Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

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 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:

The DQ SME has to strategize, asses, define, manage and implements initiatives to improve data quality programs within an enterprise. Should leverage analytic and functional skills to innovate, build and maintain well managed data solutions and capabilities to tackle business problems. This role will include;

· Evaluate data management, data quality and data access processes for gaps, inefficiencies and opportunities; provide recommendations for improvement

· Responsible for data quality and data accuracy across all delivery initiatives

· Responsible for defining standards and best practices for data analysis, modeling, and queries

· Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management

· Should provide leadership on the data quality improvement initiatives by leading combined teams of technical, business and quality analysts

· Should have experience in implementing solutions and processes for management and governance across data quality metrics, metadata, lineage, data access rights and business definitions

· Should document and maintain data dictionary , data quality definitions and usage at the concept and data element level on Enterprise Data Warehouse

· Responsible to exert influence and oversee input processes that feed system ensure consistent inputs in compliance with standards and policies

· Act as an SME during design and implementation of data quality activities using right set to tools, technologies, processes, frameworks and methodologies

· Should be well versed with DQ KPIs and be able to define, implement, monitor and report DQ related KPIs and metrics within the organization

Qualifications:

· 2-3 years of experience of working as a technical onsultant in the field of data governance/data quality

· Should have a tool agnostic point-of-view on data quality implementations programs and ability to recommend a best practice tool as per client situations and scope of work

· Expert hands-on experience on at least 1-2 leading data quality tools (IBM, Informatica, SAS, Talend, Syncsort, etc.)

· Sound knowledge on end to end data governance framework and best practices

· Hands on experience on data integration and BI tool is preferred

· At-least two large scale data driven project as a DQ Architect/SME is mandatory

· Proficient knowledge on financial service industry domain and related products

· Knowledge of banking procedures and policies specifically regulatory and security/access compliances

· Effective communication, stakeholder management and inter-personal skills

· Should have exceptional organizational skills, with the ability to handle complex projects in a multi-tasking and multi-client environment and meet deadlines while delivering high quality results

Mandatory skill sets:

Data Quality

Preferred skill sets:

Data Quality

Years of experience required:

4 - 7 yrs

Education qualification:

Btech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Quality

Optional 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 {+ 16 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date