Internal Firm Services - Administration - Data Analyst - Senior Associate

At PwC, our people in project portfolio management focus on optimising project portfolios to drive strategic business outcomes. These individuals oversee project selection, prioritisation, and resource allocation to facilitate successful project delivery. In project management at PwC, you will oversee and coordinate various projects to facilitate successful delivery within budget and timeline. You will leverage strong organisational and communication skills to effectively manage teams and stakeholders.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  
  

Job Title: Senior Associate -Data Analyst

Department: IFS - Administration

Reports To: Senior Manager – IFS- Administration

Location: Hyderabad

Employment Type: Full-Time

Job Summary

As a Data Analyst, you will play a key role in turning raw data into actionable insights that drive strategic business decisions. You will be responsible for the entire data lifecycle—from extraction and cleaning to visualization and reporting. You’ll work closely with cross-functional teams, including finance, and operations, to support business objectives through data-driven strategies.

Key Responsibilities

Data Collection & Management:

• Collect and manage data from internal systems, database, third-party sources, and surveys.
• Perform data wrangling and cleaning to ensure data quality, consistency, and
  
  

Accuracy.

• Maintain data documentation and ensure compliance with data governance
  
  

Policies.

• Develop monthly, quarterly, and annual reports for executive leadership, tailored to the needs of the department.
  
  

Data Analysis & Interpretation

• Analyze complex datasets to identify trends, anomalies, and business
  
  

Opportunities.

• Apply statistical methods and predictive models to uncover deeper insights.
  
  

Reporting & Visualization

• Build interactive dashboards and standard reports using BI tools like Tableau,
  
  

Power BI, or Looker.

• Provide regular and ad-hoc reports to stakeholders across business units.
• Translate data findings into concise and clear visual and verbal communication for
  
  

both technical and non-technical audiences.

• Design and develop automated and manual reports to track business performance, and operational metrics.
  
  

Communication Of Insights

• Present complex data insights clearly using data storytelling techniques.
• Prepare slide decks or written summaries to accompany reports, highlighting key takeaways, trends, and recommendations.
  
  

Qualifications

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field.

7-10 years of professional experience in data analysis or equivalent role.

Proven experience in PPT presentation for the mid/senior level management

Proficiency in SQL and data analysis tools (Excel, Alteryx, Python etc.)

Experience with data visualization tools (Tableau, Power BI, etc.)

Key Skills

Strong analytical and problem-solving skills.

Excellent communication and presentation abilities.

Attention to detail and a commitment to producing high-quality work.