AWS Data and Analytics Advisory Senior Associate

IN_Senior Associate_SAP MM (Materials Management)_Data and Analytics_Advisory_Mumbai

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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

Experience – 4 to 10 Years Responsibilities · Experience: 7 to 10 years in SAP MM implementation, support, and upgrade projects. · End-to-end expertise in SAP MM configuration and customization across Procurement, Inventory Management, Valuation, and Invoice Verification. · Strong knowledge of Procure-to-Pay (P2P) cycle, vendor master data, purchase requisitions, purchase orders, contracts, and release strategies. · Hands-on experience in integration with other SAP modules (SD, PP, WM, FICO, QM). · Experience in material valuation, account determination, split valuation, and pricing procedures. · Exposure to special procurement types (consignment, subcontracting, stock transfer, third-party processing). · Ability to design and implement complex business scenarios including inter-company procurement and cross-plant stock transfers. · Experience in SAP MM support projects: monitoring batch jobs, troubleshooting procurement/inventory issues, resolving pricing discrepancies. · Knowledge of SAP S/4HANA migration/upgrade projects and familiarity with new functionalities like Fiori apps for procurement. · Experience in LSMW, BAPIs, BADIs, and enhancement frameworks for custom developments. · Strong understanding of business requirements mapping to SAP MM architecture. · Exposure to SAP Ariba, SAP SRM, or SAP Fieldglass will be a plus. · Ability to conduct workshops, gather requirements, and translate them into SAP MM solutions. · Strong analytical and problem-solving skills with ability to work under tight timelines.

Mandatory skill sets:

‘Must have’ knowledge, skills and experiences · SAP MM configuration (Procurement, Inventory, Valuation, Invoice Verification) · Procure-to-Pay cycle expertise · Integration with SD, PP, WM, FICO, QM · Material valuation & account determination · SAP S/4HANA migration/upgrade experience · LSMW, BAPIs, BADIs, debugging skills · Troubleshooting procurement & inventory issues

Preferred skill sets:

· Knowledge of SAP Ariba / SRM / Fieldglass · SAP MM certification (plus) · Strong communication & client interaction skills · Project management & stakeholder collaboration · Problem-solving & system optimization

Years of experience required: 7 to 10 years relevant experience

Education qualification: o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of TechnologyDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP MM Module

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 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

September 8, 2025

Experience Level

Senior Level