Business Analyst (SQL & Excel) at Oliver Wyman, Hyderabad
About the job
Oliver Wyman is hiring a Business Analyst (SQL & Excel) for its Data and Analytics team in Hyderabad. The role needs at least 1 year of hands-on SQL and Excel experience and a bachelor’s degree in business, engineering, finance, economics or a related field.
You will build SQL queries, Excel models and data-driven insights for commercial and operational analytics projects. You will work closely with Senior Analysts and Lead Analysts. The role is hybrid, as per company policy.
Job Details
- Company: Oliver Wyman, a business of Marsh
- Role: Business Analyst (SQL & Excel)
- Team: Data and Analytics (OW DNA)
- Experience: 1+ years of hands-on SQL and Excel
- Salary: Not disclosed
- Work mode: Hybrid, as per company policy
- Office location: Kondapur Main Road, Laxmi Cyber City, Hyderabad 500081
- Category: Consulting
- Job ID: R_332336
What You’ll Do
- Write and run SQL queries to extract and clean data and prepare datasets for analysis.
- Build structured Excel models and reports that are easy to reuse and update.
- Read financial statements to understand revenue, cost and margin drivers.
- Help Senior Analysts create executive-ready presentations, dashboards and summaries.
- Validate datasets to keep KPIs consistent and data accurate.
- Join requirement discussions and turn them into clear analytical tasks.
- Document analytical logic, transformation rules and data definitions.
- Run ad-hoc analysis for operational and commercial decisions.
- Spot data issues early and raise risks with senior team members.
What You Need
- 1+ years of hands-on SQL and Excel experience. The employer calls this non-negotiable.
- Bachelor’s degree in Business, Engineering, Finance, Economics or a related field.
- Strong problem-solving skills and the ability to break complex problems into simple steps.
- Good business understanding and the ability to link data patterns to real situations.
- Ability to read basic financial statements (P&L, Balance Sheet, Cash Flow).
- Attention to detail in data cleaning, validation and reporting.
- Strong interpersonal skills and teamwork.
- Curiosity to learn new tools and concepts.
Preferred Profile
- Exposure to commercial or operations analytics in manufacturing.
Hybrid Work Policy
- Marsh states that colleagues are expected to work from their local office or client site at least 3 days a week.
- Office-based teams choose at least one anchor day a week when the full team is in the office.
How to Apply
- Check that you have 1+ years of hands-on SQL and Excel experience and a relevant bachelor’s degree.
- Use Apply on Original Source ↗ at the top of this job page and follow the application instructions.
Before You Apply
- Revise SQL querying, data cleaning and Excel modelling.
- Practise reading a P&L, Balance Sheet and Cash Flow statement.
- Prepare examples of how you turned a business question into an analysis.
Skills
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Job Details
About Oliver Wyman
Oliver Wyman is a management consulting firm and a business of Marsh. Its Data and Analytics team (OW DNA) is a centre of excellence for business and data analytics that supports Oliver Wyman consulting teams.
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JobsInHyd is a job discovery platform and is not the employer or recruiter for this position. Job details are sourced from the original application source and may change. Please verify the latest information before applying.
JobsInHyd does not guarantee hiring outcomes.Oliver Wyman is hiring a Business Analyst (SQL & Excel) for its Data and Analytics team in Hyderabad. The role needs at least 1 year of hands-on SQL and Excel experience and a bachelor’s degree in business, engineering, finance, economics or a related field.
You will build SQL queries, Excel models and data-driven insights for commercial and operational analytics projects. You will work closely with Senior Analysts and Lead Analysts. The role is hybrid, as per company policy.
Job Details
- Company: Oliver Wyman, a business of Marsh
- Role: Business Analyst (SQL & Excel)
- Team: Data and Analytics (OW DNA)
- Experience: 1+ years of hands-on SQL and Excel
- Salary: Not disclosed
- Work mode: Hybrid, as per company policy
- Office location: Kondapur Main Road, Laxmi Cyber City, Hyderabad 500081
- Category: Consulting
- Job ID: R_332336
What You’ll Do
- Write and run SQL queries to extract and clean data and prepare datasets for analysis.
- Build structured Excel models and reports that are easy to reuse and update.
- Read financial statements to understand revenue, cost and margin drivers.
- Help Senior Analysts create executive-ready presentations, dashboards and summaries.
- Validate datasets to keep KPIs consistent and data accurate.
- Join requirement discussions and turn them into clear analytical tasks.
- Document analytical logic, transformation rules and data definitions.
- Run ad-hoc analysis for operational and commercial decisions.
- Spot data issues early and raise risks with senior team members.
What You Need
- 1+ years of hands-on SQL and Excel experience. The employer calls this non-negotiable.
- Bachelor’s degree in Business, Engineering, Finance, Economics or a related field.
- Strong problem-solving skills and the ability to break complex problems into simple steps.
- Good business understanding and the ability to link data patterns to real situations.
- Ability to read basic financial statements (P&L, Balance Sheet, Cash Flow).
- Attention to detail in data cleaning, validation and reporting.
- Strong interpersonal skills and teamwork.
- Curiosity to learn new tools and concepts.
Preferred Profile
- Exposure to commercial or operations analytics in manufacturing.
Hybrid Work Policy
- Marsh states that colleagues are expected to work from their local office or client site at least 3 days a week.
- Office-based teams choose at least one anchor day a week when the full team is in the office.
How to Apply
- Check that you have 1+ years of hands-on SQL and Excel experience and a relevant bachelor’s degree.
- Use Apply on Original Source ↗ at the top of this job page and follow the application instructions.
Before You Apply
- Revise SQL querying, data cleaning and Excel modelling.
- Practise reading a P&L, Balance Sheet and Cash Flow statement.
- Prepare examples of how you turned a business question into an analysis.