Breaking Into Data Analytics

Why Choose a Career in Data Analytics?

  • Highly-paid.
  • A Fast-growing industry with skilled workers in demand.
  • Lots of room for career advancement.
  • Satisfying and challenging day-to-day work that’s focused on problem-solving.
  • (Often) a good mix of technical work and interpersonal communication work.
  • Technical skills like programming transfer easily to many other careers.
  • (Often) work-from-home flexibility.
  • Very few mandatory qualifications — employers in the field are most interested in skills, not specific degrees or certifications.
  • Wide variety of available roles in the field.

DATA ANALYTICS

Skills For Data Analyst Should be?

  • Structured Query Language(SQL)
  • R or Python-Statistical Programming
  • Communication Skills
  • Microsoft Excel
  • Data Visualization
  • Critical thinking Presentation Skills
  • Machine Learning
  • Mathematical & Statistical Skills are also valuable to gather, measure, organize and analyze data.

Programming Languages:

  • A 2019 survey by analytics recruiters Burtchworks found that Python had finally edged out SAS or R as the preferred language of Data Analysts.

Responsibilities Of Data Analyst:

  • Interpreting data, analyzing results using statistical techniques.
  • Designing and maintaining data systems and database.
  • Mining data from a primary and secondary source.
  • Demonstrating the significance of their work in the context of local, national, and global trends that impact both their organization and industry.
  • Preparing reports for executive leadership.
  • Creating appropriate documentation.
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
  • Collaborating with programmers, engineers, and organizational leaders.
  • Locate and define new process improvement opportunities.

Job Duties For Data Analyst:

Requirements:

  • Proven working experience as a Data Analyst or Business Data Analyst.
  • Technical expertise regarding data models, database design development, data mining & segmentation techniques.
  • Strong knowledge of database, statistical packages for analyzing datasets.
  • Strong analytical skills to collect, organize, analyze the data.
  • Adept at queries, report writing and presenting findings.

Types of Jobs that Require a Knowledge of Data Analytics:

  1. Business Intelligence Analyst
  2. Data Analyst
  3. Data Scientist
  4. Data Engineer
  5. Quantitative Analyst
  6. Data Analytics Consultant
  7. Operations Analyst
  8. Marketing Analyst
  9. Project Manager
  10. IT Systems Analyst
  11. Transportation Logistics Specialist

Demand For Data Analysts Is Skyrocketing:

  • In 2018 the World Economic Forum published its predictions for the future workforce through 2022. In it, the WEF identified that by 2022, 85% of companies will have adopted big data and analytics technologies.
  • WEF also found that 96% of companies were definitely planning or likely to plan to hire new permanent staff with relevant skills to fill future big data analytics related roles.
  • In Fact, The Bureau of Labor Statistics estimates the need for business analysts to increase 14% by 2024. This is one of the highest average percentages among growing occupations.
  • According to IBM, the number of jobs for data professionals in the U.S will increase to 2,720,000 by 2020.

What Do Data Analyst Make?

At Last,

Data Analyst Career Path: Pros and Cons:

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