Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
& Summary
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In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
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 purposeled and valuesdriven 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 .
& Summary PwC India is seeking talented Business Analysts and Data Analysts to join our Business Analytics team. The ideal candidates will have strong analytical skills, a keen eye for detail, and the ability to translate data into actionable insights. You will work closely with stakeholders to understand their needs and provide datadriven solutions to enhance business performance.
Responsibilities
Business Analyst Responsibilities Analyze solutions through the lens of client requirement metrics as well as business domain. Engage with leadership and diversified stakeholder groups to understand their analytical needs and recommend Business Intelligence solutions. Own the design, development, and maintenance of ongoing performance metrics, reports, analyses, dashboards, etc., to drive key business decisions. Work with data engineering, machine learning, and software development teams to enable the appropriate capture and storage of key data points. Conduct written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication. Execute quantitative analysis that translates data into actionable insights. Influence new opportunities for business based on internal and external data. Lead requirement and functional discussions/workshops with customers. Document requirements, review QA test cases, and conduct functional testing. Review UX designs to verify conformance to requirements. Coordinate with different teams for obtaining planning inputs in time and ensure plans are aligned/agreed with stakeholders before set timelines. Support business decisions by formulating hypotheses, structuring the problem, analyzing relevant data to verify hypotheses, and preparing documentation to communicate the results. Act as a liaison between the business client and technical team by planning, conducting, and directing the analysis of complex business problems. Support client s organizational transformation goals by understanding the current operational state, future state, and business values; helping to define and drive business solutions to meet the transformation goals. Lead requirements elicitation sessions to understand business problems and determine the gaps between requirements and product functionalities, defining workable solutions to bridge the gaps. Be part of a scrum team and help the Product Owner in Sprint Prioritization. Engage at the presales stage to ensure the business drivers are understood and that the solutions proposed are targeted to help meet business value/KPIs indicated. Drive and help execute strategy by understanding the best mix of technologies and platforms and ensuring successful solution platform adoption by working closely with enterprise customers. Data Analyst Responsibilities Collect, clean, and validate data from multiple sources to ensure data integrity and accuracy. Analyze large datasets to identify trends, patterns, and insights that can drive business growth.
Develop and maintain dashboards, reports, and visualizations to communicate findings to stakeholders. Perform statistical analysis and predictive modeling to support business initiatives. Utilize data analytics tools and techniques to automate data processes and improve efficiency. Document data processes, methodologies, and findings for future reference. Design, develop, and maintain scaled, automated, userfriendly systems, reports, dashboards, etc., that will support our business needs. Dive deep to fully understand the ETL pipelines, report architecture, and metric definitions. Partner with operations/business teams to consult, develop, and implement KPIs, automated reporting/process solutions, and process improvements to meet business needs.
Mandatory skill sets
Expertise in SQL, Advanced Excel, PowerPoint, and other scripting languages (R, Python, etc.). Working experience with BI tools (Power BI, Tableau, QlikView, etc.). Ability to break down any problem into components that can be collaboratively solved. Experience in analyzing very large, complex, multidimensional data sets. Resultoriented and ownershipdriven, able to endtoend own a process/project with strong attention to detail. Superior project management abilities and initiative to lead assignments with minimal guidance
Preferred skill sets
Highlymotivated problemsolvers who possess intellectual curiosity, a readiness to tackle challenges, and qualitative analytical skills. Strong analytical and problemsolving skills. Excellent communication and interpersonal skills. Proficiency in business analysis tools and methodologies (for BA role). Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS (for DA role). Experience with data visualization tools such as Tableau, Power BI, or similar. Strong proficiency in Microsoft Office Suite (Excel, PowerPoint, Word). Experience with project management and Agile methodologies is a plus. Ability to work independently and as part of a team Bachelor s degree in business administration, Finance, Economics, Computer Science, Statistics, Mathematics, or a related field. A master s degree is a plus.
Years of experience
required
Minimum of 5+ years of relevant work experience in a Business Analyst, Data Analyst, or similar role.
Education qualification
B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.)
Education
Degrees/Field of Study required Bachelor of Technology
Degrees/Field of Study preferred
Required Skills
Business Analysis
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
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