IN_Senior Associate_MDM Consultant_Data & Analytics_Advisory_Bangalore

Advisory

Not Applicable

Data, Analytics & AI

Senior Associate

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 PWC

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 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 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 firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

· Collaborate with business stakeholders to understand Enterprise Hierarchy requirements and translate them into technical solutions using Profisee. · Design, develop, and implement MDM solutions using Profisee platform, including data modeling, entity design, and workflows. · Configure data quality rules and validation processes to ensure data accuracy and consistency. · Develop custom extensions, integrations, and automation scripts as needed to enhance Profisee functionality and meet business requirements. · Perform data profiling, cleansing, and standardization activities to improve data quality. · Provide technical support and troubleshooting assistance to users of the Profisee platform. · Collaborate with cross-functional teams to integrate Profisee Solution with other enterprise systems and applications. · Stay up to date with the latest trends and best practices in MDM and data management technologies. Requirements: · 4 years of experience working as a Developer or in a similar role, with a strong focus on MDM solutions. · Proficiency in designing and implementing MDM solutions using Profisee platform. · Hands-on experience with data modeling, entity design and workflows within Profisee. · Strong understanding of data quality concepts and experience implementing data quality rules and processes. · Experience with data integration, ETL tools, and database technologies. · Proficiency in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation. · Excellent analytical and problem-solving skills, with a keen attention to detail. · Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders

Mandatory skill sets:

Profisee Developer, MDM Solutions, ETL tools, Database technologies, SQL

Preferred skill sets:

Profisee Developer, MDM Solutions, ETL tools, Database technologies, SQL

Years of experience required:

4 to 8 years

Education qualification:

Graduate Engineer or Management Graduate

Degrees/Field of Study required: Bachelor of Engineering, Master Degree, Bachelor of Technology

Degrees/Field of Study preferred:

SAP Master Data Management

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 {+ 16 more}