Line of Service Advisory
Industry/Sector Not Applicable
Specialism Deals
Management Level Senior Associate
Job Description & Summary 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.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Essential skills: Bachelor's degree in Economics, Business, Finance or related fields3+ years of experience in Consulting, M&A or Finance positionsAdvanced English level, both verbal and writtenAdvanced Excel and PowerPoint skillsExperience in visualization tools such as PowerBIKnowledge of data models and/or process modellingAnalytical thinking and ability to solve complex problemsWillingness to take ownership of tasksAbility to share your concepts with clarity, get to the core of issues and contribute to the success of the project as a true team playerAbility to work independently on qualitative and quantitative analysisTeam player who can engage in international teamsDesirable skills: AlteryxPythonSQLGerman languageResponsibilities: Data gathering Understand the objectives, scope, and specific requirements of a given activityOrganize the data by ensuring that the raw data received is properly organized and structured. This may involve sorting, categorizing, and formatting the data in a way that is easy to work with.Data validation Check the data for accuracy, completeness, and consistency. Look for any missing or duplicate entries, outliers, or errors that may affect the quality of the data.Data cleansing Perform data cleaning tasks such as removing irrelevant or redundant information, correcting errors, standardizing formats, and handling missing values.Data analysis Conduct exploratory data analysis to gain insights and understand the characteristics of the dataSummarize the data, identify patterns or trends, and visualize the data using charts or graphsDocument any observations, issues, or insights discoveredReporting Transform the data, selecting relevant variables, and structuring it in a way that is easily understood across various audiencesExplain key insights in data and put together a storyline that helps decision makingUnderstand the importance of correct information managementAdditional Information: All qualified applicants will receive consideration for employment at PwC without regard to ethnicity; creed; color; religion; national origin; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; marital; or any other status protected by law. PwC is proud to be an inclusive organization and equal opportunity employer.
Travel Requirements Up to 20%
Available for Work Visa Sponsorship? No
Government Clearance Required? No
Job Posting End Date
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