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AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob 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.Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour clients and communities. This purpose-led and values-driven work powered by technology in an environment that drives innovation will enable you to make a tangible impact in the real world. We reward your contributions support your wellbeing and offer inclusive benefits flexibility programmes and mentorship that will help you thrive in work and life. Together we grow learn care collaborate and create a future of infinite experiences foreach other. Learn more about us.
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Perform exploratory data analysis to identify trends patterns and actionable insights. Write complex SQL queries to extract transform and analyze data from various sources. Build and optimize data models to support reporting and analytics use cases. Collaborate with stakeholders to understand business questions and translate them into analytical solutions. Support data science initiatives including forecasting and predictive modeling. Apply Gen AI techniques where applicable to enhance data analysis or automation. Document findings methodologies and data workflows clearly and concisely.
Mandatory skill sets:
SQL Data Modelling Data exploration profiling and cleansing
Preferred skill sets:
Data science techniques such as regression clustering or time series forecasting. Prompt engineering LLMs synthetic data generation
Years of experience required:
3-5Years
Education qualification:
BE/ (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Bachelor of Technology MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Data AnalysisOptional Skills
Accepting Feedback 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 38 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
Full-Time