Sanofi Treasury Accountant Interview Questions and Answers

Q1. About Past work and projects
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Q2. Skillsets used till now and any crucial project where I was stucked
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Q1. Basic screening and questions
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Q1. SAS Coding test with timer
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Q1. One on one round with manager
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Q1. About Career journey and pervious experience
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Excel based case study

Q1. How well you know about finance and accounting?
Ans. 
I have a strong understanding of finance and accounting principles.
• I have a Bachelor's degree in Finance and have completed several accounting courses.

• I have worked as a financial analyst for 5 years, analyzing financial statements and creating financial models.

• I am familiar with various accounting software such as QuickBooks and Excel.

• I have experience in budgeting, forecasting, and financial reporting.

• I stay updated ...read more
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Q2. Where you want to see yourself in next 5 years?
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Q1. Previous technical stack used
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Previous technical stack used includes Java, Spring Boot, Angular, and MySQL.
• Java

• Spring Boot

• Angular

• MySQL
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Q2. Reason for leaving old companies
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Seeking new challenges and growth opportunities
• Desire for career advancement

• Company restructuring

• Relocation

• Seeking better work-life balance
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Excel assignment on data crunching

Q1. Previous project experience
Ans. 
Managed multiple projects in data analysis, market research, and financial modeling.
• Led a team to analyze customer data and identify trends for a marketing campaign

• Conducted market research to assess competitor strategies and market opportunities

• Developed financial models to forecast revenue and expenses for a new product launch
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Q1. Salary expectations from new role
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I am looking for a competitive salary that reflects my experience and skills in the industry.
• Research industry standards for Senior Analyst salaries

• Consider my years of experience and level of expertise

• Factor in cost of living in the area where the job is located

• Negotiate based on benefits and perks offered by the company
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Q2. Joining date possible for new role
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Q1. Economic model application and outcomes
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Application of economic models to analyze and predict outcomes in various scenarios.
• Economic models are used to analyze the impact of different variables on economic outcomes.

• They help in predicting future trends and making informed decisions.

• Examples include supply and demand models, cost-benefit analysis, and macroeconomic forecasting.

• Outcome can vary based on assumptions and data inputs used in the model.
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Q2. Sensitivity analysis and interpretation of different plots.
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Sensitivity analysis involves examining how changes in input variables affect the output of a model. Interpretation of plots involves understanding trends and relationships in data visualization.
• Sensitivity analysis helps identify which input variables have the most impact on the output of a model.

• Interpretation of plots involves looking for patterns, trends, and relationships in the data.

• Examples of plots for sensitiv...read more
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Q3. Interpretation of CEAC cirves
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CEAC curves are used to interpret the performance of a classification model by plotting the true positive rate against the false positive rate.
• CEAC curves help in evaluating the trade-off between sensitivity and specificity of a model.

• The area under the CEAC curve can be used as a summary measure of the model's performance.

• CEAC curves are particularly useful when comparing multiple models or algorithms.

• Interpreting CEA...read more
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