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The sexiest job title of the 21st century goes to data scientists. The Harvard Business Review made this statement, and now it is proven true as well. The huge data sets are no less than treasures. The information is valuable for scaling any business to new heights. So are data scientists, they manage and get insights from raw data sets to support businesses and organizations. If you have a finance degree along with data science certification, you can take up the role of Business Analyst. Business analysts ponder over the data sets to gain insights and help the businesses grow. Most companies require business analysts to analyze their data sets and help them with improvements and business opportunities.
Data science learners can work in different positions like Data Analysts, Data Engineers, Data Scientists, Marketing Analysts, Business Intelligence Analysts, and many more. You need to have technical skills that include knowing programming languages, MS Excel, statistics, etc.
The best thing about data science is that you can kickstart your career with certification courses. These courses can be done from top data science learning platforms like Springboard, Georgia Tech, Coursera, or even YouTube. Yes! You read it right, YouTube is a hub of data science learning materials and resources. Hop on to our other articles to find out the best match for yourself.
Data Science has a plethora of job opportunities and financial analysts are most sought after to help businesses grow. The high demand for data scientists and a limited number of data science professionals makes it a higher paying job and comes with superb perks. Let’s go through some worthwhile in-demand data science and finance analyst opportunities:
Financial Data Scientist
Data Scientists master the art of collecting data, processing them, and gaining insightful knowledge from those enormous data sets. They have stronger technical skills as they need to do more complex tasks with data.
Data scientists play a more lively role in any organization. Someday she might be wrangling data sets while on the next making sense from unstructured data.
Skill Set includes
- Knowledge of machine learning, algorithms, and statistics.
- Programming languages like Python, R, SQL and Hive.
- Communication skills
- Data management, data wrangling.
Data Science witnessed a growth hike of 650% since 2012 as reported by LinkedIn. Nearly all the jobs in the future will require tasks related to data. The U.S. Bureau of Labor Statistics predicts a 28% increase in data science jobs through 2026. As reported on Glassdoor, the average salary of a Data Scientist position in the United States is $1,15,566 per year.
Data Engineers play the role of backbone for data sets in big organizations. They build, manage and integrate data from different sources. Data Engineers help businesses make decisions by identifying trends and gather insights.
- Building and managing data sets.
- Knowledge of tools like Bigtable, Agile, and Bigdata.
- Programming languages- R, Python, SQL, Java
The Dice 2020 Tech Job Report predicted a 50% growth in data engineering every year. As per Payscale, the average salary of data engineers stands at $92,568 per annum.
Data Analysts are professionals who visualize, process and model massive amounts of data sets to get useful insights for improving businesses from trends. They use certain tools and perform queries on data sets to analyze data and evaluate them.
Data Analysts present conclusions after analyzing data sets and help in enhancing product quality, record keeping, and business.
- SQL, MS Excel, R, or Python
- Statistical programming, data visualization
- Machine learning,
- Presentation skills
- Exploratory Data Analysis
The limited number of data analyst professionals makes data analysts a worthwhile job role. It comes with magnificent salary packages and perks. The average salary in the USA for a data analyst is $68,059 per annum as reported by Indeed.
Statisticians deal with enormous data sets. As the name suggests, their role is to extract valuable data insights to help create new methods to solve real world problems. They use statistical methods to interpret databases and give business strategies.
- Theoretical and applied statistics
- Machine learning
- Programming languages like R, C++, Python, Java
- Pig, Hive, Big data, etc., Hadoop based analytics tools.
- Mathematics, including calculus, probability, and linear algebra.
- Cloud computing
As per the U.S. Bureau of Labor Statistics, statisticians are expected to see a growth of 33% from 2019 to 2029. Statisticians generally get a high payout. As stated on Indeed, the average salary package for statisticians is $96,613 per year in the USA.
Machine Learning Engineer
Machine Learning is crucial for building robots, and AI enabled tools. All those apps on your phone require machine learning!
It is the job of the future and if you can meet the needs, then ML should be your go to choice. They need deep knowledge of tools like SQL, APIs, JS, A/B testing, etc. As a machine learning professional you will be designing machine learning systems, researching and implementing algorithms, representing and verifying data sets, identifying trends, etc.
- Mathematics includes probability, calculus, and statistics.
- Software engineering
- Machine learning algorithms
- Data modeling
According to the esteemed job site Indeed, the machine learning field has seen a massive growth of 344% from last year. Being a high demand position, machine learning experts receive higher salary packages. Reports suggest the average salary of a machine learning expert is $146,085 per annum.
Business analysts perceive data sets with a business outlook. They analyze data sets to come up with solutions to enhance and help businesses grow. You need to have better communication skills as one of the main tasks is to interpret the data and provide solutions to clients or businesses. If you have a finance degree, then it serves as a cherry on the cake for business analyst roles.
- Data Modelling
- Data Visualization
- Statistical analysis
- Financial management
- Communication skills
- Analytical skills
- Negotiation skills
Business Analysts will always be in demand due to the rise of data usage in businesses. Business analysts can walk further to become business consultants, IT Business Analysts, Project management directors, chief operating officers, and many more. The average payout for a Business Analyst is $74,221 per year, according to the leading job website Indeed.
A financial analyst focuses on the financial aspects of a business with the help of data. They ponder over data bases to help their clients or company grow. They work upon the macro and microeconomic along with a company to make predictions for growth and improvements in business, industries and sectors.
- Proficiency in Spreadsheets, PowerPoint presentations
- Knowledge of Software applications
- Good communication skills and people skill.
- SQL, Python, R- any suitable programming language
Financial analysts grow up to become investment bankers, commercial banking experts, or managers and directors. The U.S Bureau of Labor Statistics suggests that the average salary for a financial analyst is $83,660 per year. The job is witnessing great demand in the present and future as well.
Data science and Finance both are highly sought after professions. And, having both the skills together is not less than a jackpot. You will get the opportunity to get placed in top recruiting companies like Google, Amazon, Facebook, EY, Infosys, and many others. Though the professionals are always on their toes since they play a crucial role in any company. If you have a passion for data science and want to take major roles in businesses then give the duo a chance. Get your certification and apply to the desired companies.