Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.*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:
Expert knowledge in Data visualization tool – Qliksense
• Extensive experience in Qlik Sense development and administration, including the implementation of On-Premises architecture, N-Printing, and Alerting
• Design, develop, and maintain Qlik Sense reports, dashboards, and applications tailored for both internal and external users, with a focus on Executive and Leadership use cases
• Take an active role in gathering requirements from product owners, and internal analysts to translate them into effective Qlik Sense solutions
• Expert knowledge on Business intelligence, Data Modeling, and Data Warehousing
• Collaborate effectively with technical/business leaders, product owners, data engineers, data architects, and data analysts to gather and comprehend requirements and acceptance criteria
• Expert experience in building BI data models, data security, data Governance, data integrations, data preparations, and knowledge of traditional Data warehouses and Data Marts
• Expert knowledge of authoring/troubleshooting SQL queries
• Expert knowledge and application of general and tool specific connectivity, data modeling, source data procurement strategies (Database, import/cached), security configuration, performance tuning, usage of right visuals, layout optimization, mobility, scripting and integrating advanced analytics into visualization tools
• Business & Data analysis , Trading concepts (Market Risk)
• Knowledge of upcoming trends in tools and technology
• Familiarity with user-centered design and testing methodologies and usability and accessibility concerns.
Mandatory skill sets:
Business & Data analysis , Trading concepts (Market Risk)
Knowledge of upcoming trends in tools and technology
Familiarity with user-centered design and testing methodologies and usability and accessibility concerns.
Preferred skill sets:
Business & Data analysis , Trading concepts (Market Risk)
Knowledge of upcoming trends in tools and technology
Familiarity with user-centered design and testing methodologies and usability and accessibility concerns.
Years of experience required:
8 to 12 Years
Education qualification:
B.E/B.Tech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
QlikViewOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 23 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date