Remote entry-level data jobs are junior-level positions in data analytics, engineering, or science that can be performed entirely online without commuting to a physical office.
Remote entry-level data jobs are junior roles—such as data analyst, business intelligence (BI) analyst, data engineer, or data scientist—that allow new professionals to work from any location with internet access.
Remote work has become mainstream, and data teams are no exception. Early-career professionals benefit from a larger pool of openings, location-agnostic salaries, and the flexibility to live where they choose. Employers gain access to global talent, reduced office costs, and round-the-clock coverage across time zones. With the explosive growth of data initiatives at startups and enterprises, demand for junior talent who can clean data, write SQL, and build dashboards has never been higher.
Focuses on querying databases (often in SQL), producing reports, and communicating insights to stakeholders.
Specializes in dashboards and KPI tracking using tools like Tableau, Looker, or Power BI.
Builds data pipelines, manages ETL/ELT workflows, and ensures data quality and availability.
Assists in building predictive models, running A/B tests, and interpreting results under senior guidance.
Most postings expect internships, coursework projects, or GitHub proof. Treat “entry” as 0-2 years professional experience, not zero skills.
Salaries often benchmark to expensive hubs (NYC/SF) even if you live elsewhere. Research range by company stage rather than assume a discount.
Async isn’t the same as fully flexible. Many teams need you online for overlapping hours or on-call rotations.
Suppose you have access to a public job-postings dataset with a jobs table. The following SQL filters for remote, entry-level data analyst openings posted in the last 30 days:
SELECT title,
company,
location,
posted_date,
job_url
FROM jobs
WHERE lower(title) LIKE '%data analyst%'
AND experience_level = 'entry'
AND remote = TRUE
AND posted_date >= CURRENT_DATE - INTERVAL '30 days'
ORDER BY posted_date DESC;
Maria, a biology graduate in Argentina, completed the Google Data Analytics certificate and published a public COVID-19 dashboard on Tableau Public. She then queried the GitHub Jobs API, built a portfolio site, and networked in the DataTalks.Club Slack. Within three months, she landed a fully remote junior BI analyst role at a Series B health-tech startup headquartered in Boston, earning 1.8× her local market salary.
As organizations pursue data-driven decision-making, they need junior talent who can perform essential but time-consuming tasks—cleaning data, writing SQL, and building dashboards. Remote roles let companies scale globally while giving new graduates access to higher salaries and better work-life balance. Understanding how remote hiring works, what skills are required, and how to signal competence is critical for anyone entering the data field today.
Typically 0-2 years of professional experience. Employers still expect proof of skills via internships, bootcamps, or portfolio projects.
A bachelor’s in a quantitative field helps, but strong portfolios and certifications can substitute. Many startups hire non-degree holders with demonstrated ability.
Remote compensation often benchmarks to the company’s primary market (e.g., U.S. metro areas). This can outpace local pay but may come with cost-of-living adjustments.
SQL, a BI tool (Tableau/Looker), and Python with Pandas cover 80% of entry-level tasks. Add Git for version control and a cloud data warehouse (Snowflake/BigQuery) for bonus points.
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