Manager - Embedded Analytics Developer - Data Analytics - Advisory

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

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.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

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 organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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:

· Strong understanding & hands-on experience in CDS views - including data modelling and analytical reporting. Complete ownership of data modeling, architecture designing, implementation. · End to End design and implementation of a project · Expertise in implementing Odata services - defining configurations, design and development · Experience with DDIC, ALV Reports, Classical Reports, Enhancements, Classical & Kernel BADI, ABAP new syntax, Performance tuning, Customer Exit, RAP and AMDP. · Proficiency in data integration techniques - including ETL, API-based integration, and batch processing across SAP and Non-SAP landscape · Knowledge of data quality principles and processes - including profiling, cleansing, deduplication, standardization, and enrichment for ensuring high-quality master data and Transaction data. · Hands on experience with SQL, or other scripting languages for data analysis, transformation, and validation. · Excellent communication & stakeholder management skills to collaborate with business users, stakeholders, IT teams, and leadership to ensure successful S/4Hana Embedded Analytics implementations.

Mandatory skill sets:

· Experience with CDS views - including data modelling and analytical reporting- end to end implementation and testing · Expertise in implementing Odata services, RAP and AMDP - defining configurations, design and development · Experience in working with RFPs, internal/external POVs, accelerators, and embedded analytics framework to support pre-sales and consulting engagements.

Preferred skill sets:

· SAP Embedded Analytics – CDS views, SAP Hana, SAC.

Years of experience required:

7-10

Education qualification:

B.Tech / M.Tech / MBA / MCA

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

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP Embedded Analytics

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, 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, Data Modeling {+ 43 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