Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
*Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
Job Description & Summary:
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
We are seeking a seasoned Technology Professional with strong data engineering and analytics expertise to drive enterprise-scale data initiatives. This role will focus on building reliable data pipelines, delivering real-time insights, and enabling business leaders with advanced, interactive visualizations that go beyond traditional reporting.
The ideal candidate will bridge the gap between complex technical systems and business decision-making, playing a critical role in translating data into actionable insights for workplace operations and site leadership.
Data Strategy & Delivery
Own end-to-end data initiatives, from requirement gathering and data sourcing to insight generation and executive-ready delivery.
Partner with business stakeholders to define analytical use cases, success metrics, and scalable data solutions.
Data Engineering & Analytics
Design, build, and maintain robust data pipelines to support analytics and reporting needs.
Develop high-quality SQL-based reports and analytical data models to ensure accuracy, consistency, and performance.
Apply statistical and analytical techniques to solve complex operational and business problems.
Real-Time Occupancy & Utilization Tracking
Manage ingestion and integration of data from:
Badge Readers / Access Control systems
IoT sensors for space utilization
HR systems and related enterprise platforms
Enable near real-time tracking and monitoring of workplace occupancy and utilization patterns.
Advanced Visualization & Decision Support
Create impactful dashboards that move beyond static spreadsheets.
Build interactive, scenario-driven “What-If” analysis tools that empower site leads and operational teams to test assumptions and make informed decisions.
Ensure insights are intuitive, actionable, and aligned to business needs.
Cross-Functional Collaboration
Work closely with engineering, IT, HR, facilities, and operations teams.
Translate complex technical concepts into clear, business-friendly narratives for non-technical stakeholders.
Act as a trusted data advisor, influencing decisions through evidence-based insights.
Experience
Minimum 7+ years of hands-on experience in:
Data analytics
Data engineering
Data Visualization
Advanced Analytics ex. What-of Scenario building
What Success Looks Like
Business leaders rely on your dashboards and insights to make critical workplace and operational decisions for one of the largest global Tech & AI organization
Real-time occupancy and utilization data is trusted, accurate, and actionable.
Complex datasets are transformed into clear stories that drive measurable outcomes.
Mandatory skill sets:
Required Technical Skills
Strong expertise in SQL for analytics and reporting - with Big Query / PLX
Solid understanding of data modeling concepts (logical and physical) for Business Intelligence
Proven ability in statistical analysis and problem-solving
Experience building and managing scalable data pipelines including real time API based and IoT Data ingestion
Preferred skill sets:
Hands-on experience with Business Intelligence and visualization tools such as:
Tableau
Google Data Studio
PLX (or similar platforms)
Exposure to IoT data, real-time analytics, or streaming data pipelines is a strong plus.
Curiosity-driven mindset with a passion for improving decision-making through data.
Working from client office- mostly - at Bangalore
Years of experience required:
7+ years
Education qualification:
BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
M,Tech, MBA, MCA (60% above)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
SAP (Inactive)
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
January 20, 2026