We may earn an affiliate commission when you visit our partners.

Technical Data Analyst

A Technical Data Analyst is a highly skilled professional who uses their knowledge of data analysis and technology to help businesses make informed decisions. They are responsible for collecting, cleaning, and analyzing data to identify trends, patterns, and other insights that can help businesses improve their operations. As a Technical Data Analyst, you will work with a variety of data sources, including relational databases, spreadsheets, and web logs. You will also need to be familiar with a variety of data analysis tools and techniques, including SQL, Python, and R.

Read more

A Technical Data Analyst is a highly skilled professional who uses their knowledge of data analysis and technology to help businesses make informed decisions. They are responsible for collecting, cleaning, and analyzing data to identify trends, patterns, and other insights that can help businesses improve their operations. As a Technical Data Analyst, you will work with a variety of data sources, including relational databases, spreadsheets, and web logs. You will also need to be familiar with a variety of data analysis tools and techniques, including SQL, Python, and R.

Skills and Background Knowledge

To be successful as a Technical Data Analyst, you will need to have a strong foundation in mathematics and statistics. You should also be familiar with data analysis software and programming languages. In addition, you will need to have excellent communication and presentation skills, as you will often be responsible for presenting your findings to stakeholders.

Tools, Software, Equipment, Licensing, Certifications

Technical Data Analysts use a variety of tools and software to perform their jobs. Some of the most common tools include:

  • Microsoft Excel
  • SQL
  • Python
  • R
  • Tableau

In addition to these tools, Technical Data Analysts may also need to be familiar with data visualization software, data mining software, and machine learning algorithms.

Career Growth

Technical Data Analysts can advance their careers in a number of ways. Some may choose to specialize in a particular area of data analysis, such as financial data analysis or healthcare data analysis. Others may choose to move into management roles, such as Data Analytics Manager or Director of Data Analytics.

Transferable Skills

The skills that you develop as a Technical Data Analyst are highly transferable to other careers. For example, you may be able to use your data analysis skills to work as a Business Analyst, Market Researcher, or Data Scientist.

Day-to-Day Responsibilities

The day-to-day responsibilities of a Technical Data Analyst vary depending on the company and industry. However, some common responsibilities include:

  • Collecting and cleaning data
  • Analyzing data to identify trends and patterns
  • Developing data visualizations to communicate findings
  • Presenting findings to stakeholders
  • Making recommendations based on data analysis

Challenges

Technical Data Analysts face a number of challenges in their work. Some of the most common challenges include:

  • Dealing with large and complex datasets
  • Keeping up with the latest data analysis techniques
  • Communicating findings to non-technical stakeholders
  • Making recommendations that are actionable

Projects

Technical Data Analysts may work on a variety of projects, including:

  • Developing dashboards to track key performance indicators
  • Building predictive models to identify future trends
  • Conducting market research to identify new opportunities
  • Analyzing customer data to improve customer service
  • Developing new data analysis techniques

Personal Growth Opportunities

A career as a Technical Data Analyst offers a number of opportunities for personal growth. You will have the opportunity to learn new skills, develop your critical thinking skills, and make a real impact on the business.

Personality Traits and Personal Interests

People who are successful as Technical Data Analysts typically have the following personality traits and personal interests:

  • Analytical
  • Detail-oriented
  • Curious
  • Problem-solver
  • Communicator

Self-Guided Projects

There are a number of self-guided projects that you can complete to better prepare yourself for a career as a Technical Data Analyst. Some of these projects include:

  • Building a portfolio of data analysis projects
  • Learning a new programming language
  • Participating in data analysis competitions
  • Writing articles or blog posts about data analysis
  • Attending industry conferences and workshops

Online Courses

There are a number of online courses that can help you learn the skills you need to become a Technical Data Analyst. These courses can teach you about data analysis techniques, data visualization, and data mining. They can also provide you with hands-on experience working with real-world data.

Online courses can be a great way to learn about data analysis and prepare for a career as a Technical Data Analyst. However, it is important to note that online courses alone are not enough to guarantee success in this field. You will also need to have a strong foundation in mathematics and statistics, as well as experience working with data analysis software and programming languages.

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Technical Data Analyst

City
Median
New York
$95,000
San Francisco
$119,000
Austin
$102,000
See all salaries
City
Median
New York
$95,000
San Francisco
$119,000
Austin
$102,000
Toronto
$115,000
London
£54,600
Paris
€75,000
Berlin
€69,000
Tel Aviv
₪690,000
Shanghai
¥105,000
Bengalaru
₹1,205,000
Delhi
₹716,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Technical Data Analyst

Take the first step.
We've curated one courses to help you on your path to Technical Data Analyst. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser