Remote Entry Level Data Analytics Jobs

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

Introduction

Remote entry level data & analytics jobs at Built In Austin appeal to candidates who want practical exposure to business metrics, product insights, and data-driven decision-making without relocating full-time. For early-career applicants, this kind of role is valuable because it builds transferable skills in reporting, analysis, stakeholder communication, and modern analytics workflows. The internship/job period here is Deadline: Not mentioned, so candidates should treat the opportunity as one that may move quickly once applications are reviewed.

If you are trying to figure out how to get hired at Built In Austin, this role is especially useful because it sits at the intersection of data, editorial, and tech ecosystem visibility. You are not just analyzing numbers; you are helping shape how data informs content, audience growth, and platform decisions. That makes the experience relevant for future jobs in analytics, operations, business intelligence, growth, and product support.

Overview of Built In Austin

Built In Austin is part of the Built In network, a digital platform focused on technology hiring, employer branding, and local tech communities. In practical terms, it connects tech companies with candidates while also publishing employer content, job listings, and market intelligence for major tech hubs. Its niche is stronger than a general job board because it blends recruiting media, local market expertise, and audience engagement.

The platform competes with broader hiring ecosystems and city-specific tech communities, but its advantage is specialization. Built In Austin serves employers that want visibility in the Austin tech market and candidates looking for remote or local roles tied to that ecosystem. Its key services typically include job listings, company profiles, employer branding, sponsored content, and talent reach across tech audiences.

People want to work at Built In Austin because the company sits close to fast-moving hiring trends and gives employees exposure to how tech recruiting actually works. The environment tends to reward people who can combine analytical thinking with communication and execution. For early-career candidates, that mix is attractive because it creates a steep learning curve and a credible resume line for future roles.

Remote Entry Level Data & Analytics Jobs Role

Role Overview

An entry level data & analytics role at Built In Austin is usually centered on gathering, cleaning, organizing, and interpreting information that supports business or audience decisions. Depending on the team, the work may involve marketing analytics, reporting dashboards, content performance, candidate engagement metrics, or operational analysis. The core expectation is that you help teams understand what is happening, why it is happening, and what to do next.

This role has a direct business impact because data often drives content strategy, employer visibility, lead generation, and user experience improvements. Even at the entry level, your work can influence how efficiently teams prioritize campaigns, measure performance, and identify growth opportunities. Strong analysis helps the company make better decisions with less guesswork.

Detailed Responsibilities

• Pull and clean data from reporting tools, spreadsheets, or analytics platforms.
• Build recurring reports that track traffic, engagement, conversions, or campaign performance.
• Support dashboard updates in tools like Looker, Tableau, or Power BI.
• Check data quality, identify anomalies, and flag inconsistencies before reporting.
• Summarize findings for non-technical stakeholders in clear business language.
• Assist with market research and competitor benchmarking.
• Help analyze content or campaign results to improve future performance.
• Maintain organized documentation for metrics definitions, formulas, and recurring workflows.

Day-to-Day Workflow

A realistic day often starts with checking dashboards or scheduled reports to see whether any key metrics changed overnight. You may spend part of the morning cleaning spreadsheet data, refreshing reports, or validating a new data pull against prior numbers. After that, you might join a team meeting to discuss recent performance and explain what the trends mean.

Afternoons are often reserved for deeper analysis, documentation, or one-off requests from managers and teammates. A common pattern is: identify a question, gather the data, compare it against past performance, and turn the answer into a short recommendation. The best early-career analysts are not just accurate; they are fast enough to keep the team moving.

Tools and Technologies

Remote entry level data & analytics work at a company like Built In Austin usually relies on a practical mix of business and analytics tools. You may not use every tool every day, but you should be comfortable moving across spreadsheets, dashboards, and reporting systems.

• Excel or Google Sheets for cleanup, formulas, pivots, and quick analysis.
• SQL for querying structured data and validating reports.
• Tableau, Looker, or Power BI for dashboards and visual reporting.
• GA4 or similar web analytics tools for audience and conversion tracking.
• CRM or ATS-style platforms if the role touches recruiting or lead data.
• Slack, Notion, Asana, or Jira for collaboration and task tracking.

Skills and Requirements

Technical Skills

For a Built In Austin internship or entry level analytics role, employers usually look for solid fundamentals rather than advanced specialization. The most useful technical skills include spreadsheet fluency, basic SQL, data visualization, and a working understanding of how digital metrics are defined. You should be comfortable reading data tables, filtering records, and turning raw numbers into a simple narrative.

Domain knowledge matters too. Familiarity with marketing funnels, audience behavior, web traffic metrics, or recruiting performance indicators can make your application stronger. If you have worked on class projects involving dashboards, cohort analysis, survey data, or campaign measurement, that experience is highly relevant.

Soft Skills

Soft skills matter just as much because analytics work is only valuable when other people can use it. You need to communicate findings clearly, ask sharp questions, and stay organized when juggling multiple requests. Attention to detail is critical, especially when small data errors can distort reporting.

Built In Austin would also value curiosity, responsiveness, and a collaborative mindset. The strongest candidates can explain what they found, why it matters, and what next step they recommend. That ability to translate data into action is often what separates average applicants from the ones who move forward.

Experience Expectations

For remote entry level data & analytics jobs, the expectation is usually not years of professional experience. Instead, hiring managers want evidence that you can work with data in a structured way and learn quickly. A strong internship, campus project, freelance assignment, research project, or portfolio case study can be enough to get attention.

Many candidates ask whether GPA matters. In practice, a strong GPA can help if you are early in your career, but it is rarely enough on its own. A clean resume, relevant coursework, and concrete project examples usually matter more than a number alone.

Salary and Benefits

For remote entry level data & analytics roles tied to Austin-based tech employers, a realistic market-based salary range is often about $55,000 to $75,000 annually for full-time entry level work, with internships typically paid hourly in the range of $22 to $35 depending on scope and experience. If the role leans more toward business analytics or reporting than engineering, compensation may sit in the middle of that range rather than the top end.

Benefits can vary by team and employment type, but remote-friendly roles often include flexible schedules, equipment support, learning resources, and occasional stipends for home office needs. Some teams also offer professional development budgets, access to internal mentorship, or a pathway to full-time conversion if performance is strong and headcount opens up. For candidates, that conversion opportunity is one of the biggest long-term advantages of an internship-style role.

Built In Austin Hiring Process

Step-by-Step Hiring Stages

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

The process for a role like this usually begins with an online application that is reviewed for baseline fit, relevant coursework, and evidence of analytical ability. If selected, candidates often move into a recruiter screen, followed by a short assignment or practical exercise that tests data judgment and communication. Final interviews often focus on teamwork, problem-solving, and how you explain your thinking under pressure.

Application Timeline

Because the deadline is not mentioned, the safest approach is to apply as soon as possible rather than waiting to “polish” your materials indefinitely. Early-career analytics roles can fill quickly when a recruiter finds a strong match. In many cases, the full process from application to offer can take two to four weeks, though faster or slower cycles are both possible.

Screening Methods

Screening usually starts with resume review and keyword matching, so your application should mirror the role’s language where appropriate. Include terms such as analytics, reporting, SQL, dashboards, data visualization, stakeholder communication, and process improvement when they accurately reflect your experience. If the role requests a portfolio, make sure it shows not just visuals but also the logic behind your analysis.

Interview Preparation

Example Interview Questions

• How would you investigate a sudden drop in dashboard traffic or conversions?
• Tell us about a time you cleaned messy data and what you did to validate it.
• How do you explain a technical finding to a teammate without a data background?
• Which metrics would you track to evaluate a content or employer branding campaign?

How to Answer

The best way to answer these questions is with a structured format like STAR: situation, task, action, and result. Start with the context, explain your specific role, describe the exact steps you took, and end with what changed because of your work. For analytics roles, always include how you checked your assumptions and verified the data.

When discussing metrics or findings, be precise. Instead of saying something was “better,” explain by how much and why that improvement mattered. Recruiters like candidates who can move from raw observation to practical insight without rambling.

What Recruiters Evaluate

Recruiters are usually evaluating accuracy, communication, and judgment. They want to know whether you can work independently, ask the right questions, and avoid careless mistakes. They also look for evidence that you can operate in a remote environment without needing constant supervision.

Another major factor is business thinking. Strong candidates do not just report numbers; they connect those numbers to actions, priorities, or decisions. That mindset is especially important at a company like Built In Austin, where the role may touch marketing, content, or audience performance.

How to Get Selected

Practical Tips

Tailor your resume to the role by highlighting analytics coursework, spreadsheet work, SQL, dashboard projects, and any experience with performance tracking. Keep bullet points outcome-focused and specific, such as reducing manual reporting time, improving data accuracy, or identifying a trend that changed a decision. If you have a portfolio, make it easy to scan and directly relevant.

Prepare one or two project stories that show how you handled ambiguity. Built In Austin will likely appreciate candidates who can work with incomplete information, clean up messy inputs, and still produce a clear result. That is a very real part of entry level analytics work.

Common Mistakes to Avoid

• Submitting a generic resume that does not mention analytics tools or measurable outcomes.
• Listing tools without showing how you used them.
• Giving interview answers that describe tasks but not results.
• Ignoring data validation and quality control in your examples.
• Failing to show why you want this specific Built In Austin internship or job.

How to Stand Out

The strongest way to stand out is to bring proof, not just interest. A polished portfolio with one or two clear case studies can make a large difference, especially if you show the problem, the dataset, the process, and the final recommendation. Even a simple dashboard project can be impressive if it is clean, well-labeled, and business-focused.

Networking also helps. Reach out to alumni, recruiters, or current employees with a short, respectful message that references the role and your relevant experience. A tailored submission combined with visible initiative often signals the exact traits that early-career analytics teams want.

Final Thoughts

Remote entry level data & analytics jobs at Built In Austin are a strong fit for candidates who want real analytical responsibility, a modern remote work setup, and the chance to build a credible foundation in business data. The role rewards people who are organized, curious, and comfortable turning raw information into decisions that matter. If you are serious about how to get hired at Built In Austin, the winning formula is simple: tailor your application, prove your technical basics, and show that you can communicate insights clearly.

Start with a focused resume, prepare a few strong project stories, and apply with the mindset that your analysis should already feel useful to a real team. That approach will make your candidacy far more compelling than a generic “data enthusiast” profile.

Frequently Asked Questions

Salary Range

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

A realistic market-based estimate is about $55,000 to $75,000 for full-time entry level roles, while internships are often paid in the range of $22 to $35 per hour. Actual compensation depends on scope, prior experience, and whether the role is closer to reporting, marketing analytics, or business intelligence.

Hiring Competition

How competitive is it to get hired at Built In Austin?

It is typically competitive because candidates are often evaluated on both technical basics and communication ability. Early-career applicants who show SQL, spreadsheet fluency, strong project examples, and a clear interest in the Austin tech ecosystem usually have a better chance of advancing.

Top Skills

What skills are most important for this role?

The most important skills are SQL, spreadsheet analysis, data visualization, clear communication, and attention to detail. Just as important is the ability to explain findings in business terms and recommend next steps without overcomplicating the message.