Best Remote Entry Level Data Analytics Jobs In Austin Tx

Best Remote Entry Level Data & Analytics Jobs in Austin, TX at Built In — Research Report

Introduction

If you are exploring Best Remote Entry Level Data & Analytics Jobs in Austin, TX at Built In, you are looking at a role that sits at the center of modern business decision-making. Entry-level analytics work is valuable because it turns raw information into insights teams can actually use, whether that means improving content strategy, tracking audience behavior, or helping a product team understand engagement trends.

The hiring window for this role is listed as Deadline: Not specified, which usually means candidates should move quickly rather than assume the posting will stay open for long. In practice, jobs like this are competitive because they offer remote flexibility, early-career growth, and hands-on exposure to data tools that matter in the market. If you want a role that can build your credibility fast, this is the kind of opportunity worth pursuing with a polished application and a clear story.

Overview of Built In

Built In is a digital media and community platform focused on tech professionals, startups, and job seekers. The company is best known for its city-based career ecosystems, employer branding solutions, and job listings that connect talent with tech-forward companies across major U.S. markets. For candidates, Built In is not just a job board; it is a brand that sits close to the hiring side of the talent market.

Its positioning is somewhat different from general-purpose job platforms like LinkedIn, Indeed, or Glassdoor. Built In occupies a niche where content, employer visibility, and hiring intersect. That makes its data and analytics work especially interesting, because the business depends on measuring audience behavior, traffic quality, employer engagement, and conversion across listings and content.

The company’s core services include local tech news and editorial content, employer profiles, job listings, and talent marketing products. That mix creates a strong need for analysts who can look at performance data across editorial, search, and recruitment funnels. In other words, analytics here is not theoretical; it directly supports revenue and user growth.

Built In has grown its reputation by staying focused on the tech ecosystem and by creating a recognizable brand in large innovation hubs. Austin is a particularly important market because it combines startup energy, enterprise growth, and a deep talent pool. Candidates often want to work here because the environment tends to value initiative, digital fluency, and practical problem-solving more than rigid corporate hierarchy.

Best Remote Entry Level Data & Analytics Jobs in Austin, TX Role

Role Overview

An entry-level data and analytics role at Built In is typically about supporting reporting, interpreting performance trends, and helping teams make smarter decisions. Day to day, you may spend time cleaning datasets, building dashboards, pulling traffic reports, or checking whether campaigns, articles, or job listings are driving the expected results. The work matters because it influences how the company serves employers, readers, and job seekers.

For a remote employee based near Austin or working in the Austin market, the role often requires strong self-management and comfort with asynchronous collaboration. You may support cross-functional teams such as marketing, editorial, sales, or product. Even at the entry level, your work can shape what gets prioritized, what gets improved, and where the business spends time and budget.

Detailed Responsibilities

• Collect and organize performance data from dashboards, analytics platforms, and internal reports.
• Monitor key metrics such as traffic, engagement, conversion, and content performance.
• Create recurring reports for managers and cross-functional teams.
• Support data cleanup, QA checks, and basic validation of reporting accuracy.
• Assist with ad hoc analysis requests tied to campaigns, listings, or audience behavior.
• Help identify trends, anomalies, and opportunities for optimization.
• Translate raw numbers into simple insights that non-technical teammates can understand.
• Document processes so reporting remains consistent over time.

Day-to-Day Workflow

A realistic day often starts with checking dashboards and responding to time-sensitive requests from internal stakeholders. You may spend the morning updating a weekly report, then shift into deeper analysis on a specific traffic drop, content segment, or conversion issue. Because Built In’s work touches both editorial and business outcomes, you will likely need to move between structured reporting and more open-ended problem-solving.

Later in the day, you might join a quick team sync, explain a chart to a non-technical colleague, or compare current results against historical benchmarks. The best entry-level analysts are not just accurate; they are useful. They know how to reduce complexity and keep teams moving.

Tools and Technologies

• Google Analytics 4 for traffic and audience behavior tracking
• Google Sheets or Excel for analysis, pivots, and quick reporting
• Looker Studio, Tableau, or similar dashboard tools
• SQL for querying databases and validating data
• CRM or marketing analytics platforms, depending on team needs
• Slack, Notion, or Asana for communication and task tracking
• Basic knowledge of A/B testing or experimentation tools is a plus

Skills and Requirements

Technical Skills

For this role, the strongest candidates usually bring a practical blend of reporting, analysis, and data comfort. You do not need to be a data scientist, but you should be able to work cleanly with spreadsheets, read dashboards, and make sense of patterns in messy data. If you know SQL, that is a major advantage because it signals you can go beyond surface-level reporting.

Built In will likely value candidates who understand digital content metrics, audience funnels, and basic marketing analytics. Familiarity with SEO, UTM tracking, engagement KPIs, and conversion reporting can help you stand out. According to common marketing hiring standards, the ability to analyze data and communicate clearly is one of the most important combinations for entry-level success.

Soft Skills

Communication is just as important as technical skill here. If you cannot explain why a metric matters, the analysis loses impact. You also need curiosity, because many assignments start with a vague business question rather than a perfectly defined problem.

• Clear written communication
• Attention to detail
• Problem-solving mindset
• Cross-functional collaboration
• Time management in remote settings
• Comfort asking clarifying questions

Experience Expectations

Built In entry-level roles usually do not require years of direct experience, but they do expect evidence that you can do the work. That evidence may come from internships, class projects, research assistant work, or a personal portfolio. A strong GPA can help, but it is rarely the deciding factor on its own.

What matters more is whether you can show real output: a dashboard, a case study, a SQL query set, or a report that demonstrates your thinking. If you are applying to a Built In internship or early-career role, concrete examples will carry more weight than broad claims about being “passionate about data.”

Salary and Benefits

For remote entry-level data and analytics roles in Austin, market-based compensation commonly falls in the range of $58,000 to $78,000 annually, depending on the exact scope, your technical skills, and whether the role is internship, contract, or full-time. If SQL and dashboarding are required, pay can move toward the upper end of that range. Internship stipends, when available, are often paid hourly and may fall roughly between $22 and $35 per hour.

Benefits for a company like Built In may include remote work flexibility, home office support, paid time off, and opportunities to work with a visibly growing digital brand. Some teams may also offer learning budgets, mentorship, or access to training resources. The real long-term benefit is that entry-level analysts often have a credible path to full-time conversion or promotion into broader analytics, operations, or product roles.

Built In Hiring Process

Step-by-Step Hiring Stages

1. Application
2. Screening
3. Assignment
4. Interviews
5. Offer

The process is usually straightforward, but the competition is not. A strong application gets you into screening, where recruiters look for relevant tools, projects, and evidence that you understand the company’s business model. If you advance, expect a practical assignment or case exercise that tests how you think, not just how you calculate.

Application Timeline

Because the deadline is not specified, the safest strategy is to apply as soon as your materials are ready. Entry-level roles often move within two to four weeks, though that can vary depending on team urgency and candidate volume. If the role is remote and open to a broad pool, the early applicants often have an advantage simply because they are reviewed first.

Screening Methods

Recruiters and hiring managers typically screen for keyword alignment, relevant coursework, and evidence of analytical fluency. Your resume should mention tools like SQL, Excel, GA4, Tableau, Python, or Looker if you have actually used them. A portfolio is especially helpful if it shows business thinking, not just technical output.

• ATS-friendly resume formatting
• Role-specific keywords
• Portfolio or project links
• Clear evidence of metrics-driven work
• Concise, tailored cover letter language

Interview Preparation

Example Interview Questions

• How would you analyze a drop in traffic to a high-performing article or page?
• Tell us about a time you used data to change a recommendation.
• Which metrics would you track to evaluate content or audience performance?
• How do you ensure your reporting is accurate before sharing it?

How to Answer

Use the STAR method to keep answers structured: situation, task, action, and result. For analytics roles, the “action” section should explain your method in plain language, while the “result” should include numbers whenever possible. For example, instead of saying you improved a dashboard, explain how it reduced reporting time by 30% or helped your team spot a trend faster.

You should also be ready to walk through your reasoning step by step. Hiring teams want to see how you think when the answer is not obvious. If you make an assumption, say it directly and explain why it is reasonable.

What Recruiters Evaluate

• Analytical thinking
• Accuracy and attention to detail
• Communication with non-technical teams
• Business curiosity
• Ability to work independently
• Fit for remote collaboration

How to Get Selected

Practical Tips

Tailor your resume to the exact language of the posting. If the role mentions reporting, dashboards, and SQL, make those terms easy to find. Include one or two bullets that prove you can handle both numbers and communication, because that combination is what employers remember.

Build a small portfolio with one clean case study. It could be a traffic analysis, a simple cohort report, or a dashboard walkthrough. The goal is not to impress with complexity; it is to show judgment, organization, and clarity.

Common Mistakes to Avoid

• Applying with a generic resume that lacks relevant keywords
• Listing tools you cannot actually use
• Submitting work with formatting or calculation errors
• Giving vague interview answers with no metrics
• Ignoring the company’s audience, content, or business model

How to Stand Out

The strongest candidates connect analytics to real business outcomes. For Built In, that means understanding how audience behavior affects content strategy, how job seeker traffic affects conversions, and how reporting supports employer engagement. If you can speak that language, you immediately sound more credible.

Network lightly but intentionally. A thoughtful message to a recruiter, current analyst, or Built In employee can help you learn what the team actually values. Pair that with a tailored submission, and you are no longer just another applicant in the queue.

Final Thoughts

The Best Remote Entry Level Data & Analytics Jobs in Austin, TX at Built In can be an excellent launch point if you want to build real analytical experience in a modern, digital-first environment. The role rewards people who are precise, curious, and able to turn messy data into decisions that matter. That is exactly the kind of experience that compounds over time.

If you are serious about learning how to get hired at Built In, focus on proof over polish: show your tools, show your thinking, and show that you understand how data supports business goals. A thoughtful application, a clean portfolio, and a calm interview style can put you ahead of many candidates. Apply early, prepare deliberately, and make your analytical value easy to see.

Frequently Asked Questions

Salary range?

What is the salary for Best Remote Entry Level Data & Analytics Jobs in Austin, TX at Built In? A realistic market range is usually about $58,000 to $78,000 for full-time entry-level roles, with internship pay often around $22 to $35 per hour. Exact compensation depends on scope, skills, and team budget.

Hiring competition?

How competitive is it to get hired at Built In? It is moderately to highly competitive, mainly because the company has a strong brand, a focused niche, and remote-friendly opportunities that attract many qualified applicants. Candidates with SQL, dashboarding, and a clear project portfolio have a much better shot.

Top skills?

What skills are most important for this role? The most important skills are SQL, Excel or Google Sheets, dashboard reporting, analytical thinking, and clear communication. If you also understand SEO, audience metrics, or content performance analysis, you will be especially relevant for Built In.