Job Description

Line of Service AdvisoryIndustry/Sector Not ApplicableSpecialism Data, Analytics & AIManagement 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt 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 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 for each other. Learn more .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:

• A minimum of 2 years of working as a MDM consultant or directly with clients leveraging popular tools like Informatica, Reltio etc.
• A minimum of 2 years in a role that had taken ownership of the data assets for the organization to provide users with high-quality data that is accessible in a consistent manner.
• A minimum of 2 years facilitating Data cleansing and enrichment through data de-duplication and construction
• A minimum of 2 years in a role that captures the current state of the system, encompassing processes such as data discovery, profiling, inventories.
• A minimum of 2 years in a role that defined processes include data classification, business glossary creation and business rule definition.
• A minimum of 2 years in a role that applied processes with aim to operationalize and ensure compliance with policies and include automating rules, workflows, collaboration etc.

• Experience in a role that led measurement and monitoring to determine the value generated and include impact analysis, data lineage, proactive monitoring, operational dashboards and business value.
• Experience performing:

• Master Data Management
• Metadata Management
• Data Management and Integration
• Systems Development Lifecycle (SDLC)
• Data Modeling Techniques and Methodologies
• Database Management
• Database Technical Design and Build
• Extract Transform & Load (ETL) Tools
• Cloud Data Architecture, Data Architecture Principle
• Online Analytical Processing (OLAP)
• Data Processes
• Data Architecture Principles
• Data Architecture Estimation

Mandatory skill sets:Master Data Management, ETL, Database ManagementPreferred skill sets:Master Data Management, ETL, Database ManagementYears of experience required:2-4 YearsEducation qualification:BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Database Management, Extract Transform Load (ETL), Master Data ManagementOptional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, 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, Inclusion, Industry Trend Analysis {+ 12 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date

PwC