Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives.

In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives.

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 – 7+ Years 

 

Responsibilities 

• Support Paid Media data enablement initiatives by working with Marketing, IT teams, and Paid Media data vendors. 

• Conduct requirements gathering sessions with business and technical stakeholders. 

• Review and understand BRDs, KBQs, FIAs, vendor documentation, source files, and data dictionaries. 

• Create and maintain FRS/FRDs, business rules, KPIs, source-to-target mappings, user stories, and test scenarios. 

• Perform data discovery, profiling, validation, reconciliation, and impact analysis. 

• Use SQL, Excel, Microsoft Fabric, and self-service analytics tools for data exploration and validation. 

• Analyze paid media data sources, transformations, and reporting requirements. 

• Support reporting mockups and dashboard requirements for Power BI. 

• Translate business requirements and data logic to data engineering teams and participate in solution design discussions. 

• Support SIT/UAT, defect triage, and requirement validation. 

• Track dependencies, risks, assumptions, and action items, and provide regular project status updates to stakeholders. 

 

Mandatory skill sets: 

 

‘Must have’ knowledge, skills and experiences  

• 7+ years of Business Analysis experience supporting Data & Analytics projects. 

• 2+ years of experience working with Paid Media digital marketing datasets in an analytics context. 

• Strong expertise in BRD, FIA, FRS/FRD, business rules, data mapping, and test scenarios. 

• Advanced SQL skills for data analysis, profiling, and validation. 

• Understanding of dimensional data modeling concepts including Facts, Dimensions, Primary Keys, and Star Schema design. 

• Working knowledge of Microsoft Fabric, Power BI, Excel, and self-service analytics tools. 

• Understanding of API-based data exchanges, SFTP-based file exchanges, and analytics data ingestion concepts. 

• Strong communication skills with technical and non-technical stakeholders. 

•  

Preferred skill sets: 

 

• Pharmaceutical commercial data experience. 

• Hands-on experience with USA paid media platforms such as CM360, DV360, SA360, Google Ads, Meta Ads, Microsoft Ads, LinkedIn, TikTok, PulsePoint, IAS, Doximity, and Phreesia. 

• Ability to work closely with Marketing, IT, data engineering teams, and external vendors. 

• Strong stakeholder management, project tracking, and status reporting skills. 

 

Years of experience required: 

7+ years of relevant Business Analysis experience, including 2+ years with Paid Media digital marketing datasets. 

 

Education qualification: 

 

Bachelor’s or Master’s degree in Business, Marketing, Computer Science, Data Analytics, Engineering, or a related field. 

 

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

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

SAP BW/4HANA

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Digital Tooling, Embracing Change, Emotional Regulation, Empathy {+ 18 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

April 14, 2026