Cyber R&R - ER&CS - Data Analytics - Senior Associate - HYD/BLR/KOL/GUR

PwC Acceleration Center India

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

9 hours ago
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Job summary

PwC Acceleration Center India is seeking an analytically minded professional to develop data analytics solutions for risk detection and decision support. You will design data strategies, build dashboards with Power BI and Tableau, and mentor junior staff while ensuring data integrity and security across analytics frameworks.

The role requires 2+ years of experience, a Bachelor's degree, and strong SQL/Python skills.

Qualifications

  • Bachelor's degree required.
  • Minimum 2 years of experience in data analytics or related field.
  • Proficient in English (oral and written).
  • Strong SQL and Python proficiency.

Responsibilities

  • Developing and implementing data analytics solutions to support risk detection and monitoring
  • Utilizing advanced technology to establish controls and processes for accurate decision-making
  • Collaborating with clients to design data strategies and analytical models
  • Conducting complex data analysis to provide insights and recommendations
  • Building dashboards and tools for continuous data monitoring and governance
  • Leveraging tools like Alteryx and Power BI for data integration and visualization
  • Confirming data integrity and security within analytics frameworks
  • Mentoring junior team members in data analysis techniques and methodologies
  • Analyzing industry trends to inform client strategies and solutions
  • Reviewing and validating the quality and accuracy of data-driven deliverables

Skills

English
SQL
Python
Power BI
Alteryx
Tableau
MS SQL

Education

Bachelor's degree

Tools

Power BI
Alteryx
Tableau

Job description

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.

Responsibilities
  • Developing and implementing data analytics solutions to support risk detection and monitoring
  • Utilizing advanced technology to establish controls and processes for accurate decision-making
  • Collaborating with clients to design data strategies and analytical models
  • Conducting complex data analysis to provide insights and recommendations
  • Building dashboards and tools for continuous data monitoring and governance
  • Leveraging tools like Alteryx and Power BI for data integration and visualization
  • Confirming data integrity and security within analytics frameworks
  • Mentoring junior team members in data analysis techniques and methodologies
  • Analyzing industry trends to inform client strategies and solutions
  • Reviewing and validating the quality and accuracy of data-driven deliverables
What You Must Have
  • At least a Bachelor's degree
  • At least 2 years of experience
  • Oral and written proficiency in English required
  • Must demonstrate basic SQL/Python proficiency
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 proficiency in data analysis and visualization tools like Tableau and Power BI
  • Utilizing advanced statistical modeling techniques to derive actionable insights
  • Excelling in complex data analysis and algorithm development for strategic decision-making
  • Developing and implementing data quality improvement plans (DQIP) for enhanced data integrity
  • Navigating ambiguity and adapting to changing environments to deliver client-focused solutions
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