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.
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to :
- Lead in line with our values and brand.
- Develop new ideas, solutions, and structures; drive thought leadership.
- Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
- Balance long-term, short-term, detail-oriented, and big picture thinking.
- Make strategic choices and drive change by addressing system-level enablers.
- Promote technological advances, creating an environment where people and technology thrive together.
- Identify gaps in the market and convert opportunities to success for the Firm.
- Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.
Minimum Degree Required
Bachelor's Degree
Minimum Year(s) of Experience
10 year(s)
Degree Preferred
Master's Degree
Certification(s) Preferred
Azure Data FundamentalsAzure Data EngineeringPreferred Knowledge / Skills
Demonstrates abilities and / or success in one or many of the following areas :
Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making;Defining data management and data / analytics governance strategy and align data initiatives with organizational goals;Conducting data / analytics strategy refresh on a regular basis and managing overall data strategy program success;Collaborating on and delivering strategy and transformation projects;Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;Understanding and experience with cloud business applications for one or more of the following cloud providers – Salesforce, Oracle, SAP, Workday;Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);Understanding and deep knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);Applying knowledge and relevant work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL / ELT pipeline development (tools : IICS / AWS Glue / SAP BODS / Matillion / DBT / Abinitio / SSIS / SnapLogic);Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;Applying knowledge in SQL, report generation using visualization tools such as Tableau / Power BI / Cognos, programming using Python / Spark;Designing and developing advanced analytics solutions, AI / ML models, and operationalizing based on ML Ops process;Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration / migration, analytics and insights, AI and ML requirements;Understanding and familiarity of one or more is a big plus - CI / CD, cloud devops, containers (Kubernetes / Docker, etc.);Demonstrates thought leader-level abilities with, and / or a proven record of success directing efforts in the following areas :
Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;Working closely with business stakeholders to capture and document business objectives / requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand;Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;Collaborating and contributing as a team member : understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.J-18808-Ljbffr
