Cyber R&R – ER&CS – Data Analytics – Associate

    Cyber R&R – ER&CS – Data Analytics – Associate | PwC (PricewaterhouseCoopers) | Bangalore / Hyderabad / Kolkata / Mumbai, India | 0–3 years experience | Full-Time | B.Tech/B.E or MCA | SQL, Python, Tableau, Power BI, Alteryx

    Summary:
    The Data Analytics Associate role within PwC’s Cyber Risk & Regulatory (R&R) practice focuses on delivering data-driven insights and technology consulting solutions to clients across industries. This position involves working with cross-functional and global teams to analyze complex datasets, support decision-making, and improve business processes. The role emphasizes data preparation, visualization, and stakeholder communication to address client challenges from strategy through execution. By leveraging analytics tools and methodologies, the Associate contributes to enhancing risk management, compliance, and operational efficiency for enterprise clients.

    Key Responsibilities:

    • Support clients by delivering technology consulting and data analytics solutions aligned with business requirements
    • Perform data analysis and generate actionable insights using SQL, Tableau, Power BI, and Excel
    • Prepare, cleanse, and transform raw datasets using tools such as Alteryx and Python for accurate analysis
    • Collaborate with global teams through regular meetings, providing updates and clarifying requirements with stakeholders
    • Translate business needs into technical solutions using appropriate data analytics and visualization tools
    • Develop dashboards and reports to communicate insights effectively to business and technical audiences
    • Ensure high-quality deliverables that meet client expectations and project standards
    • Participate in project lifecycle activities, including requirement gathering, analysis, and solution implementation
    • Maintain clear and effective communication through written reports, presentations, and stakeholder interactions
    • Continuously learn and adopt new technologies to enhance analytical capabilities and project outcomes

    Tools/Technologies Used:

    • Programming/Data Handling: SQL, Python, Excel
    • Frameworks/Libraries: pandas (Python-based data analysis)
    • Platforms: Enterprise data environments, cloud platforms (preferred exposure)
    • Tools: Tableau, Power BI, Alteryx, data visualization and ETL tools
    • Concepts: Data Analytics, ETL (Extract, Transform, Load), Data Cleansing, Data Visualization, Risk Analytics, Business Intelligence, Stakeholder Communication, Consulting Methodologies
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