For this discussion, you will be utilizing the UMGC Career Services site: Career Quest.(https://careerquest.umgc.edu/auth/sign-in?postLoginRedirect=/hub/umgc-careerquest/home-v3) Create a new account OR sign in if you already have an account. The goal is to understand the market demands for job skills related to data analytics and data science. You will be sharing at least three open positions that you found using keywords that you have learned in this course and insights you gain from this research.Start by searching the "Open Positions" for words like "data science", "data analyst", "PowerBI", "data model", "data visualization", etc. You can also search Indeed.com if you do not find any jobs of interest to you. For each job that you post, you must include:The job title, name of company/organization, required education, required qualifications, and desired qualifications.Now, write a paragraph that answers at least one of these questions (can be more if you wish!)
- If you had a chance to speak to the company about any of these three jobs, what would you ask?
- If you were planning to apply for any of these jobs, what three skills would you need to gain or improve on? 3. What is a common theme or requirement between all three jobs you found?
- What resources could you use on UMGC CareerQuest to help you with your job search?
Open Positions in Data Analytics and Data Science
1. Job Title: Data Analyst
- Company: Booz Allen Hamilton
- Required Education: Bachelor’s degree in a related field
- Required Qualifications: Proficiency in SQL, experience with data visualization tools, strong analytical skills
- Desired Qualifications: Knowledge of Python or R, experience with statistical analysis
2. Job Title: Data Scientist
- Company: Amazon
- Required Education: Master’s or Ph.D. in a quantitative field
- Required Qualifications: Experience with machine learning algorithms, expertise in data modeling, proficiency in programming languages like Python or Java
- Desired Qualifications: Strong problem-solving skills, familiarity with big data technologies
3. Job Title: Business Intelligence Analyst
- Company: Microsoft
- Required Education: Bachelor’s degree in Computer Science or related field
- Required Qualifications: Proficiency in PowerBI, experience in data analysis and reporting, strong communication skills
- Desired Qualifications: Knowledge of data warehousing concepts, ability to work with complex datasets
Insights and Questions
If I had a chance to speak to the company about any of these three jobs, I would inquire about the specific projects or initiatives the team is currently working on to understand the practical applications of data analytics and data science within the organization. This would provide insights into the challenges they are facing and the skills required to address them effectively.
If I were planning to apply for any of these jobs, three skills I would need to gain or improve on include advanced knowledge of machine learning algorithms, proficiency in big data technologies such as Hadoop or Spark, and experience in conducting data storytelling through compelling visualizations.
A common theme between all three jobs found is the emphasis on technical proficiency in data analysis tools and programming languages. Whether it is SQL for data querying, Python for machine learning, or PowerBI for business intelligence, a strong foundation in these technical skills is essential for success in roles related to data analytics and data science.
To enhance my job search on UMGC CareerQuest, I could utilize resources such as resume building tools to create a tailored resume highlighting my data analytics skills, job search filters to narrow down relevant positions based on my qualifications, and networking opportunities to connect with professionals in the field for insights and advice on pursuing a career in data analytics and data science.