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AssociateJob Description & Summary
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.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 purposeled and valuesdriven 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 an Associate youll work as part of a team of problem solvers helping to solve complex business issues from strategy to . 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 asis 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 crossfunctional teams including business analysts process owners and IT professionals to ensure successful implementation of process improvements.
Role requirements:
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
Essential skills & attributes:
Excellent oral and written English skills
Fluency in German is highly advantageous
Technical Competence (SQL/Python)
Understanding of general business processes (i.e. Finance)
Ability and willingness to learn new subject areas
High level of adaptability & flexibility
Good communication and presentation skills
Ability to work within a fastpaced & unstructured environment. Must be able to multitask and effectively and continually prioritise
Education
University degree ideally in the fields of Computer and Information Science Business Informatics Computer Engineering Cyber Security Information Technology Management Information Systems.We encourage all majors to apply.
Data & analytics or process mining & modelling related certifications are a plus (i.e. Celonis Data Analyst Certification)
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Data Analytics Data ScienceOptional Skills
Desired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Full-Time