Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
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In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Why PWC
& Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Job Position Title Senior Associate_ Data Analyst __Advisory Corporate_ Advisory _Bangalore
Responsibilities
Position Data Analyst / Senior Associate Experience 58 Years Location Bangalore Type Full Time Certifications NA About the Role We are on the lookout for a sharp, selfdriven Data Analyst with a strong command of SQL, Python, and relational databases. If solving complex data problems, building efficient data pipelines, and collaborating across teams excites you you ll thrive in this role. . Key Responsibilities Craft complex SQL queries and stored procedures for analytics and reporting. Build robust Python scripts for automation, file handling, data cleanup, and transformation using Pandas/NumPy. Design and manage scalable relational database schemas. Apply basic data modeling (star/snowflake) to support reporting needs. Optimize performance of queries and scripts on large datasets. Collaborate with crossfunctional teams to translate business needs into data solutions. Document processes for transparency and reuse. Required Skills Advanced SQL joins, window functions, stored procedures, tuning. Python scripting file I/O, string manipulation, exceptions, data wrangling. Solid grasp of relational DB design and performance optimization. Basic understanding of data modeling concepts. Sharp problemsolving and analytical thinking. Strong communicator with ability to engage stakeholders. Preferred Qualifications Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). Exposure to Big data platforms.
Familiarity with Git and CI/CD pipelines. Knowledge of ETL/ELT workflows.
Mandatory skill sets
Advanced SQL joins, window functions, stored procedures, tuning. Python scripting file I/O, string manipulation, exceptions, data wrangling. Solid grasp of relational DB design and performance optimization.
Preferred skill sets
Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). Exposure to Big data platforms.
Years of experience required
Experience 58 Years
Education qualification
B.Tech / M.Tech / MCA/MBA
Education
Degrees/Field of Study required Master of Engineering, Bachelor of Technology, Master of Business Administration
Degrees/Field of Study preferred
Required Skills
Structured Query Language (SQL)
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
Travel Requirements
Government Clearance Required?