Data Analyst Remote

Data Analyst - Remote at Built In listings — Research Report

Introduction

The Data Analyst - Remote role at Built In listings is a strong fit for candidates who want to turn numbers into hiring, product, and market insights. In a platform that lives and dies by search quality, audience growth, and employer visibility, analysts are not background support — they help shape what users see, what employers pay for, and where the business invests next.

For this Built In listings internship or job search, the deadline is not mentioned, which usually means the posting is either evergreen, recently removed, or filled on a rolling basis. That makes speed and precision matter: applicants who understand the platform, can speak clearly about analytics, and can show measurable impact usually rise to the top.

If you are researching how to get hired at Built In listings, this role offers a rare combination of exposure to product analytics, marketplace data, and content performance. It is the kind of position that can sharpen your SQL, improve your business judgment, and give you a credible story for future roles in tech, media, SaaS, or recruiting platforms.

Overview of Built In listings

Built In is a technology-focused career platform that connects employers with skilled candidates across major U.S. metro markets. Its listings ecosystem is especially known for software, data, product, design, engineering, and startup-adjacent roles, with many postings framed around remote, hybrid, and metro-based work. In practice, Built In operates as both a job board and an employer branding channel.

The company’s niche is competitive but differentiated. Compared with broad job boards, Built In leans into curated tech audiences and city-specific visibility, which gives it a stronger identity among employers trying to reach specialized talent. That positioning puts it in the same conversation as large-scale job platforms, tech recruiting marketplaces, and niche employer-branding networks, but with a sharper focus on local tech ecosystems and role quality.

Built In listings is valuable because it sits at the intersection of content, audience, and recruiting. Employers use it to reach job seekers; candidates use it to discover roles; and the business itself benefits when traffic, engagement, and conversion all move in the right direction. That creates a data-rich environment where analysts can directly influence growth.

People want to work there because the company offers a visible product with measurable outcomes. Analysts can see the effect of their work in search rankings, application flows, employer pages, job performance, and user engagement metrics. For candidates who like practical analytics over abstract reporting, that kind of environment is appealing.

Data Analyst - Remote Role

Role Overview

The Data Analyst - Remote role typically centers on collecting, cleaning, interpreting, and presenting data that supports business decisions. At a company like Built In, that often means working with job performance data, user behavior, employer campaign metrics, and content engagement trends. The analyst is expected to find patterns that help teams improve conversion, visibility, and platform efficiency.

Day to day, the role can have a real business impact. A single analysis might help improve click-through rates on listings, identify which employer pages underperform, or show where candidates drop off in the application funnel. That is why this role is less about producing static reports and more about answering high-value questions fast.

Detailed Responsibilities

• Pull and clean data from internal dashboards, databases, and reporting systems.
• Build recurring reports on traffic, engagement, applications, and conversion metrics.
• Analyze user behavior across job listings, employer pages, and content pages.
• Support product, growth, sales, or marketing teams with ad hoc analysis.
• Create visualizations that make performance trends easy to understand.
• Track KPI changes and explain what likely caused movement.
• Flag data quality issues and help improve reporting consistency.
• Document methodologies so stakeholders can trust the numbers.
• Present findings in a concise, business-friendly format.

Day-to-Day Workflow

A realistic day often starts with checking dashboard updates, reviewing open requests, and identifying anything unusual in the data. From there, the analyst may spend time writing SQL queries, validating results, and building charts in Tableau or Looker. The afternoon might include a stakeholder meeting to explain a trend, followed by cleanup work to improve a recurring report or refine a metric definition.

In a remote setup, communication matters as much as technical work. Analysts are expected to write clearly in Slack, summarize findings without jargon, and keep projects moving without constant supervision. The strongest performers are usually the ones who can switch between detail-heavy analysis and crisp executive summaries.

Tools and Technologies

While exact stacks vary by team, a Data Analyst - Remote role at Built In listings would commonly rely on tools such as SQL, Excel or Google Sheets, Tableau, Looker, or Power BI, plus a collaboration layer like Slack, Notion, or Jira. Many analytics teams also use Python for deeper analysis, especially when data cleaning, automation, or statistical testing is needed.

Depending on the workflow, the analyst may also interact with CRM or marketing platforms, web analytics tools, and internal databases. Strong candidates are comfortable moving between spreadsheets, dashboards, and query editors without needing much hand-holding.

Skills and Requirements

Technical Skills

The core requirement is the ability to work comfortably with data. SQL is usually the most important technical skill because it powers segmentation, metric validation, and ad hoc analysis. Spreadsheet fluency still matters too, especially for quick QA, scenario modeling, and stakeholder-ready summaries.

• SQL for querying relational data
• Excel or Google Sheets for analysis and quick modeling
• Dashboard tools such as Tableau, Looker, or Power BI
• Basic statistics and data interpretation
• Familiarity with funnel, cohort, and trend analysis
• Comfort using Python or R for deeper analysis, if applicable

Soft Skills

Strong communication is essential because the analyst often translates technical findings into business language. Curiosity matters too, since the best analysts do not stop at describing what happened; they look for why it happened and what should happen next. In a remote role, accountability and responsiveness are especially important because progress depends on clear follow-through.

• Clear written communication
• Stakeholder management
• Problem-solving under ambiguity
• Attention to detail
• Ability to prioritize multiple requests
• Comfort explaining data to non-technical teammates

Experience Expectations

For many Data Analyst - Remote openings, employers look for a relevant degree or equivalent project experience rather than a perfect resume. A strong portfolio can outweigh a lot of noise. Candidates who can show SQL projects, dashboard samples, or a case study with business recommendations tend to look more credible than those who only list coursework.

GPA is usually less important than proof of analytical thinking. If you are early career, the strongest signals are measurable projects, internship experience, research work, or work samples that show you can ask good questions and produce clean analysis.

Salary and Benefits

Because the exact posting details were not provided, the most realistic market estimate for a remote Data Analyst role tied to a U.S.-based tech platform is roughly $65,000 to $95,000 for early to mid-level talent, with higher compensation possible if the scope includes product analytics, growth analytics, or advanced SQL and experimentation work. Intern-level compensation would usually be lower and may land in the hourly range of about $25 to $40 depending on experience and location.

Benefits at companies like Built In listings often include remote flexibility, paid time off, learning resources, and access to cross-functional experience that accelerates growth. In some cases, analysts also get exposure to fast-moving teams, which can be more valuable than a small salary difference early in a career. If the role is contract-to-hire or internship-based, full-time conversion may be possible when performance is strong and the business need continues.

Built In listings Hiring Process

Step-by-Step Hiring Stages

1. Application: Submit a tailored resume, relevant projects, and a concise cover note that matches the posting.
2. Screening: A recruiter reviews fit, communication style, and basic technical alignment.
3. Assignment: Candidates may complete a small analytics task, SQL exercise, or business case.
4. Interviews: Expect one or more conversations with the hiring manager and potential cross-functional teammates.
5. Offer: The final stage usually combines skill fit, communication, and team alignment.

Application Timeline

For remote analytics roles, the process often moves in one to three weeks if the team is actively hiring. If the posting is competitive or the role is evergreen, it can take longer. Since the deadline is not mentioned, applying early is the safest strategy, especially if the job board has been refreshed recently or the role may have been removed from circulation.

Screening Methods

Recruiters usually scan for ATS-friendly keywords like SQL, dashboards, reporting, analytics, data visualization, and business intelligence. A portfolio link can help, but only if it is easy to review and directly relevant. If you include projects, choose ones that show not just charts, but decision-making: what you found, why it mattered, and what action you recommended.

Interview Preparation

Example Interview Questions

• How would you measure whether a job listing is performing well?
• Tell us about a time you found a data discrepancy and resolved it.
• Which metrics would you use to evaluate candidate engagement on a listings page?
• How do you prioritize multiple analytics requests from different teams?

How to Answer

Use the STAR method for behavioral questions: describe the situation, explain the task, walk through the action, and end with the result. For technical or business questions, start with the metric definition, explain the data source, then describe the logic you would use. Strong answers sound structured, not rehearsed.

Hiring teams want to hear how you think. If you do not know the exact answer, explain your approach to validation, tradeoffs, and assumptions instead of guessing.

What Recruiters Evaluate

• Ability to work independently in a remote environment
• Analytical rigor and data accuracy
• Communication clarity with non-technical teams
• Practical understanding of business metrics
• Evidence of initiative and ownership
• Fit with a fast-paced, cross-functional workflow

How to Get Selected

Practical Tips

Tailor your resume to the exact language of the role. If the posting emphasizes reporting, dashboards, and cross-functional work, your resume should reflect those terms naturally. Add one or two outcomes to each project or job bullet so your experience reads like impact, not just activity.

Keep your portfolio simple and easy to scan. One strong SQL case study, one dashboard sample, and one business insight write-up can be more effective than a cluttered collection of unrelated work. If possible, include metrics, screenshots, and a short explanation of what decision the analysis supported.

Common Mistakes to Avoid

• Submitting a generic resume with no role-specific keywords.
• Listing tools without showing what you built with them.
• Giving vague interview answers with no business outcome.
• Ignoring data quality and validation in your examples.
• Over-focusing on technical detail and under-explaining the insight.

How to Stand Out

The best way to stand out is to think like the company already hired you. Analyze a public Built In listings page, identify a performance issue, and prepare one slide or short write-up on how you would improve it. That shows practical judgment and makes it easier for the recruiter to imagine you in the role.

Networking also helps. If you can connect with current or former employees, ask about the team’s reporting rhythm, the metrics they care about, and what separates good analysts from average ones. Those details can make your application and interviews much sharper.

Final Thoughts

The Data Analyst - Remote role at Built In listings is a smart target for candidates who want high visibility, measurable impact, and steady career growth. It combines analytical depth with real business relevance, which is exactly why it can be such a strong launching point for a future in tech analytics or product strategy.

If you are serious about this opportunity, focus on one thing: prove that you can turn data into decisions. That mindset, more than any single tool, is what will help you get selected, perform well, and grow quickly once you are inside.

Frequently Asked Questions

Salary Range

The estimated salary for a Data Analyst - Remote role at Built In listings is typically around $65,000 to $95,000 for early to mid-level candidates, with internship pay generally lower and dependent on scope and experience.

Hiring Difficulty

Getting hired at Built In listings is moderately competitive because the company attracts candidates with strong analytics, communication, and product sense. Applicants who can show direct impact with SQL, dashboards, and business metrics usually have an advantage.

Top Skills Needed

The most important skills are SQL, dashboard reporting, data interpretation, and clear communication. Candidates who can also explain trends, validate data, and recommend actions will be especially strong for this role.