Financial Analyst
Solenis
Date: 4 days ago
City: Hyderabad, Telangana
Contract type: Full time

Skills
This position will be part of the Global Analytics Hub within FP&A. Leverage data analytics and data mining skills to deliver insights for the commercial organization that drive revenue increase, profitability improvement and margin expansion globally. Reporting to Analytics manager, the analyst will be responsible and accountable for all quantitative analysis in the areas below:
Creating analytical models
This position will be part of the Global Analytics Hub within FP&A. Leverage data analytics and data mining skills to deliver insights for the commercial organization that drive revenue increase, profitability improvement and margin expansion globally. Reporting to Analytics manager, the analyst will be responsible and accountable for all quantitative analysis in the areas below:
Creating analytical models
- Understand the business objectives, work with Lead to structure the model and deliver outputs which focus on areas like
- Price / Product portfolio optimization
- Identification of profit increase opportunities: price change, Cost reduction, product mix change etc.
- Price / PPV / Pipeline forecasting
- Price leakage, elasticity, variance analysis
- Automate the analytical models leveraging R/Python/SQL or other tools such as Power Automate / KNIME.
- Performance monitoring and reporting
- Create automated dashboards for functional stakeholders, regional / global leaders and CXOs. Perform analysis for regular reporting of organizational performance (pricing, product, procurement etc.)
- Bachelor’s degree in Engineering. MS or Certificate courses in analytics preferred.
- 0-2 years of relevant quantitative analytics experience (hands-on or via projects).
- Knowledge of advanced analytics methods and ability to analyze data
- Strong knowledge and experience of analytical tools like R, SQL, Excel, Tableau, Python.
- Strong online collaboration capabilities – voice, video and web conferencing, instant messaging and other tools.
- Understanding of data science principles and machine learning
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