What you need to know before becoming a data analyst – Natural Self Esteem

Data analyst jobs include examining information to learn more about organizations, consumers, and markets. Their insights help organizations make more effective decisions, products and services, and marketing strategies.

The Bureau of Labor Statistics (BLS) forecasts 22% job growth for market research analysts between 2020 and 2030. A sharp increase in the use of enterprise data and applications is driving these new jobs.

Here we examine data analyst jobs and what it takes to get them.

What do data analysts do?

Data analysts fill many roles. Their main tasks usually include:

  • Collecting, mining and analyzing sales and market information
  • Evaluation of Marketing Effectiveness
  • Assessing consumer buying habits and patterns
  • Design of data acquisition and evaluation instruments
  • Creating projections and reports based on their results

These professionals typically require strengths in math, communication, and social sciences. You will benefit from understanding business, economic and consumer behavior.

According to BLS, consulting services, finance and insurance, and management typically employ data analysts.

Analysts work with marketers, management, and organizational stakeholders. Related job titles are market research analyst, demographic analyst or data scientist.

Data Analyst vs Data Scientist

Data Analyst and Data Scientist jobs may overlap. The field of data science encompasses a large part of data analysis.

While data analysts use information from limited datasets to solve problems specific to organizations, data scientists turn to large and unstructured datasets to identify risk and forecast outcomes.

Work-life balance for data analysts

Data Analysts typically work normal business hours. Tight deadlines add work and stress to their schedules.

As a data analyst, you may enjoy remote work opportunities. You can work from anywhere with access to data and analysis software.

Data professionals may need to undertake further training or self-study to remain competitive and stay up-to-date with the latest trends and technologies. Professional certifications, such as the Insights Professional Certification, also require ongoing training.

Data Analyst Salary

According to PayScale, the average base salary for data analyst jobs as of April 2022 was $62,789.

Experienced professionals typically earn more than entry-level professionals, with entry-level professionals earning $57,000, mid-career professionals $70,000, and veteran professionals earning an average of $73,000.

The median annual salary for market research analysts as of May 2020 was $65,810. The top 10% of professionals in this field earned more than $127,410.

Industry, skill level, location and skills determine income.

Top Paid States for Market Research Analysts

Federal State

Number of analysts employed

Average annual wage (May 2020)

Washington

27,560

$92,350

New Jersey

19,830

$91,290

Delaware

2,240

$89,240

new York

70,770

$85,090

District of Columbia

7,300

$84,340

Source: US Bureau of Labor Statistics (May 2020)

What does it take to become a data analyst?

Data Analyst jobs welcome candidates from many backgrounds. Graduates can enter the field with a computer science degree, an economics degree, a math degree, or even a social science degree.

According to the BLS, these positions generally require at least a bachelor’s degree. A data science bootcamp can also lead to entry-level employment.

Employers may prefer candidates to have relevant experience or further education, e.g. B. a master’s degree in data analysis.

Industry certification can help professionals advance their careers. It demonstrates a high level of knowledge and at least three years of relevant experience.

What skills do I need as a data analyst?

In addition to the specific hard skills you need to qualify for data analyst jobs, you need to improve the people or “soft” skills.

Data analysts must be able to think critically, solve problems, and communicate their findings clearly and concisely.

Difficult Skills

  • data visualization
  • Data cleansing and preparation
  • Analysis and linear algebra
  • SQL and NoSQL databases
  • Microsoft Excel
  • Programming languages: Python, R, SQL
  • Database creation and navigation

Social competence

  • solve problems
  • communication
  • Critical thinking
  • Analytically
  • Attentive and detail-oriented

Unless otherwise noted, salary and job growth data is from the US Bureau of Labor Statistics as of April 14, 2022.

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