Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& 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 datadriven decisionmaking You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities
This purposeled and valuesdriven 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 for each 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, pregcy, 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 firm s growth To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations
& Summary A career within
A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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
Responsibilities
Design, implement, and document data architecture and data modeling solutions, including relational, dimensional, and NoSQL databases
Collaboration Work with business analysts, data architects, and other stakeholders to understand business requirements and translate them into data models Data Integration Integrate data from various sources and ensure data consistency and accuracy Worked as a Data Modeler in implementations in creating and implementing Data models and Data Base designs using Dimensional, ER models Good knowledge and experience in modelling complex scenarios like many to many relationships, SCD types, late arriving fact and dimensions etc Strong Experience in SQL, able to write complex queries and profile data to understand the relationships and DQ issues Strong experience in creating complex stored procedures and Views Strong experience in writing DAX queries and using advanced techniques in the BI reporting Power BI
Mandatory skill sets
Strong Experience in SQL, able to write complex queries and profile data to understand the relationships and DQ issues
Preferred skill sets
Good to have Datasphere experience
Years of experience required
47
Education
Degrees/Field of Study required Master of Business Administration, Bachelor of Technology
Degrees/Field of Study preferred
Required Skills
Data Modeling
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}
No
