Data Analytics & Visualization - Senior Associate

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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. As part of our Analytics and Insights Consumption team, you’ll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
4 year(s)

Preferred Qualifications:

Preferred Knowledge/Skills:

Demonstrates thorough knowledge of, and/or proven success in roles involving the management and strategic use of interactive graphics, data visualization, data mining and data analyses, preferably for a global network of professional services consulting firms:

• Leveraging Agile methodology to develop rich, interactive, and visually striking graphics and data visualization prototypes/wireframes using disparate data sources; 
• Creating rapid prototypes using visualization tools such as Power BI, Tableau and Qlik; communicating design and quantitative results to client teams; 
• Selecting appropriate data visualization tools based on client requirements and data availability e.g. Tableau, PowerBI, Spotfire and Qlikview;
• Upholding UI/UX standards surrounding visualization techniques, rich charting, and analytic dashboards; 
• Collaborating with client and internal teams on design and storyboarding of analytics use-cases; 
• Demonstrating fluency in data preparation and manipulation using standard ETL tools; 
• Collaborating effectively with teams across multiple geographies; 
• Developing high level user stories, create specs, and build some of the production assets;
• Resolving issues and enhancing deliverables;
• Exhibiting a thoughtful voice for end users, constantly thinking about new and improved use cases and features that will appeal to them; and,
• Exhibiting a flexible mindset within a rapid business environment, being comfortable with multi-tasking and shifting priorities quickly.

Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:

• Using Tableau and/or Power BI, SQL, Python, AWS and/or Microsoft Azure; and,
• Understanding of Qlik, Spotfire, Domo, Google Charts, Alteryx, NoSQL, R Script and/or R Shiny.