analysis

Financial Analyst: Career Guide And Salary

The financial services industry is competitive and it can be tough to break into the field. If you’re interested in a career as a financial analyst, read on to find out what you can do to prepare yourself for the job.

What Is a Financial Analyst?

Financial analysts examine financial data and use their findings to help companies make business decisions. Often, their analysis is meant to inform the investing decisions of companies.

Financial analysts research macroeconomic and microeconomic conditions along with company fundamentals to make predictions about businesses, sectors, and industries. They also often recommend a course of action, such as buying or selling a company’s stock based upon its overall performance and outlook.

An analyst must be aware of current developments in the field in which they specialize, as well as in preparing financial models to predict future economic conditions for any number of variables.

Not all financial analysts analyze the stock or bond markets or help their employers make investments. Companies may also hire an analyst to use numerical data to pinpoint the efficacy of various marketing techniques relative to cost. Businesses that utilize the franchise model often have financial analysts who are responsible for tracking individual franchises or groups of franchises within a geographic region. The analysts determine where the strengths and weaknesses lie and make profit and loss forecasts.

Job Description – Basic Qualifications

1. 0-3+ years of business finance or other relevant experience

2. High proficiency in financial modeling techniques

3. Strong fluency with Excel formulas and functions

4. BA, BS, or B.Com degree required (Bachelor’s Degree in

5. Accounting/Finance/Economics)

6. Strong analytical and data gathering skills

7. Good business acumen

Job Description – Preferred Qualifications

1. 3-5+ years of business finance or other relevant experience

2. MBAs are preferred

3. Finance, Accounting, Economics, or Statistics are preferred major fields

4. Proven work experience in a quantitatively-heavy role

5. FMVA or similar designations preferred

6. Strong quantitative and analytical competency

7. Self-starter with excellent interpersonal communication and problem-solving skills

8. Advanced knowledge of Excel

Job Description – Personality and Interpersonal Skills

1. Ability to streamline functions and passion to learn and grow

2. Strong interpersonal skills, including written and oral communication skills

3. Comfort dealing with ambiguity and the ability to work independently

4. Experience working with, and presenting to, senior executives

5. Excellent communication and presentation skills; be comfortable interacting with executive-level management

6. Strong financial modeling experience

Work Environment for Financial Analysts

The largest employers of financial analysts are as follows:

Securities, commodity contracts, and other financial investments and related activities18%
Credit intermediation and related activities15%
Professional, scientific, and technical services12%
Management of companies and enterprises11%
Insurance carriers and related activities6%

Financial analysts work primarily in offices but travel frequently to visit companies or clients.

Financial Analyst Salaries

The median annual wages for financial analysts in the top industries in which they work are as follows:

Securities, commodity contracts, and other financial investments and related activities$101,410
Professional, scientific, and technical services$84,540
Management of companies and enterprises$83,640
Credit intermediation and related activities$81,420
Insurance carriers and related activities$78,870

Fund managers are typically compensated by fees, usually structured as a percentage of assets under management and a percentage of the fund’s annual return.

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Best Statistical Analysis Software

Statistical software is a specialized computer program which helps you to collect, organize, analyze, interpret and statistically design data. There are two main statistical techniques which help in statistical data analysis: descriptive statistics and inferential statistics.

Descriptive statistics organize data from a sample using indexes. Inferential statistics draw a conclusion from data that is a random variant. Statistics are crucial for organizations. They provide factual data which is critical in detecting trends in the marketplace so that businesses can compare their performance against their competitors. These are the best statistical analysis software:

1. SPSS (IBM)

SPSS, (Statistical Package for the Social Sciences) is perhaps the most widely used statistical software package in human behaviour research. SPSS offers the ability to easily compile descriptive statistics, parametric and non-parametric analyses, as well as graphical depictions of results through the graphical user interface (GUI). It also includes the option to create scripts to automate analysis or to carry out more advanced statistical processing.

2.RStudio

The primary mission of RStudio is to build a sustainable open-source business that creates software for data science and statistical computing. You may have already heard of some of our work, such as the RStudio IDE, Rmark down, shiny, and many packages in the tidy verse. Our open-source projects are supported by our commercial products that help teams of R users work together effectively, share computing resources, and publish their results to decision-makers within the organization. 

3. Stata

Stata: Software for Statistics and Data Science

Stata puts hundreds of statistical tools at your fingertips. For data management, statistical analysis, and publication-quality graphics, Stata has you covered.

4. OriginPro

Origin is a user-friendly and easy-to-learn software application that provides data analysis and publication-quality graphing capabilities tailored to the needs of scientists and engineers. OriginPro offers extended analysis tools for Peak Fitting, Surface Fitting, Statistics, Signal Processing and Image Handling. Users can customize operations such as importing, graphing and analysis, all from the GUI. Graphs, analysis results and reports update automatically when data or parameters change. 

5. Microsoft Excel

microsoft excel

While not a cutting-edge solution for statistical analysis, MS Excel does offer a wide variety of tools for data visualization and simple statistics. It’s simple to generate summary metrics and customizable graphics and figures, making it a useful tool for many who want to see the basics of their data. As many individuals and companies both own and know how to use Excel, it also makes it an accessible option for those looking to get started with statistics.

Have you read this: Data Science: Free Online Courses For 2020

6. SAS Base

SAS BASE

SAS Base is a programming language software that provides a web-based programming interface; ready-to-use programs for data manipulation, information storage and retrieval, descriptive statistics and reporting; a centralized metadata repository; and a macro facility that reduces programming time and maintenance headaches.

7. MATLAB

Matlab

MatLab is an analytical platform and programming language that is widely used by engineers and scientists. As with R, the learning path is steep, and you will be required to create your own code at some point. A plentiful amount of toolboxes are also available to help answer your research questions (such as EEGLab for analysing EEG data). While MatLab can be difficult to use for novices, it offers a massive amount of flexibility in terms of what you want to do as long as you can code it.

8. Analyse-it

Analyse-it

Analyse-it is a statistical analysis software that includes hypothesis testing, model fitting, ANOVA, PCA, statistical process control (SPC) and quality improvement, and analytical and diagnostic method validation for laboratories to meet regulatory compliance.

9. GraphPad Prism

GraphPad Prism

GraphPad Prism is premium software primarily used within statistics related to biology but offers a range of capabilities that can be used across various fields. Similar to SPSS, scripting options are available to automate analyses, or carry out more complex statistical calculations, but the majority of the work can be completed through the GUI.

10. Minitab

Minitab

The Minitab software offers a range of both basic and fairly advanced statistical tools for data analysis. Similar to GraphPad Prism, commands can be executed through both the GUI and scripted commands, making it accessible to novices as well as users looking to carry out more complex analyses.