A Data Journalist tells stories through data, using their analytical skills and storytelling abilities to uncover trends, patterns, and insights that inform and engage audiences.
Potential Lateral Jobs
$73,781 / year
The average salary for Data Journalist is $73,781 / year according to Glassdoor.com
There are no updated reports for Data Journalist salaries. You can check potential lateral job opportunities in this information stack to find related salary information.
Data Journalist role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.
As a Data Journalist, you will be responsible for collecting, analyzing, and presenting data in a journalistic format. You will need strong research and storytelling skills, as well as proficiency in data visualization tools such as Tableau or D3.js. Strong communication and writing skills are also important, as you will be responsible for translating complex data into understandable and engaging stories.
The following text about the Job role of Data Journalist has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.
A Data Journalist is a journalist who specializes in reporting on data. They may work for a news organization or they may be freelance. They may also work in a variety of settings, such as print, online, or television.
Data Journalists are responsible for finding and reporting on data that is relevant to their audience. They may also be responsible for analyzing that data and presenting it in a way that is easy for their audience to understand.
Some of the most important skills for a Data Journalist include:
The ability to find and report on data that is relevant to their audience
The ability to analyze data and present it in a way that is easy for their audience to understand
The ability to write clearly and concisely
The ability to interview people and get them to open up
The ability to work well under pressure and to meet deadlines
The ability to work independently and as part of a team
Some of the tasks that a Data Journalist may be responsible for include:
Finding and reporting on data that is relevant to their audience
Analyzing data and presenting it in a way that is easy for their audience to understand
Writing clearly and concisely
Interviewing people and getting them to open up
Working well under pressure and to meet deadlines
Working independently and as part of a team
A Data Journalist may also be responsible for:
Attending press conferences and other events
Talking to people on the street or in their homes
Visiting businesses and other organizations
Using social media to find and report on data
Using data to tell stories
Using data to inform the public
Using data to make a difference
A Data Journalistic is a very important job. They are responsible for finding and reporting on data that is relevant to their audience. They may also be responsible for analyzing that data and presenting it in a way that is easy for their audience to understand. This is a very important task, as it helps to keep the public informed and helps to make a difference in the world.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.
Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.
AWS Certified Database — Specialty
The AWS Database Certification — Specialty program is intended to validate candidates' expertise in recommending, designing, and implementing AWS cloud-based relational and NoSQL database systems.
Microsoft Certified: Azure Database Administrator Associate
The Microsoft Certified: Azure Database Administrator Associate program is designed for professionals who have expertise in building database solutions that support multiple workloads using SQL Server on-premises and Azure SQL database services.
Google Certified Professional Cloud Database Engineer
The Google Certified Professional Cloud Database Engineer program is designed for experienced database engineers with a strong background in both Cloud computing and overall database and IT experience.
The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.
The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud.
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.
We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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