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.
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:

• Global orientation: Work with a global mindset with teams based in the UK, Germany and other Middle Eastern Countries.
• Project work: Using innovative methods and partnerships with leading vendors, your role involves the following:
  • Collaborate with clients to understand their business processes, objectives, and challenges.
  • Gather and extract relevant data from various sources, ensuring its accuracy and completeness.
  • Clean, transform, and prepare data for analysis using appropriate tools and methodologies.
  • Utilise process mining techniques and tools to visualise and map out as-is processes based on the extracted data.
  • Analyse process data to identify bottlenecks, inefficiencies, and deviations from desired outcomes.
  • Apply data analytics methods to measure process performance and quantify the impact of process variations.
  • Propose process improvements and optimization strategies based on analysis findings and industry best practices.
  • Collaborate with stakeholders to design and implement process changes, such as process redesign, automation, or the introduction of new technologies.
  • Prepare comprehensive reports and presentations to communicate findings, recommendations, and the impact of process improvements to stakeholders.
  • Provide guidance and support to clients in implementing process mining solutions and embedding process optimization practices within their organisation.
  • Collaborate with cross-functional teams, including business analysts, process owners, and IT professionals, to ensure successful implementation of process improvements.

Eligibility / Qualification Required:

• Good understanding of data analytics and/or data science.
• Experience in SQL is required.
• Experience with Python programming is desirable.
• Business process expertise in finance, operations, or energy sectors is desirable.
• Understanding of process mining & modelling practices.
• Familiarity with process mining and process modelling tools (e.g., Celonis, Signavio) is advantageous.
• Language: German Speaker is a must.

Education:

• Degrees/Field of Study required: Not specified.
• Degrees/Field of Study preferred: Not specified.

Certifications:

• Certifications not specified.

Skills:

Required Skills:

• Accepting Feedback
• Active Listening
• Algorithm Development
• Alteryx (Automation Platform)
• Analytical Thinking
• Analytic Research
• Big Data
• Business Data Analytics
• Communication
• Complex Data Analysis
• Conducting Research
• Creativity
• Customer Analysis
• Customer Needs Analysis
• Dashboard Creation
• Data Analysis
• Data Analysis Software
• Data Collection
• Data-Driven Insights
• Data Integration
• Data Integrity
• Data Mining
• Data Modeling
• Data Pipeline

Optional Skills:

• Accepting Feedback
• Plus 38 more skills (not detailed in the provided text).

General Conditions:

General conditions for this position are not specified in the provided text.

How to Apply:

Application details, including required documents and submission method, are not specified in the provided text.
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