From interest rates to portfolio performance to underwriting, financial services is an industry built on data. It should be no surprise that banks, hedge funds, and insurance companies are one of the world¡¯s biggest employers of data analysts and data scientists.
There are many reasons financial services companies invest in data analysis to improve their business. On one hand, they need to mitigate risk. By analyzing the past performance of loans and portfolios, they can make better decisions about future pricing and which investments they should keep or sell.
Fraud is also a huge issue, responsible forFinancial Analyst From interest rates to portfolio performance to underwriting, financial services is an industry built on data. It should be no surprise that banks, hedge funds, and insurance companies are one of the world¡¯s biggest employers of data analysts and data scientists. There are many reasons financial services companies invest in data analysis to improve their business. On one hand, they need to mitigate risk. By analyzing the past performance of loans and portfolios, they can make better decisions about future pricing and which investments they should keep or sell. Fraud is also a huge issue, responsible for $4.7 billion in losses a year for companies. Access to real-time customer data can help financial services companies detect and prevent fraud. Financial analysts need to have a strong mathematical and statistical background to land a job in addition to relevant programming languages. Experts valued the healthcare analytics market at $8.4 billion in 2021 and expect it to grow 31% by 2027. The world of healthcare and medical data is exciting because it offers the chance to join in on solving huge global issues like epidemiology, improving patient experiences and outcomes, and finding life-altering medical breakthroughs. Healthcare providers need data analysts to manage and interpret data in clinical trials and safeguard patient data according to HIPAA compliance. They will also need data analysts and scientists to contribute to emerging fields like AI in healthcare. To get hired in a healthcare data analyst job, you need experience with databases such as SQL and Access and data visualization programs like Tableau. A general background in healthcare and an understanding of healthcare compliance is helpful, but not required. One excellent career path that data analysts can pursue is becoming a data scientist. Data analysts and data scientists are often lumped together, but they are in fact separate job functions. Data scientists perform more complex, advanced data analysis than data analysts. While a data analyst interprets structured, historical data, a data scientist may analyze raw data from multiple sources to forecast future performance or behavior. Data analysts typically solve a known and specified problem, while data scientists may comb through big data for insights without knowing what they¡¯re solving for. Data scientists are also integral in developing the latest AI and machine learning technology. Because of their advanced skill set, data scientists earn more on average and have high job security based on job projections. You may not be able to land a data science job straight out of a data analytics bootcamp, but you can take the leap into data science with a few years of data analyst experience under your belt or with a data science bootcamp. Once you¡¯ve completed a data analytics bootcamp, you can start searching for data analyst entry-level jobs. Whether you¡¯re interested in a large company, a startup, or a remote data analyst job, you¡¯ll have many options. Bootcamp alumni have a lot of assets at their fingertips, from workforce-ready technical skills to networks of employers and alumni. First, show off your credentials. Add your certification and badge if you have one to your LinkedIn profile and post about some of the things you learned in the bootcamp. Make sure to add your bootcamp and updated skills to your resume to make it shine. The best data analytics bootcamps help students create a portfolio as part of the coursework. If you created one during the bootcamp, you won¡¯t have much work to do other than adding the portfolio to your LinkedIn profile or a personal website if you have one. If you haven¡¯t created a portfolio yet, think about how to take one or two of your best projects and build a narrative around them. Show the problem you chose, how you overcame challenges, and what the results and business impact were. Make sure to include data visualizations to make it pop. Need ideas? You can browse GA student portfolios for inspiration. Most bootcamps offer career services for free, so there¡¯s no excuse not to take advantage of it. Work with career services to review your resume, help you prep for a technical interview, or negotiate a salary. Many bootcamps partner directly with employers (GA has 19,000 hiring partners around the globe) and can connect you with recruiters. Even if you¡¯re coming in as an outsider to data analytics, chances are that you¡¯re better connected than you think. Reach out to anyone connected to data analytics or companies you¡¯re interested in working for. Set up informational interviews and find out as much as you can about the industry and potential job openings. Keep up with the cohort members from your bootcamp. You¡¯re advocates, not competitors, for job openings and can support each other through the job search process. With up-to-date technical skills and a little grit, it¡¯s completely possible to become a data analyst with no experience. Data analysts need to be good with numbers and have an attention to detail. Next, they need hands-on experience analyzing data in programs such as Python, Tableau, and SQL. A data analytics bootcamp can equip anyone with the technical and soft skills they need to enter the data analytics job market. Whether you become a financial analyst, a healthcare analyst, or a business analyst, you can look forward to a fast-paced career on the cutting edge of technology and business evolution. A good analyst is invaluable to companies, providing insights and observations that affect decision-making at the highest levels. Ready to step into the gap?If you¡¯re ready to explore all the job change options available after a data analytics bootcamp, fill out this short form to chat with our Admissions team. Healthcare Data Analyst
Data Scientist
Job Hunting Success Tips After a Data Analytics Bootcamp
1. Display Your Certification on Your LinkedIn Profile and Resume
2. Showcase Your Work in a Portfolio
3. Use Career Services
4. Tap Into Your Network
How To Become a Data Analyst With No Experience
Disclaimer: 足球竞彩网 Assembly referred to their Bootcamps and Short Courses as ¡°Immersive¡± and ¡°Part-time¡± courses respectfully and you may see that reference in posts prior to 2023.