Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
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 decisionmaking and driving business growth In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions
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 purposeled and valuesdriven 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, pregcy, 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
A career within
s
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 rowlevel security (RLS), data goverce, 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 selfservice BI adoption and guide users in interpreting dashboards and using tools effectively Document dashboards, datasets, data models, and development processes for goverce and continuity
Mandatory skill sets
Proven handson 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
Degrees/Field of Study required Bachelor of Technology, Master of Business Administration
Degrees/Field of Study preferred
Required Skills
Microsoft Power Business Intelligence (BI)
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}
