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About this Cyber R&R - ER&CS - Data Analytics - Senior Associate - HYD/BLR/KOL/GUR role at PwC

PwC · Onsite · Kolkata (AC) - Bangalore Quay - Bagmane Tech Park (KSDC)

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Data Analytics Senior Associate you will help clients develop analytics and technology solutions that support risk detection, monitoring, and prediction, while contributing to data strategies, analytical modeling, systems assessment, dashboard development, and tools for ongoing data monitoring within our Risk Assurance Compliance and Analytics services practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, review the work of others, and build meaningful client connections while developing your business context, technical skills, and personal brand.

In this role at PwC, you will support client service work that turns data into actionable insight, using advanced technology, data governance, and analytical methods to help leaders make more informed decisions. You will also bring structure to unstructured issues, use feedback to develop self-awareness, and communicate in a clear, straightforward way as you guide junior team members and respond to shifting priorities.

Responsibilities

- Analyzing client data to identify risk patterns, control gaps, and emerging trends
- Developing dashboards, reports, and monitoring tools that translate data into actionable insights
- Building data strategies and analytical models that support risk and regulatory reporting needs
- Assessing systems and data sources to identify issues in data quality, completeness, and consistency
- Applying Python, Power BI, Tableau, and SQL-based tools to prepare, transform, and visualize data
- Interpreting complex information sets and structuring findings into clear recommendations for client teams
- Reviewing deliverables for accuracy, relevance, and alignment with project requirements
- Supporting continuous data monitoring activities and refining analytics workflows to improve efficiency
- Guiding junior team members through technical tasks and sharing methods for solving unstructured problems
- Building client relationships by adapting communication to different audiences and needs

What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English required

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 analytics experience in risk and regulatory settings
- Applying advanced SQL, Python, or Power BI to uncover insights from complex datasets
- Reviewing analytical outputs for accuracy, relevance, and business context
- Coaching junior team members while managing multiple workstreams

Travel Requirements

Up to 20%

Job Posting End Date

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About PwC

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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