Best Entry Level Data Analytics Jobs In Nyc Ny 2026

Best Entry Level Data & Analytics Jobs in NYC, NY 2026 at Built In NYC listings — Research Report

Introduction

The Best Entry Level Data & Analytics Jobs in NYC, NY 2026 search on Built In NYC listings is a strong starting point for candidates who want practical experience, visible project work, and a credible path into analytics, business intelligence, or data operations. For job seekers asking how to get hired at Built In NYC listings, this type of role is valuable because it combines real business exposure with skills that translate directly into full-time analytics careers.

For this report, the internship/job period is listed as Deadline: Not mentioned, so applicants should assume positions may move quickly and should prepare to apply early. In New York’s competitive entry-level market, that timing matters almost as much as the resume itself.

Overview of Built In NYC listings

Built In NYC listings is best understood as a high-visibility job marketplace focused on tech, startup, and digital roles in New York City. It is not a single employer in the traditional sense; instead, it curates roles from companies hiring in the NYC ecosystem, including entry-level data and analytics jobs that appeal to early-career professionals.

Its niche is especially strong in the tech-adjacent hiring space, where candidates want roles at companies that value analytical thinking, product insight, and measurable business impact. In that sense, Built In NYC listings competes with broad job boards and niche career platforms, but its value comes from its local focus and its emphasis on tech-forward employers.

For candidates, the appeal is straightforward: Built In NYC listings makes it easier to find roles that are aligned with modern data work, including dashboards, reporting, business analysis, growth analytics, and operations support. That makes it a useful gateway for people targeting the Best Entry Level Data & Analytics Jobs in NYC, NY 2026.

People want to work through listings like these because the opportunities often sit at the intersection of business, product, and technical problem-solving. In New York, that can mean exposure to industries such as media, fintech, adtech, health tech, SaaS, and consumer platforms, all of which value candidates who can turn raw data into decisions.

Best Entry Level Data & Analytics Jobs in NYC, NY 2026 Role

Role Overview

An entry-level data and analytics role in this market usually focuses on collecting data, cleaning datasets, building reports, and helping teams understand what the numbers mean. Day to day, the work may support product, marketing, operations, or finance teams, depending on the company.

The business impact is often larger than the title suggests. A strong entry-level analyst can help teams spot funnel drop-offs, identify campaign performance trends, improve dashboard accuracy, and reduce manual reporting time.

Detailed Responsibilities

• Pull, clean, and validate data from internal systems and reporting tools.
• Build recurring dashboards and weekly performance reports.
• Analyze trends in user behavior, revenue, operations, or marketing performance.
• Support ad hoc requests from managers, product teams, or executives.
• Document methodology, assumptions, and metric definitions clearly.
• Flag data quality issues and help resolve inconsistencies across sources.
• Summarize findings in concise slides, memos, or meeting notes.

Day-to-Day Workflow

A realistic workflow starts with checking reports, resolving any data refresh issues, and confirming that key dashboards are current. From there, the analyst may spend time in Excel, SQL, or BI tools pulling data for a manager who needs a performance readout before a meeting.

Later in the day, the role may shift toward analysis: comparing time periods, breaking down metrics by segment, or finding the reason behind an unexpected change. The strongest candidates are not just fast with data; they are careful enough to make the numbers understandable to non-technical stakeholders.

Tools and Technologies

Most entry-level data and analytics jobs in NYC expect comfort with a practical stack rather than advanced engineering tools. Common platforms include SQL databases, Excel or Google Sheets, Tableau, Looker, Power BI, and sometimes Python for lighter analysis or automation.

Depending on the team, candidates may also touch CRM or product tools such as Salesforce, GA4, Amplitude, Mixpanel, or spreadsheets connected to internal reporting systems. Familiarity with Jupyter notebooks, basic statistics, and A/B test interpretation can be a strong advantage.

Skills and Requirements

Technical Skills

For the Built In NYC listings internship or entry-level role, employers generally expect a baseline of analytical fluency rather than years of experience. The most important technical skill is SQL, followed closely by Excel skills that go beyond basic formulas.

Candidates should understand how to join tables, filter records, aggregate metrics, and verify outputs. Knowledge of data visualization tools is also helpful because many teams want analysts who can turn data into clean, readable dashboards.

Soft Skills

Communication matters as much as technical ability in these roles. Analysts often translate messy or complex findings into language that product managers, marketers, and operators can act on immediately.

Strong candidates are curious, organized, and comfortable asking clarifying questions. They also know how to manage deadlines, handle feedback, and stay precise when working with numbers that influence decisions.

Experience Expectations

Entry-level usually means the company will consider candidates with internships, class projects, case competitions, campus leadership, or independent analytics work. A polished portfolio can sometimes matter more than a long resume.

Many hiring teams like to see evidence of SQL practice, dashboard examples, business case studies, or a project that shows how the candidate identified a problem and solved it. A strong GPA can help, but it rarely replaces demonstrated ability.

Salary and Benefits

For entry-level data and analytics jobs in New York City in 2026, a realistic base salary range is often around $65,000 to $95,000 annually, with some internships offering hourly pay in the roughly $22 to $40 range depending on company size and specialization. More selective companies or fast-growing startups may sit above that range, especially when the role includes advanced SQL, experimentation, or product analytics work.

Benefits may include hybrid schedules, remote flexibility, learning stipends, commuter support, wellness perks, and access to mentorship or training programs. If the role is an internship, ask whether there is a conversion path to full-time employment, because that is one of the fastest ways to turn a short-term role into a long-term analytics career.

Built In NYC listings 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 strategy is to apply as soon as a role appears and to treat the first few weeks as the most competitive window. For entry-level analytics jobs, the full process often takes two to five weeks, though faster startup-style hiring can move in under two weeks.

Applicants should expect quicker movement if the company is trying to fill a time-sensitive reporting or dashboarding need. If a role is popular, the earliest qualified applications often get the first screening calls.

Screening Methods

Screening usually starts with resume review and keyword matching, so applicants should make sure their materials reflect the job description. Terms like SQL, Tableau, Excel, dashboarding, data cleaning, reporting, and business analysis often matter.

Hiring teams may also ask for a portfolio, GitHub link, or sample project summary. If a recruiter is reviewing several similar candidates, the clearest evidence of applied analysis often wins.

Interview Preparation

Example Interview Questions

• Tell us about a time you analyzed data to solve a business problem.
• How would you investigate a sudden drop in a key metric?
• What is your process for checking whether data is accurate?
• Walk us through a dashboard or project you built and why it mattered.

How to Answer

The best answer structure is usually STAR: Situation, Task, Action, Result. For analytics roles, that means explaining the business context, the exact metric or problem, the steps you took in SQL or Excel, and the outcome in plain language.

Do not just describe what you built. Explain why it mattered, what tradeoffs you made, and how your work helped a team make a decision faster or with more confidence.

What Recruiters Evaluate

Recruiters look for evidence that you can think logically, communicate clearly, and work with imperfect data without getting lost. They also care about whether you can explain your work to non-technical teammates without overcomplicating it.

They often evaluate whether you seem coachable. In entry-level hiring, raw polish is less important than learning speed, curiosity, and the ability to turn feedback into better work.

How to Get Selected

Practical Tips

Tailor your resume to the role by emphasizing analytics projects, tools, and measurable outcomes. If you used SQL to reduce manual reporting, built a dashboard that saved time, or analyzed campaign results, say so with numbers where possible.

Prepare one clean portfolio example that shows your process from problem to insight. If you can walk a recruiter through your thinking in five minutes, you are already ahead of many applicants.

Common Mistakes to Avoid

• Submitting a generic resume with no analytics keywords.
• Listing tools without showing how you used them.
• Failing to explain the business impact of a project.
• Giving vague answers that do not show real hands-on work.
• Ignoring basic data quality checks in your examples.

How to Stand Out

To stand out, build a portfolio that looks like real work, not classroom filler. A strong project might include a business question, a SQL query set, a dashboard, and a short executive summary that recommends action.

Networking also helps. Candidates who attend NYC tech events, connect with analysts on LinkedIn, or ask thoughtful questions about team workflows often create stronger impressions than applicants who only submit a form.

Final Thoughts

The Best Entry Level Data & Analytics Jobs in NYC, NY 2026 at Built In NYC listings can be an excellent launch point for anyone who wants to build a career in analytics, reporting, or business insight. These roles reward candidates who combine technical fundamentals with clear communication and a genuine interest in how businesses work.

If you want to know how to get hired at Built In NYC listings, focus on proof: a targeted resume, one or two strong projects, and interview answers that show you can think like an analyst from day one. Apply early, stay specific, and treat every application like a chance to demonstrate judgment, not just technical skill.

Frequently Asked Questions

Salary expectations?

For the Best Entry Level Data & Analytics Jobs in NYC, NY 2026, the realistic market range is often about $65,000 to $95,000 for full-time roles, with internships frequently paying hourly in the low-to-mid $20s or higher depending on the employer and scope of work.

How competitive?

It is competitive because NYC attracts many strong candidates, especially those with SQL, dashboards, and internship experience. Candidates who apply early and show real project evidence usually have a much better chance than those with only coursework on their resume.

Most important skills?

The most important skills are SQL, Excel, data visualization, and clear communication. Just as important is the ability to explain findings in a way that helps a team make decisions quickly and confidently.