Role & responsibilities

- Analyzing client data sets using SQL and data analysis tools to identify trends, patterns, and anomalies

- Developing and maintaining data models, queries, and validation checks to support recurring reporting and insights

- Translating business questions into analytical approaches that clarify assumptions, variables, and data sources

- Creating visualizations and dashboards in tools such as Power BI or Tableau to communicate findings clearly

- Performing data preparation, cleansing, and integration tasks across structured sources to improve consistency and usability

- Interpreting analytical results and drafting concise summaries that support decision-making and next-step planning

- Applying statistical techniques and scenario analysis to assess outcomes and highlight key drivers

- Collaborating with client teams and internal stakeholders to clarify requirements, review outputs, and adjust workstreams

- Mentoring junior team members on analytical methods, data handling,



and deliverable development

- Upholding skilled and technical standards while delivering work across multiple priorities and shifting client needs

What Sets You Apart

- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance

- At least one of the following: A Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)

- Demonstrating client-facing data analysis within complex engagement settings

- Applying SQL to interpret data and inform recommendations

- Using Power BI, Python, or SAS for dashboards and modeling

- Anticipating team needs while mentoring junior team members

📌 Data Analysis - SQL + Core Domain Data skills - Senior Associate (Bengaluru)
🏢 PwC
📍 Bengaluru