To become a successful data analyst or financial analyst, you should acquire a combination of technical skills, domain knowledge, and soft skills. Here's a list of tools and skills that are valuable for both roles:

**Common Tools and Software for Data Analysts and Financial Analysts:**

1. **Microsoft Excel:** Proficiency in Excel is crucial for data manipulation, analysis, and financial modeling.

2. **SQL:** Understanding databases and being able to write SQL queries is essential for data retrieval.

3. **Programming Languages:** Knowledge of languages like Python or R can help in data analysis, visualization, and automation.

4. **Data Visualization Tools:** Tableau, Power BI, or Excel for creating meaningful visualizations.

5. **Statistical Analysis:** Understanding statistical concepts and using tools like SAS, SPSS, or Python libraries (NumPy, Pandas) for statistical analysis.

6. **Financial Modeling:** Mastery in building financial models using Excel and familiarity with financial modeling software.

7. **Business Intelligence (BI) Tools:** Understanding BI tools like QlikView, MicroStrategy, or Looker.

**Time Needed:**

The time required to become a financial analyst can vary depending on your starting point, educational background, and how quickly you can acquire the necessary skills. A bachelor's degree in finance, accounting, or a related field is often a starting point. Additionally, pursuing certifications such as CFA (Chartered Financial Analyst) or CFP (Certified Financial Planner) can enhance your credentials. It might take a few months to a few years to gain proficiency, depending on your dedication and the complexity of the skills you want to acquire.

**Average Salary:**

Salaries for financial analysts can vary based on factors like location, education, experience, and the industry. On average, entry-level financial analysts can expect a salary in the range of $50,000 to $70,000 per year. With experience and advanced certifications, salaries can go well beyond $100,000 annually.

It's important to note that the field of data analysis and financial analysis is dynamic, and continuous learning is key to staying relevant and advancing in your career. Building a strong foundation in the basics and gaining practical experience through internships or projects can significantly contribute to your success.

To excel as a data or financial analyst, it's crucial to be proficient in tools like Microsoft Excel, SQL, Python or R, and visualization tools like Tableau or Power BI for data analysis. Financial analysts should additionally familiarize themselves with financial modeling software, QuickBooks, Bloomberg Terminal, and ERP systems. The time needed to become a financial analyst varies based on your background, learning pace, and practical experience, typically spanning a few years. Entry-level salaries in the India for financial analysts average around 8 to 20LPA, with experienced professionals earning well above 30LPA, though actual figures depend on factors like location, industry, and individual qualifications.