
Data and Analytics Manager
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
EY is seeking a skilled Data and Analytics Manager in Gurgaon, Haryana, India. This role is within the Strategic Pricing & Insights (SPI) group, which drives commercial transformation by optimizing pricing, architecting commercial structures, and integrating market intelligence.
As an Assistant Director within the Pricing & Contract Management team, you will lead data-driven decision-making in a global pricing and commercial strategy environment. You will transform complex datasets into actionable insights to support key business objectives. The position involves business analysis, requirements gathering, data modeling, solution design, and visualization using modern tools. You will also maintain and enhance existing analytics solutions, ensure data accuracy, and optimize workflows. Strong communication skills are essential for presenting findings to both technical and non-technical stakeholders.
Key responsibilities include leading data analytics initiatives for commercial pricing strategies, optimizing core data processes, analyzing global EY data for trends and insights, collaborating with global teams, performing data cleaning and statistical analysis, developing and maintaining reports and dashboards using Excel and Power BI, identifying process improvements, and communicating complex findings effectively. You will also strengthen analytical capabilities to support commercial deals and enhance client engagement outcomes.
Skills and attributes for success:
- Proven experience as a data analyst, business analyst, data engineer, or similar role.
- Strong analytical skills with the ability to collect, organize, analyze, and present large datasets accurately.
- Foundational knowledge of statistics (distributions, variance, correlation).
- Skilled in documenting processes and presenting findings to diverse audiences.
- Hands-on experience with Power BI for analytics solution design and development.
- Proficiency in Python and SQL, including strong programming and scripting skills.
- Skilled in using Pandas, T-SQL, and Power Query M for data manipulation.
- Experience with data modeling for OLTP and OLAP systems.
- Strong visualization skills using Power BI and Python libraries (Matplotlib, Seaborn).
- Experience in defining and designing KPIs and aligning data insights with business goals.
To qualify for the role, you must have:
- 8+ years of experience in data analysis, data engineering, or a related field, preferably within professional services.
- A bachelor’s degree in a STEM field relevant to data analysis, data engineering, or data science (e.g., computer science, statistics, data analytics, AI, operations research, econometrics).
Ideally, you’ll also have:
- Strong pursuit management, relationship management, executive presence, and influencing skills.
- Excellent communication, facilitation, relationship-building, presentation, and negotiation skills.
- High proficiency in collaboration, managing conflicting interests, and dealing with ambiguity.
- Flexibility, adaptability, and creativity.
- Strong leadership skills and supervisory responsibility.
- Ability to travel.
Technologies and Tools:
- SQL
- MS Azure
- PowerBI or equivalent Visualization tool
- Python
- Alteryx
EY is committed to building a better working world by creating new value for clients, people, society, and the planet. Enabled by data, AI, and advanced technology, EY teams help clients shape the future with confidence and address pressing issues. We offer services across assurance, consulting, tax, strategy, and transactions in over 150 countries and territories.
Company
EY
EY is a global leader committed to shaping a better working world. We foster a confident future by empowering diverse teams and supporting career growth across a globally connected organization. Join ...