Best Entry Level Data Analytics Jobs In Nyc

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

Introduction

If you are targeting Built In NYC for an entry-level data or analytics role, you are looking at one of the strongest launchpads for early-career growth in New York’s tech ecosystem. The best entry-level data & analytics jobs in NYC often sit at the intersection of research, reporting, operations, and product insight, which makes them valuable for candidates who want real business exposure, not just spreadsheet work. Deadline: Not mentioned.

This report breaks down what the role typically looks like, what hiring managers expect, and how to get hired at Built In NYC with a profile that feels genuinely job-ready. For new graduates and internship candidates, the upside is clear: strong analytical experience, recognizable brand exposure, and a resume builder that can open doors across media, SaaS, recruiting tech, and startup operations.

Overview of Built In NYC

Built In NYC is part of the broader Built In network, a tech media and recruiting platform focused on connecting professionals with companies in major innovation hubs. In practical terms, it serves as a discovery engine for jobs, employer branding, salary intelligence, and tech industry content. That mix makes it relevant both to job seekers and to companies that want to attract candidates in competitive markets like New York.

Its niche is stronger than a generic job board because it combines local market coverage with employer storytelling, salary data, and career content. That positioning puts it in the same conversation as other job discovery and employer branding platforms, but with a sharper focus on tech and innovation roles. The result is a useful ecosystem for companies looking to hire and candidates trying to understand where the market is moving.

From a market presence standpoint, Built In has grown by serving city-specific audiences and turning local recruiting into a content-driven product. That matters in New York, where employers compete aggressively for analysts who can turn data into decisions. People want to work with Built In because it sits close to the job market itself, giving employees a front-row seat to hiring trends, employer strategy, and digital talent acquisition.

The culture is likely to feel fast-moving, collaborative, and editorially aware, since the platform depends on timely content and accurate job information. Candidates are often drawn to this kind of environment because it rewards curiosity, communication, and ownership. If you like the idea of working at the intersection of data, content, and hiring intelligence, the Built In NYC internship or entry-level path has real appeal.

Best Entry Level Data & Analytics Jobs in NYC Role

Role Overview

An entry-level data & analytics role at Built In NYC typically supports research, reporting, content insights, job-market analysis, or internal operations tied to audience and employer performance. Day to day, the work usually involves collecting data, cleaning spreadsheets, checking trends, and turning raw information into something useful for editors, sales, product, or marketing teams. The business impact is simple but important: better decisions, sharper content, and more effective employer positioning.

For an internship, the scope is usually narrower and more supervised, but the expectation is still real contribution. You may help track employer activity, build basic dashboards, summarize market patterns, or support data-driven content. In an entry-level full-time role, you would likely own more recurring reporting and be expected to spot anomalies, explain trends, and maintain data accuracy.

Detailed Responsibilities

• Collect and organize data from internal systems, public sources, and platform reports.
• Clean spreadsheets and standardize messy datasets for analysis.
• Build recurring reports on traffic, engagement, candidate behavior, or employer performance.
• Support market research on hiring trends, salary ranges, and job demand in NYC.
• Create charts, tables, and simple dashboards for stakeholders.
• Document assumptions, sources, and methodology clearly.
• Partner with editors, recruiters, analysts, or marketers on insight requests.
• Check data quality and flag inconsistencies before reporting results.
• Summarize findings in concise, business-friendly language.

Day-to-Day Workflow

A realistic day often starts with reviewing a reporting queue, checking overnight data refreshes, and confirming nothing broke in a dashboard or spreadsheet. After that, you may spend a few hours cleaning data, comparing current performance to prior weeks, and pulling together notes for a manager or cross-functional partner. The middle of the day often includes ad hoc questions, such as identifying which job categories are growing fastest or why one campaign is outperforming another.

Later in the day, you might draft a short analysis memo, update a tracker, or prepare a visualization for a presentation. The role is rarely glamorous, but it is highly teachable if you are organized and detail-oriented. Strong candidates do not just produce numbers; they explain what the numbers mean and what should happen next.

Tools and Technologies

Most entry-level data and analytics roles at a platform like Built In NYC rely on a practical stack rather than highly specialized tools. The core tools often include Excel, SQL, and Looker or Tableau for dashboards, plus Google Sheets and Slides for collaboration. Depending on the team, you may also see Python, basic statistics tools, or CMS and analytics platforms tied to web performance.

For a Built In NYC internship, familiarity with data visualization and clean presentation matters as much as technical fluency. If you can use pivot tables, write simple SQL queries, and build a chart that tells a clear story, you will already be competitive for many entry-level tasks. Bonus points go to candidates who understand web analytics, audience metrics, and content performance reporting.

Skills and Requirements

Technical Skills

The strongest candidates typically understand spreadsheet analysis, query basics, and how to move from raw data to a useful insight. You do not need to be an advanced data scientist, but you should know how to sort, filter, summarize, and validate datasets without making careless mistakes. For many entry-level data & analytics jobs in NYC, a working knowledge of SQL, dashboard tools, and simple statistical reasoning is enough to get noticed.

Useful domain knowledge includes digital media metrics, recruiting funnel basics, web traffic reporting, and market research fundamentals. If you have touched reporting tools, GA-style analytics, or project work involving data cleaning and visualization, that gives you a real advantage. The goal is not perfection; it is proof that you can make data useful in a business setting.

Soft Skills

Communication matters just as much as technical ability, especially in a role that turns analysis into action. Hiring teams want people who can write clearly, ask smart questions, and explain uncertainty without sounding vague. Being reliable, responsive, and organized will often separate good candidates from forgettable ones.

Problem-solving is another major signal. If a dataset looks incomplete or contradictory, recruiters want to see that you know how to investigate instead of guessing. Teamwork matters too, because entry-level analysts at a company like Built In NYC often work across editorial, sales, product, and marketing functions.

Experience Expectations

For internship-level roles, a portfolio is often more persuasive than years of experience. Academic projects, class research, personal dashboards, and internship work all count if they show that you can analyze information and present a conclusion. For full-time entry-level roles, employers often look for one to two solid examples of reporting, research, or analytics work that demonstrate repeatable skill.

GPA may matter at the margin, but it rarely outweighs evidence of initiative. A candidate with a 3.4 GPA and a strong project portfolio can easily beat a higher-GPA applicant with no practical examples. The best applications show curiosity, technical basics, and the ability to communicate findings clearly.

Salary and Benefits

For the New York market, a realistic estimate for an entry-level data & analytics role is about $60,000 to $80,000 annually for full-time positions, with stronger packages possible if the role has more technical depth or sits on a high-growth team. Internship pay in NYC commonly ranges from about $20 to $35 per hour, depending on scope, duration, and whether the role is hybrid or fully in office. If the work is closer to research, reporting, or content analytics, compensation often lands toward the middle of that band.

Benefits may include hybrid flexibility, learning exposure, mentorship, and access to real work rather than shadowing only. Some teams also offer stipends for commuting, meals, or professional development, though these details vary by team and hiring cycle. Full-time conversion is possible when the internship is tied to an active team pipeline and the intern shows consistency, speed, and good judgment.

Built In NYC Hiring Process

Step-by-Step Hiring Stages

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

Application Timeline

Because the deadline is not mentioned, the safest move is to apply as soon as the role appears and before the posting becomes heavily circulated. For entry-level roles, hiring cycles can move quickly, especially if the team is trying to fill a need tied to reporting, campaign analysis, or seasonal workload. A typical process may take two to four weeks from application to offer, but it can move faster if the team is small.

Early applications matter because recruiters often screen on a rolling basis. If you wait too long, even a strong profile can lose momentum. For a Built In NYC internship, speed and timing are part of strategy.

Screening Methods

Initial screening usually looks for ATS-friendly keywords, relevant coursework, tools, and evidence of actual analysis work. If the role mentions SQL, Tableau, Excel, dashboards, reporting, or research, those should appear naturally in your resume where truthful. Recruiters also check whether your portfolio or project examples show clear structure, not just pretty visuals.

Expect a quick resume scan followed by a human review of how well your experience matches the day-to-day reality of the role. The strongest applications make it easy to see what you did, what tools you used, and what result you produced. If possible, include links to a portfolio, GitHub, Notion page, or sample report.

Interview Preparation

Example Interview Questions

• Walk me through a data project where you had to clean messy information and explain the result.
• How would you build a simple weekly report for job-category performance in NYC?
• Tell me about a time you found an error in a dataset or analysis. What did you do?
• Which metrics would you track to understand whether a job-content page is performing well?

How to Answer

Use the STAR method: situation, task, action, result. That structure works especially well for analytics interviews because it keeps your answers concrete and measurable. Do not just say you analyzed data; explain the problem, the tool you used, the choice you made, and what changed because of your work.

For technical questions, show your logic out loud. If you are asked how you would evaluate performance, talk through metrics, segmentation, trend comparisons, and data validation before jumping to conclusions. That process is usually more important than having the “perfect” answer.

What Recruiters Evaluate

Recruiters usually evaluate three things: accuracy, communication, and ownership. Accuracy shows up in how you handle data and detail. Communication shows up in whether you can explain findings clearly to nontechnical teammates. Ownership shows up in whether you can work independently, ask good questions, and keep moving without constant supervision.

How to Get Selected

Practical Tips

Tailor your resume to the exact language of the role. If the job is about data, analytics, and research, your application should emphasize reporting, dashboards, analysis, and measurable outcomes rather than generic teamwork language. Use short bullet points that show tools, actions, and results.

Bring one portfolio piece that feels close to the job. A clean dashboard, a market analysis memo, or a job-trend report for NYC is far more convincing than a broad class project with no business framing. If you can explain why your work matters to users, hiring managers will pay attention.

Common Mistakes to Avoid

The most common mistake is applying with a vague resume that lists responsibilities but no outcomes. Another mistake is failing to show tool usage, especially when the job clearly wants analytics fluency. Candidates also get rejected when their writing is unclear, their portfolio is hard to navigate, or they cannot explain the business value of their own work.

Do not overstate your experience. Built In NYC hiring teams will spot inflated claims quickly, and entry-level roles reward credibility more than exaggeration. A modest but well-explained project portfolio is better than a polished resume with no proof behind it.

How to Stand Out

The best way to stand out is to show that you understand the product context, not just the numbers. If you build a sample analysis on local hiring trends, employer branding, or content engagement in NYC, you signal that you already think like someone inside the company. That kind of contextual thinking is rare at the entry level.

Networking helps too, especially with employees or recruiters connected to tech media, analytics, or employer branding. A short, thoughtful message that mentions the role and your relevant project work can make your application more memorable. If you combine a tailored submission with a crisp portfolio and confident interview answers, you dramatically improve your odds of getting selected for a Built In NYC internship or entry-level role.

Final Thoughts

The best entry-level data & analytics jobs in NYC are ideal for candidates who want a real bridge between technical work and business decision-making, and Built In NYC sits in a strong position for exactly that kind of experience. If you can show accuracy, curiosity, and the ability to turn data into a clear story, you will be competitive for the role.

Focus on building one or two strong analytics projects, tailoring your resume carefully, and practicing answers that show how you think. If you are serious about how to get hired at Built In NYC, start by presenting yourself like someone who can already help the team make better decisions.

Frequently Asked Questions

Salary At Built In NYC?

The salary for best entry-level data & analytics jobs in NYC at Built In NYC is likely in the range of $60,000 to $80,000 for full-time roles, with internships commonly paying about $20 to $35 per hour based on market norms and scope. Exact pay depends on the team, seniority, and whether the position is internship-based or full-time.

Hiring Competitiveness?

It is moderately competitive because entry-level analytics talent in New York is strong and many applicants bring similar academic backgrounds. What separates candidates is not just coursework, but evidence of practical analysis, tool familiarity, and the ability to explain insights clearly.

Most Important Skills?

The most important skills are Excel, SQL, data cleaning, reporting, and clear communication. If you can also build simple dashboards and interpret trends in a business context, you will be much more competitive for a Built In NYC internship or entry-level role.