical role in building data pipelines and transforming complex data into actionable insights by leveraging cloud-native tools and technologies.
Responsibilities:
Work on vendor management PR, PO creation on Ariba Ensure payment milestones are maintained, and vendors are paid on time. Analyzing financial data, including project budgets, risks, and resource allocation. Providing financial reports and budget outlines to Executives. Team Governance and manage financials of the account. Mandatory skill sets:
• •
• Stakeholder management, project operations, communication skills, PR, PO creation, Fund management Preferred skill sets: •
• Stakeholder management, project operations, communication skills, PR, PO creation, Fund management Years of experience required: 4-7 years Education qualification: B.
Tech/MCA/BCA/M.tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date August 25, 2026
📌 IN_Senior Associate_PMO_GCC_Advisory_Noida (Noida)
🏢 PwC
📍 Noida