6 Remote Entry-level Data Analyst Jobs
Explore flexible and work from home entry-level data analyst positions available worldwide. Your career in truly remote companies - apply today.
People also searched for:
remote junior data analyst jobsremote data scientist jobsremote product analyst jobs
18 hours ago
KCF Technologies, Inc.
201 - 500
Assist with data analysis and visualization for business insights at KCF.
September 20, 2023
Binance
1001 - 5000
⛩ Anywhere in Asia – Remote
💰 Initial Coin Offering on 2020-12
⏰ Full Time
⚪️ Entry-level
📉 Data Analyst
August 5, 2023
Lumina (YC W22)
11 - 50
Top companies hiring remote entry-level data analysts
KCF Technologies, Inc.
Machine Health Monitoring • Predictive Maintenance • IIoT
201 - 500
Job Openings
Open Mesh - a Datto Company
Wireless Access Points • Wi-Fi • Cloud-Managed Networking
11 - 50
Job Openings
Remote data analyst salary expectations
The average salary for remote data analysts is $113,832 per year. This is based on data from 1,736 job openings.
Our advanced AI searches the internet for remote job openings and posts them on our website. We use the salary data from these job postings to calculate data analyst salaries.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
⚪️ Entry-level Data Analyst (0 yrs) | 2 | $56,500 |
🟢 Junior Data Analyst (1-2 yrs) | 111 | $84,339 |
🟡 Mid-level Data Analyst (2-4 yrs) | 532 | $106,003 |
🟠 Senior Data Analyst (5-9 yrs) | 1008 | $116,311 |
🔴 Lead Data Analyst (10+ yrs) | 83 | $174,731 |
Frequently asked questions
You need proficiency in data analysis tools like Excel, SQL, and basic knowledge of programming languages such as Python or R. Strong analytical skills, attention to detail, and the ability to visualize data are essential, along with good communication skills to present findings.
Typically, a degree in data science, statistics, mathematics, or a related field is required. Certifications in data analysis or relevant software can enhance your qualifications. Having a portfolio with projects or internships can also be beneficial.
Responsibilities include collecting and cleaning data, performing basic statistical analysis, generating reports, and creating data visualizations. You'll also assist in identifying trends and patterns, and support senior analysts in data-driven decision-making.
Benefits include flexible work hours, the ability to work from anywhere, opportunities for skill development, and valuable experience in a growing field. Remote positions also allow for a better work-life balance and the chance to collaborate with teams globally.