2 Remote Entry-level Analytics Engineer Jobs (No Experience Required)
Explore flexible and work from home entry-level analytics engineer positions available worldwide. Your career in truly remote companies - apply today.
Yesterday
Join SNHU as a Student Worker to assist in SQL development and analytics projects remotely.
September 28
Fetch Rewards
501 - 1000
Build systems for data modeling at Fetch, a loyalty shopping platform.
🇺🇸 United States – Remote
💵 $40 / hour
💰 Debt Financing on 2022-04
👨🎓 Internship
⚪️ Entry-level
📊 Analytics Engineer
🗽 H1B Visa Sponsor
Top companies hiring remote entry-level analytics engineers
Fetch Rewards
Mobile applications • Grocery Retail • Shopper Data
501 - 1000
💰 Debt Financing on 2022-04
Job Openings
Remote analytics engineer salary expectations
The average salary for remote analytics engineers is $132,750 per year. This is based on data from 242 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 analytics engineer salaries.
Below is a breakdown of salary data by years of experience:
| Experience | Number of roles analyzed | Average Salary |
|---|---|---|
🟢 Junior Analytics Engineer (1-2 yrs) | 11 | $95,754 |
🟡 Mid-level Analytics Engineer (2-4 yrs) | 73 | $121,993 |
🟠 Senior Analytics Engineer (5-9 yrs) | 146 | $135,769 |
🔴 Lead Analytics Engineer (10+ yrs) | 12 | $195,363 |
Frequently asked questions
You need strong analytical skills, proficiency in SQL, data visualization tools like Tableau or Power BI, and basic understanding of statistics and data modeling. Programming skills in Python or R can also be helpful.
Typically, a degree in data science, mathematics, statistics, or a related field is required. However, relevant coursework, internships, and self-taught skills demonstrated through projects or portfolios can also be valuable.
Responsibilities include collecting, analyzing, and interpreting data, creating reports and dashboards, collaborating with team members to identify data needs, and assisting in data-driven decision-making processes.
Benefits include flexible work hours, the ability to work remotely from various locations, opportunities for career growth in the data field, and reduced commuting time and costs.