Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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. "
Job Description & Summary: A career within….
Responsibilities:
· Develop interactive dashboards and visualizations using Power BI and Tableau, ensuring high usability and performance. · Gather business requirements and translate them into scalable BI solutions and reporting frameworks. · Build and optimize semantic models, data transformations, and DAX calculations in Power BI. · Create Tableau workbooks, calculated fields, parameters, LOD expressions, and published dashboards to Tableau Server/Cloud. · Integrate data from multiple sources including SQL databases, cloud storage, APIs, spreadsheets, and enterprise systems. · Implement row-level security (RLS), data governance, and best practices around BI deployment. · Collaborate with business users, analysts, and technical teams to ensure report accuracy and alignment with business KPIs. · Troubleshoot visualizations, data ingestion issues, and performance bottlenecks. · Support self-service BI adoption and guide users in interpreting dashboards and using tools effectively. · Document dashboards, datasets, data models, and development processes for governance and continuity.
Mandatory skill sets:
· Proven hands-on expertise in Power BI (Power Query/M, DAX, Data modelling) and Tableau (calculated fields, LOD expressions, Tableau Prep/Tableau Cloud). · Strong skills in SQL for data extraction, transformation, and validation. · Familiarity with ETL concepts, data warehousing, and data modelling (Star Schema, Snowflake, Fact/Dimension concepts). · Experience working with enterprise BI environments, workspace management, and permissions handling. · Knowledge of cloud analytics platforms such as Azure, AWS, GCP, or Snowflake is an advantage.
Preferred skill sets:
Power BI and Tableau
Years of experience required:
4 – 7 yrs
Education qualification: Btech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
BI PlatformsOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date