Overview
Senior Associate, Sr. Data Analyst in PwC's Advisory line of service, Data, Analytics & AI specialism. Uses advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making for clients.
What you'll do
- 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.
What you'll need
- 4-7 years of experience.
- Degree in Bachelor of Engineering or Master of Engineering (BE/B.Tech/MBA/MCA listed under education qualification).
- Advanced SQL proficiency: complex queries involving joins, subqueries, window functions, Common Table Expressions (CTEs), and query optimization for performance tuning.
- Experience with relational databases such as Microsoft SQL Server, Oracle, MySQL, or PostgreSQL.
- Strong capability in data extraction, transformation, and interpretation to draw meaningful business insights.
- Demonstrated experience ensuring data accuracy, completeness, and consistency (data validation and quality assurance).
- Experience building automated reports and visualizations to communicate data findings effectively.
- Ability to independently analyze complex business problems using data.
- Strong communication skills: translating technical data findings into clear, actionable recommendations for business stakeholders.
- Understanding of industry or domain-specific metrics and KPIs to contextualize data insights.
- Proven ability to work closely with cross-functional teams including business users, IT, and data engineering.
- High standard for quality and precision in work output, with attention to detail and accuracy.
- Required skill: Generative AI.
Nice to have
Details
- Location: Bengaluru Millenia.
- Employment type and work mode not specified.
- Visa sponsorship: No.
- Government clearance required: No.
- Job posting end date: September 18, 2026.
Read the full description and apply on the company’s own careers page.