Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. * Why PWCAt 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 usAt 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. "

& Summary: A career within….

Responsibilities:

Design, execute, and analyze A/B and multivariate experiments, ensuring statistical rigor and business relevance. Translate business and product questions into analytical plans, applying SQL and statistical tools to generate insights. Partner with product managers to define success metrics, build tracking plans, and ensure reliable data instrumentation. Analyze user journeys, product funnels, and behavioral patterns to uncover friction points and opportunities for growth or retention. Perform deep-dive analysis on feature adoption, conversion performance, and customer segments to inform roadmap decisions. Build and maintain dashboards and self-serve data tools using BI tools like Tableau, Looker, or Power BI to democratize insights. Collaborate with data engineers to validate data pipelines and ensure data integrity and consistency across platforms. Present findings to cross-functional stakeholders through clear storytelling, emphasizing actionable recommendations, and business impact.

Mandatory skill sets:

Advanced SQL proficiency: Ability to write complex queries involving joins, subqueries, window functions, Common Table Expressions (CTEs), and query optimization for performance tuning. • Experience with relational databases: Hands-on experience working with databases such as Microsoft SQL Server, Oracle, MySQL, or PostgreSQL. • Data analysis: Strong capability in data extraction, transformation, and interpretation to draw meaningful business insights. • Data validation and quality assurance: Demonstrated experience ensuring data accuracy, completeness, and consistency. • Report creation: Experience building automated reports and visualizations to communicate data findings effectively • Problem-solving mindset: Ability to independently analyze complex business problems using data. • Strong communication skills: Capable of translating technical data findings into clear, actionable recommendations for business stakeholders. • Business acumen: Understanding of industry or domain-specific metrics and KPIs to contextualize data insights. • Collaborative experience: Proven ability to work closely with cross-functional teams including business users, IT, and data engineering. • Attention to detail and accuracy: High standard for quality and precision in work output.

Preferred skill sets:

A/B Testing

Years of experience required

4-8 years

Education qualification:

B.Tech/M.Tech/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

POS Data Analysis

Optional Skills

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, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 1, 2026