Best Remote Entry Level Data Analytics Jobs

Best Remote Entry Level Data & Analytics Jobs at Built In — Research Report

Introduction

If you are looking for a Built In internship or entry-level role in data and analytics, the remote openings on Built In can be an unusually strong launchpad. The platform is built around jobs in tech, media, and digital business, which means the data work is often tied to real product, audience, and revenue decisions rather than abstract reporting.

This report covers the role category Best Remote Entry Level Data & Analytics Jobs with a deadline of varying by individual posting. For job seekers, the value is straightforward: remote flexibility, early-career learning, and the chance to build experience that translates well to analytics, business intelligence, operations, and product careers.

Internships and entry-level roles are especially useful because they bridge classroom knowledge and practical work. Research on internships shows they help students build real-world skills, understand workplace expectations, and improve employability after graduation.

Overview of Built In

Built In is a tech-focused career platform and media company that connects employers with talent across software, data, product, marketing, and other digital functions. Its core value proposition is niche: instead of being a broad generalist job board, it focuses on the tech ecosystem and career content that helps candidates understand the companies behind the listings.

In industry terms, Built In sits in the same recruiting-adjacent space as platforms like LinkedIn Jobs, Indeed, and Dice, but its niche is stronger employer branding for technology companies and local tech communities. That positioning matters because candidates browsing Built In are often already filtering for mission, culture, flexibility, and role specialization.

The company’s product mix typically includes job listings, employer profiles, salary information, and editorial content about hiring trends and career paths. For candidates, that makes Built In more than a simple posting site; it is also a research tool for understanding how to get hired at Built In and similar employers.

Built In’s market presence is tied to the growth of remote work and the ongoing demand for data-literate talent. Companies continue to hire analysts who can turn usage, revenue, and engagement data into decisions, and platforms like Built In benefit from that demand by surfacing early-career openings that appeal to a broad talent pool.

From a culture standpoint, Built In is closely associated with modern, tech-forward, remote-friendly work. That reputation matters to candidates who value autonomy, communication, and work that has visible business impact. People are drawn to Built In because the platform signals credibility in tech hiring and gives them access to roles that often feel more transparent than traditional corporate openings.

Best Remote Entry Level Data & Analytics Jobs Role

Role Overview

The best remote entry-level data and analytics jobs on Built In usually center on collecting, cleaning, analyzing, and presenting data that supports business decisions. Depending on the employer, the role may be titled Data Analyst, Junior Data Analyst, Analytics Associate, Business Intelligence Analyst, or Operations Analyst.

Day to day, the work is usually a mix of structured analysis and responsive support. You might pull reports, validate dashboard numbers, investigate trends, answer questions from marketing or product teams, and help shape how leadership understands performance.

The business impact is real even at entry level. Good analysts reduce guesswork, speed up decision-making, and help teams identify what is working and what is not. In a remote setting, that value is even more visible because clean communication and reliable reporting become essential to keeping distributed teams aligned.

Detailed Responsibilities

Actual responsibilities vary by company, but entry-level data and analytics roles commonly include:

• Cleaning and organizing data from CRM, product, marketing, or finance systems
• Building recurring reports and dashboards for internal teams
• Checking data quality and flagging inconsistencies
• Supporting ad hoc analysis requests from managers and stakeholders
• Summarizing findings in clear written updates
• Tracking key metrics such as conversions, retention, traffic, or revenue
• Helping document definitions for metrics and reporting logic
• Assisting with A/B test readouts or campaign performance reviews

Day-to-Day Workflow

A realistic day in a remote entry-level analytics role often starts with checking email, Slack, and project boards for requests or data issues. Then you might spend the morning querying data, refreshing dashboards, or reconciling numbers across tools.

Midday often shifts to collaboration. You may join standups, meet with a manager to review a report, or clarify what a stakeholder actually needs before building a chart that no one uses. Later in the day, you may polish a presentation, write a short summary of findings, or hand off a dataset to another team.

The most successful early-career analysts do not just produce numbers. They explain what the numbers mean, what changed, and what to look at next.

Tools and Technologies

Most remote entry-level data and analytics jobs at Built In employers mention a practical, job-ready stack rather than deeply specialized tools. Common platforms include:

• Excel or Google Sheets for quick analysis and ad hoc work
• SQL for querying databases and validating data
• Tableau, Power BI, or Looker for dashboards and visualization
• Python or R for more advanced analysis, automation, or modeling
• CRM and analytics tools such as Salesforce, HubSpot, GA4, or Amplitude
• Slack, Zoom, and Jira or Asana for remote collaboration

For many entry-level candidates, SQL and dashboard literacy matter more than advanced machine learning. Employers want analysts who can move confidently between data extraction, interpretation, and communication.

Skills and Requirements

Technical Skills

Strong candidates usually have a solid foundation in SQL, spreadsheet analysis, and data visualization. If the role touches product or marketing analytics, it helps to understand funnels, cohorts, conversion rates, retention, and campaign attribution.

Some roles expect familiarity with Python, especially pandas and basic scripting. Even when Python is not required, it can help you stand out because it shows you can automate repetitive tasks and work with larger datasets.

Domain knowledge also matters. A candidate who understands how digital products are measured will often outperform a candidate with only classroom theory and no sense of business context.

Soft Skills

Remote analytics roles rely heavily on communication. You need to explain your thinking clearly, ask precise questions, and make your assumptions visible when data is incomplete.

Problem-solving is equally important. Hiring managers look for people who can break ambiguous requests into smaller pieces, work through messy data, and stay calm when numbers do not match immediately.

Teamwork matters because analytics usually supports other functions. A strong junior analyst knows how to collaborate without overcomplicating the process.

Experience Expectations

For entry-level roles, employers usually care more about evidence than seniority. That evidence can come from internships, class projects, research work, freelance analysis, competitions, or a GitHub or portfolio page with clean examples.

A strong GPA can help, but it is rarely enough on its own. More important is whether you can show that you used data to answer a real question and present a useful conclusion.

If you are early in your career, one strong project can be enough if it shows SQL, analysis, and business framing. Employers want to see that you can work like an analyst, not just talk like one.

Salary and Benefits

For remote entry-level data and analytics jobs in the U.S., a realistic salary range is often $55,000 to $85,000 annually, with some competitive tech employers offering more depending on location, benefits, and technical depth. Internship pay, when available, commonly falls in the $20 to $35 per hour range for strong market-rate programs.

Benefits vary by employer, but remote-friendly companies often offer flexible schedules, home office support, learning stipends, and access to training resources. Some teams also provide mentorship, paid time off, and internal mobility opportunities that matter a lot for early-career growth.

Full-time conversion can be a major upside if the role is internship-based or contract-to-hire. Employers often prefer to convert candidates who show consistency, strong communication, and dependable execution during the first project cycle.

Built In Hiring Process

Step-by-Step Hiring Stages

1. Application submission through the Built In posting or employer portal
2. Initial recruiter screening for fit, interest, and baseline skills
3. Assessment or assignment, often involving SQL, Excel, or analytics thinking
4. Interviews with the hiring manager and sometimes team members
5. Offer discussion, references, and final decision

Application Timeline

Because deadlines vary by individual posting, the safest approach is to apply as soon as you see a role that matches your skills. Remote entry-level roles often receive a high volume of applications quickly, especially if the posting is broadly attractive or open nationwide.

The process usually takes two to six weeks, though it can move faster for urgent hires and slower for companies coordinating multiple interviewers. Internship searches can also be seasonal, with many employers moving earlier than students expect.

Screening Methods

Screening often starts with an ATS keyword check. That means your résumé should mirror the language in the job description when you genuinely have the skill, especially for terms like SQL, dashboarding, data cleaning, reporting, stakeholder communication, and Tableau.

Portfolio quality matters as much as résumé keywords. If you include work samples, make them easy to skim, clearly labeled, and focused on insight rather than volume.

Interview Preparation

Example Interview Questions

• Tell us about a time you used data to answer a business question.
• How would you clean and validate a dataset with missing values?
• Which metrics would you use to evaluate a new dashboard or report?
• How do you explain technical findings to non-technical teammates?

How to Answer

The best framework is STAR: Situation, Task, Action, Result. Use it to keep your answers specific and to show how you think under real conditions.

For analytics questions, do not just state what tool you used. Explain the problem, how you structured the analysis, what tradeoffs you considered, and what decision your work supported.

When answering behavioral questions, show judgment. Hiring teams want analysts who can make useful decisions even when the data is incomplete or the request is vague.

What Recruiters Evaluate

Recruiters usually look for three things: technical readiness, communication quality, and evidence that you can learn quickly. For remote roles, they also pay attention to responsiveness, clarity, and whether you seem self-directed.

If you can show that you have worked on real datasets, documented your process, and communicated findings clearly, you will immediately look more competitive than candidates who only list coursework.

How to Get Selected

Practical Tips

• Tailor your résumé to the exact posting and mirror relevant keywords naturally
• Include one or two analytics projects with measurable outcomes
• Show SQL, spreadsheet, and visualization work whenever possible
• Write a concise cover letter that explains why this company and this role
• Prepare a short story for each major project that you can tell in interviews

Common Mistakes to Avoid

Many candidates get rejected because they submit generic résumés that do not match the role. Others oversell themselves on tools they barely know, which becomes obvious during technical screening.

Another common issue is poor project presentation. If a portfolio is cluttered, vague, or impossible to navigate, hiring teams may assume the work quality is similar.

Remote applicants also lose points when they sound passive. Employers want analysts who can work independently, communicate early, and keep projects moving without constant reminders.

How to Stand Out

The strongest candidates build a small but polished portfolio. One good dashboard, one SQL case study, and one short written analysis can be more persuasive than a long list of unrelated class assignments.

Networking still matters. Alumni, career services, and direct outreach can uncover opportunities that are not heavily advertised. Internship research consistently shows that networking and tailored applications improve access to interviews and roles.

To stand out even more, send a submission that feels tailored to the business. If the employer is a media or SaaS company, frame your examples around engagement, retention, revenue, or audience growth rather than generic “data analysis.”

Final Thoughts

Best Remote Entry Level Data & Analytics Jobs at Built In are attractive because they combine early-career learning with practical business impact and remote flexibility. If you are serious about breaking into analytics, this is the kind of opportunity that can accelerate your résumé, sharpen your technical skills, and help you build confidence fast.

Focus on the fundamentals, present your projects clearly, and apply with a tailored approach. If you can show that you understand the data, the business, and the communication needed to connect them, you will be much closer to learning how to get hired at Built In.

Frequently Asked Questions

Salary Expectations

What is the salary for Best Remote Entry Level Data & Analytics Jobs at Built In?

A realistic U.S. range is about $55,000 to $85,000 for full-time entry-level roles, with internships often paying around $20 to $35 per hour depending on the employer and scope of work.

Hiring Difficulty

How competitive is it to get hired at Built In?

Competition is moderate to high because remote entry-level analytics roles attract many applicants, especially those with SQL, dashboards, and internship experience. Candidates who submit tailored materials and strong project examples usually have a clear advantage.

Key Skills

What skills are most important for this role?

The most important skills are SQL, spreadsheet analysis, data visualization, clear communication, and the ability to explain insights to non-technical teammates. Familiarity with Python or BI tools can help, but strong fundamentals matter most.