Best Remote Data Analytics Jobs In Los Angeles Ca

Best Remote Data & Analytics Jobs in Los Angeles, CA at Built In LA — Research Report

Introduction

The Best Remote Data & Analytics Jobs in Los Angeles, CA at Built In LA is the kind of role that appeals to candidates who want real exposure to modern analytics work without being tied to a traditional office-first schedule. For job seekers targeting a Built In LA internship or full-time role, this type of position can be a strong entry point into data reporting, business intelligence, product analytics, and remote collaboration.

The internship/job period shows Deadline: Not mentioned, which usually means applicants should move quickly and submit a polished application as soon as possible. If your goal is to learn how to get hired at Built In LA, this report breaks down the role, the likely expectations, the hiring process, and the practical steps that can improve your odds.

Overview of Built In LA

Built In LA is part of the larger Built In network, a career and community platform focused on connecting technology companies with talent in major U.S. markets. In Los Angeles, it sits at the intersection of tech recruiting, employer branding, and local hiring visibility, helping companies reach candidates in data, engineering, product, marketing, and analytics.

Its niche is not software infrastructure or consumer products in the traditional sense. Instead, Built In LA operates as a talent marketplace and editorial platform for the local tech ecosystem, which makes it relevant to employers that want to compete for analysts and data professionals in a crowded market. That positioning places it alongside job boards, talent platforms, and tech-media competitors that serve the same regional hiring audience.

The platform’s core value comes from combining jobs content, employer profiles, and market-specific audience reach. For candidates, that means access to curated openings and company context in one place. For employers, it means visibility with candidates who are actively exploring roles in Los Angeles and remote-friendly opportunities.

People want to work here because the environment is likely to reward curiosity, communication, and a strong grasp of digital content and data signals. A company like this tends to value employees who can connect hiring trends, audience behavior, and recruiting outcomes in practical ways. That makes it appealing to analysts who want their work to influence real hiring decisions and product strategy.

Best Remote Data & Analytics Jobs in Los Angeles, CA Role

Role Overview

This role typically centers on analyzing job-market, audience, or platform data to help improve product performance, employer visibility, and content strategy. In a remote data and analytics setting, the day-to-day work often combines reporting, dashboarding, data validation, and cross-functional support for business decisions.

The impact is direct: your analysis can influence which jobs are promoted, how users engage with listings, which companies perform best, and what content or features drive conversions. For a Built In LA internship, the learning curve is usually steep, but so is the exposure to practical analytics work that hiring teams care about.

Detailed Responsibilities

• Pull, clean, and organize data from dashboards, spreadsheets, or internal systems.
• Track job-posting performance, audience engagement, and conversion metrics.
• Build recurring reports for recruiting, editorial, or sales teams.
• Identify trends in remote job demand, location targeting, and candidate behavior.
• Support ad hoc analysis requests from managers and cross-functional partners.
• Document assumptions, definitions, and data sources clearly.
• Flag data quality issues and help improve reporting accuracy.

Day-To-Day Workflow

A realistic day in this role often starts with checking dashboard performance and responding to open requests from teammates. Midday usually shifts to analysis work: cleaning a dataset, comparing month-over-month trends, or building a simple visualization in Tableau, Looker, or Excel.

You may also spend time in Slack or meetings clarifying metric definitions, because analytics work is only useful when everyone agrees on what the numbers mean. Toward the end of the day, you might summarize findings in a memo, prepare a presentation slide, or update a shared report for leadership.

Tools and Technologies

The exact stack depends on the team, but a remote data and analytics role at a company like Built In LA usually touches a mix of reporting and collaboration tools. Candidates should be comfortable with a practical, business-facing analytics toolkit rather than just academic statistics software.

• Excel or Google Sheets for quick analysis and data cleanup
• SQL for querying relational databases
• Tableau, Looker, or Power BI for dashboards and reporting
• Python or R for deeper analysis and automation
• Slack, Zoom, and Notion or Confluence for communication and documentation
• GA4, CRM tools, or job-performance analytics platforms if the team tracks user behavior and conversions

Skills and Requirements

Technical Skills

Candidates for the Best Remote Data & Analytics Jobs in Los Angeles, CA should show comfort with data wrangling, basic statistics, and business reporting. Strong SQL is often the biggest technical signal, especially if you can write clean queries with joins, aggregations, and date logic.

Beyond SQL, employers look for familiarity with visualization tools, spreadsheet modeling, and a working understanding of metrics like conversion rate, click-through rate, engagement, retention, and funnel performance. If you can explain not just what changed but why it matters, you will stand out quickly.

Soft Skills

Remote analytics teams need people who can communicate clearly without overexplaining or hiding behind jargon. Strong candidates can turn a messy question into a structured analysis and then translate the result into plain English for non-technical stakeholders.

Problem-solving, ownership, and responsiveness matter just as much as technical skill. In a distributed environment, recruiters look for candidates who can work independently, ask smart questions, and keep projects moving without constant supervision.

Experience Expectations

For internship-level roles, the expectations usually center on coursework, portfolio projects, or prior internship exposure rather than years of full-time experience. A strong candidate often has one or more projects involving SQL, dashboards, experimentation, or business analysis.

A GPA can help if it is strong, but it is rarely enough on its own. What matters more is whether your resume shows evidence that you can work with data, communicate findings, and handle ambiguity in a business context.

Salary and Benefits

For remote data and analytics roles in Los Angeles, realistic market compensation usually depends on whether the opening is an internship, early-career analyst role, or a more senior data position. Internship pay commonly falls around $22 to $35 per hour, while full-time entry-level analytics roles in Los Angeles often land around $70,000 to $95,000 annually, with stronger offers possible for candidates with SQL, Python, and dashboard experience.

Benefits may include remote flexibility, tech stipends, wellness support, training resources, and access to internal learning opportunities. If the role is part of a larger growth organization, there may also be a path to full-time conversion, which is especially valuable because internship retention is often strongest when employers already know a candidate can perform well in the role.

Built In LA Hiring Process

Step-By-Step Hiring Stages

1. Application: Submit a resume, and often a tailored summary or project portfolio if requested.
2. Screening: A recruiter reviews your background, communication style, and fit for the team.
3. Assignment: Some candidates are asked to complete a short data exercise, case study, or reporting task.
4. Interviews: Expect one or more rounds with analytics, hiring, or cross-functional stakeholders.
5. Offer: Final evaluation usually balances skills, communication, and ability to work independently in a remote setting.

Application Timeline

Because the deadline is not mentioned, it is safest to apply immediately rather than wait for a formal cutoff. Many analytics roles move in one to three weeks from application to final round, though timelines can stretch if multiple teams are involved.

Applicants who submit a strong, customized resume and a concise portfolio often move faster through screening. If the posting is high-volume, early submission can matter as much as experience.

Screening Methods

Screening usually starts with keywords. Recruiters and applicant tracking systems often look for terms like SQL, Tableau, Python, dashboards, data analysis, reporting, forecasting, and business intelligence.

They may also review portfolio links, GitHub repos, Tableau Public dashboards, or project summaries. If your application only lists coursework without any applied examples, it is much harder to signal readiness for a real analytics workflow.

Interview Preparation

Example Interview Questions

• Tell us about a time you used data to influence a business or product decision.
• How would you measure the performance of a remote job listing page?
• Walk me through a dashboard or analysis project you built from scratch.
• What would you do if two reports showed different values for the same metric?

How To Answer

The strongest answers use the STAR method: situation, task, action, and result. That structure keeps you from drifting into vague descriptions and makes it easier for interviewers to see how you think.

When discussing analytics work, always include the business question, the method you used, the insight you found, and the impact of your recommendation. If you did not drive measurable results, explain what decision your work enabled.

What Recruiters Evaluate

Recruiters want to know whether you can handle the technical basics, communicate clearly, and work independently in a remote setting. They also look for evidence that you are genuinely interested in data, not just looking for any internship title.

In practical terms, they are assessing your query quality, your presentation skills, your attention to detail, and your ability to explain messy problems without sounding confused or overconfident.

How To Get Selected

Practical Tips

• Tailor your resume to analytics, not general business or general tech roles.
• Show specific tools, metrics, and outcomes for every project you list.
• Include one portfolio project that demonstrates SQL and visualization work.
• Use metrics whenever possible, such as reduced time, improved accuracy, or increased engagement.
• Write a short but targeted cover note that explains why Built In LA fits your goals.

Common Mistakes To Avoid

Many candidates get rejected because they describe responsibilities instead of results. Saying you “worked on data” is too vague; saying you built a dashboard that tracked weekly conversion trends is much stronger.

Other common mistakes include weak formatting, missing keywords, unclear project descriptions, and submitting generic applications that could apply to any company. In a competitive analytics search, generic almost always loses.

How To Stand Out

The best way to stand out is to make your application feel like proof, not promise. A short case study, a clean GitHub repository, or a dashboard walkthrough can show more than a page of bullet points.

Networking also helps. If you can connect with current or former employees, ask informed questions about the team’s metrics, tools, and reporting challenges, then reference what you learned in your application or interview.

Finally, tailor your examples to the role. If the company cares about remote job demand, audience growth, or employer engagement, make your projects feel relevant to those exact problems.

Final Thoughts

The Best Remote Data & Analytics Jobs in Los Angeles, CA at Built In LA can be an excellent opportunity for candidates who want practical experience, visible impact, and a remote-friendly workflow. It is especially appealing if you want to build credibility in analytics while learning how a modern hiring platform uses data to guide business decisions.

If you are serious about getting hired, focus on a tight resume, one strong portfolio example, and a clear story about why data work matters to you. Apply early, show your technical range, and make it obvious that you can turn numbers into decisions.

Frequently Asked Questions

Salary Range

The salary for Best Remote Data & Analytics Jobs in Los Angeles, CA at Built In LA is not publicly specified in the prompt, but market-based estimates suggest $22 to $35 per hour for internships and roughly $70,000 to $95,000 for entry-level full-time roles in Los Angeles.

Hiring Difficulty

It is competitive to get hired at Built In LA because analytics roles usually attract candidates with SQL, dashboarding, and business insight experience. Applicants with clear portfolios, strong communication skills, and relevant projects have a much better chance of moving forward.

Top Skills Needed

The most important skills are SQL, data visualization, spreadsheet analysis, attention to detail, and the ability to explain findings clearly. For remote work, communication and self-management are just as important as the technical stack.