At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
Skills
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Apply a learning mindset and take ownership for your own development.
- Appreciate diverse perspectives, needs, and feelings of others.
- Adopt habits to sustain high performance and develop your potential.
- Actively listen, ask questions to check understanding, and clearly express ideas.
- Seek, reflect, act on, and give feedback.
- Gather information from a range of sources to analyse facts and discern patterns.
- Commit to understanding how the business works and building commercial awareness.
- Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
Data – Associate (5Years)
Our Analytics & Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed‑services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build, and operate the next generation of data and analytics solutions as a Senior Data Analytics support associate.
Basic Qualifications
Job Requirements and Preferences
- Minimum Degree Required: Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field
- Minimum Years of Experience: 5–9 years of professional experience in analytics, data science, or business intelligence roles
Preferred Qualifications
- Degree Preferred: Master’s Degree in Statistics, Data Science, Business Analytics, Economics, or related discipline
- Preferred Fields of Study: Data Analytics/Science, Statistics, Management Information Systems, Economics, Computer Science
Preferred Knowledge & Skills
As an Senior Associate, you’ll contribute to advanced analyses, build and maintain data pipelines, develop impactful visualizations, and collaborate closely with stakeholders under the guidance of senior team members:
- Cloud Data Pipeline Development
– Lead design and enhancement of ingestion and transformation jobs on Azure Data Factory, Oracle ODI, or GCP DataFlow
– Coordinate across dev, QA, and Ops to deploy and monitor cloud-native pipelines
– Build complex dashboards and KPIs using Qlik Sense, Power BI, and SSRS
– Optimize BI assets for performance, modularity, and reusability
- Data Access & Identity Operations
– Manage user access configurations across tools like OKTA, SailPoint, or CyberArk
– Participate in privilege reviews, onboarding workflows, and integration of PAM tools into DevOps pipelines
- Security & Compliance Alignment
– Ensure pipelines adhere to encryption, logging, and RBAC policies across platforms
– Support audits by maintaining lineage, metadata, and user access logs
- Incident Response & Automation
– Investigate issues across data feeds, cloud triggers, and scheduled jobs
– Build support scripts or alerts to auto-detect failure patterns
– Own sprint items and lead small feature teams across ingestion and access areas
– Liaise with SMEs from data, cyber, and BI teams to align scope and design
- Mentorship & Best Practices
– Mentor Associates and interns in writing modular queries, reusable BI components
– Enforce documentation standards, naming conventions, and deployment guidelines
