Data Analyst - Manager

What's happening at PwC? As part of PwC's global strategy, The New Equation, we're investing significantly in skills, capabilities and technologies to address the breadth and complexity of the challenges that our clients face with their businesses and in society. One of our responses to this was establishing Tech Central, a technology focused function working alongside other PwC teams. What's happening in the function? Tech Central is rapidly growing and the environment that our people work in is fueled by ingenuity, collaboration and innovation. Our people are skilled and passionate about the work they do. As part of the team you'll experience an environment consisting of a wide range of technologies with ample room for you to learn, grow and innovate. About the team: Joining the data team offers multiple opportunities to work on cutting edge technologies & solve complex data problems. As a large organisation we have vast quantities of data moving around our systems ready to be organised, analysed & leveraged to create business insights that can help us operate effectively. As a Data Analyst you will be front and centre in linking the complex world of data to real world decisions.
Job Skills:
A Data Analyst collects, organises and studies data to provide insight and facilitate understanding.
The role requires experience in and a strong ability to:

• Create and/or maintain data models , dictionaries, data mappings, flows as part of project engagements.
  
• Apply metadata techniques and practices
  
• Apply the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. You present, communicate and disseminate data appropriately and with high impact.
  
• Link, aggregate, manage and clean data
  
• Undertake a range of analytical and statistical studies on data and present findings
  
• Identify data anomalies, nuances, undocumented standards and errors that will impact data quality and improvements.
  
• Determine structure, content and relationships within and across datasets
  

Proficiency in the following technologies is required:

• SQL - Intermediate experience of SQL to interpret data
  
• Python
  
• PowerBI
  
• Databricks
  

The following non-technical skills for data analysis within Tech Centralis are required:

• A working knowledge of data architecture through reuse of data, interfaces, designs where appropriate
  
• Technical writing skills that contribute to the documentation of Data Standards including Data Definitions and Data Quality Rules
  
• Work with business and technology stakeholders to translate business problems into data designs.
  
• Effective communication skills across organisational, technical and political boundaries, understanding the context. You make complex and technical information and language simple and accessible for non-technical audiences
  

• Understand Data Quality Management principles
  
• Knowledge of data governance standards, controls and requirements and how they are factored into design activity
  
• Have an overall perspective on business issues, events and activities, and an understanding of their wider implications and long-term impact. This could include determining patterns, standards, policies, roadmaps and vision statements.
  

Related expertise:

• Understanding of Data Quality Management principles
  
• Data Design discovery & process management
  
• Appreciation for data governance standards, controls and requirements and how they are factored into design activity
  
• Experience in Python is desirable.
  
• have an overall perspective on business issues, events and activities, and an understanding of their wider implications and long-term impact. This could include determining patterns, standards, policies, roadmaps and vision statements.