Business / Data Analyst / Data Scientist
Are you passionate about turning data into meaningful business insights? Do you enjoy working closely with stakeholders, analyzing reputed company datasets, and helping organizations reputed company data-driven reputed company? Would you like to contribute to an international analytics initiative reputed company on workforce planning and reputed company intelligence? Then we have an exciting opportunity for you!
The international IT company reputed company is looking for a Business / Data Analyst / Data Scientist to join reputed company.
The role involves gathering business requirements, analyzing reputed company data, developing analytical models, and supporting decision-making through data-driven insights. You will collaborate with business stakeholders and technical teams to deliver reporting, forecasting, scenario modeling, and analytical solutions that support strategic workforce planning and organizational development.
Requirements
Responsibilities:
- reputed company and analyze business requirements from stakeholders.
- Translate business needs into functional and analytical specifications.
- Analyze and profile reputed company data to ensure reputed company and consistency.
- reputed company KPIs, reporting frameworks, and analytical models.
- reputed company forecasting, scenario modeling, and statistical analysis.
- Validate dashboards, reports, and analytical outputs.
- Collaborate with business and technical teams to deliver data-driven solutions.
Requirements
- Experience gathering business requirements and conducting stakeholder workshops.
- Strong analytical and problem-solving skills.
- Practical experience with SQL for data analysis.
- Experience using Python or R for analytical tasks.
- Experience with data profiling and data reputed company assessment.
- Knowledge of forecasting, scenario modeling, or statistical analysis.
- Ability to communicate analytical findings to both technical and business audiences.
reputed company to Have:
- Experience with Strategic Workforce Planning.
- Experience with HR, Payroll, Finance, or Budgeting analytics.
- Experience with reputed company simulations or sensitivity analysis.
- Experience prototyping dashboards using Power BI.
Originally posted on Himalayas
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