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Entry Level Data Analytics Engineer Jobs in New York

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

About the Role We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind ...

Serotonin

Blockchain, Data Analytics (Remote)

New York, NY · On-site +1

$80K - $150K/yr

About the Role We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind ...

Pwc

Data Engineer - Senior Associate

Melville, NY · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Florham Park, NJ · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Stamford, CT · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Ascot Group

Data Engineer, Finance

Iselin, NJ · On-site

$95K - $110K/yr

Serve as a Data Engineer Level 1 for projects, enhancements, and production support ... Be responsible for all analysis and support of assigned projects to include hands-on development ...

Brookfield

P&C Data Analyst

New York, NY

... data science, analytics, actuarial support, or related quantitative roles * A master's degree may be considered in lieu of one to two years of experience * Proficiency in analytical programming ...

MLabs

Data Scientist

New York, NY · On-site

$250K - $350K/yr

Proven track record as a Senior Data Scientist or Analytics Engineer capable of driving loosely ... defined business problems from raw data queries to production solutions. * Technical Proficiency:

MLabs Ltd

Data Scientist

Manhattan, NY · On-site

$250 - $350/hr

Proven track record as a Senior Data Scientist or Analytics Engineer capable of driving loosely ... defined business problems from raw data queries to production solutions. * Technical Proficiency:

MLabs

Data Scientist

New York, NY

$250K - $350K/yr

Proven track record as a Senior Data Scientist or Analytics Engineer capable of driving loosely ... defined business problems from raw data queries to production solutions. * Technical Proficiency:

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All JobsData Analytics Engineer JobsEntry Level Data Analytics Engineer JobsEntry Level Data Analytics Engineer Jobs in New York

Entry Level Data Analytics Engineer information

What are some typical projects an entry level data analytics engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an entry level data analytics engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.

What are the key skills and qualifications needed to thrive as an entry level data analytics engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.
What are the most commonly searched types of Data Analytics Engineer jobs in New York? The most popular types of Data Analytics Engineer jobs in New York are:
What are popular job titles related to Entry Level Data Analytics Engineer jobs in New York? For Entry Level Data Analytics Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analytics Engineer jobs in New York look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in New York are:
Entry Level Data Analytics Engineer jobs near you
Infographic showing various Entry Level Data Analytics Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Blockchain, Data Analytics (Remote)

Serotonin

New York, NY • On-site, Remote

$80K - $150K/yr

Full-time

Medical, Retirement

Re-posted 11 days ago

Job description

Who is Serotonin
Serotonin is the top go to market firm for transformative technologies, specializing in marketing, strategy, recruiting, and legal services. With a global team of 90 across 15 countries, Serotonin has supported over 300 clients in consumer tech, on-chain infrastructure, digital assets, venture capital, and AI since its launch in 2020. Delivering end-to-end go-to-market solutions across all major marketing channels - including public relations, growth marketing, on-chain analytics, content, research, social, and design - Serotonin accelerates global innovation. At the core of our business is the Serotonin Platform, serving as a central nucleus for the crypto ecosystem, connecting builders and founders with essential resources to drive business growth.
About the Role
We're looking for a versatile data professional who combines strong analytical and data science capabilities with the engineering skills to build and maintain the infrastructure behind those analyses. This is a hybrid role perfect for someone who loves both discovering insights and building scalable systems to deliver them. You'll work across the entire data stack - from pipeline development to statistical modeling. Leveling is flexible based on experience.
Responsibilities
  • Build and maintain data pipelines that power both ad-hoc analyses and production dashboards
  • Develop statistical models and data science solutions while also implementing the infrastructure to deploy them
  • Create self-serve analytics tools and datasets that empower stakeholders across the organization
  • Design experiments and perform statistical analyses to measure product and marketing initiatives
  • Build data models in our warehouse that balance analytical flexibility with performance
  • Partner directly with product, marketing, and leadership teams to identify opportunities and measure impact
  • Own the full lifecycle of data products - from initial exploration to production deployment

Requirements: Core Technical Skills
  • Strong experience with modern data stack tools (e.g., dbt, Airflow/Dagster, Snowflake, BigQuery, Redshift, or similar)
  • Proven ability to design and manage ETL pipelines and database architectures
  • Advanced SQL skills and high proficiency in Python for both data analysis and engineering
  • Understanding of data modeling principles (Kimball, Data Vault, or similar)
  • Experience with cloud data platforms (AWS, GCP, or Azure)

Requirements: Analytical & Data Science Expertise
  • Strong statistical analysis skills with hands-on experience using Python data science stack (pandas, NumPy, scikit-learn)
  • Experience with A/B testing, causal inference, and experimental design
  • Ability to communicate complex findings to non-technical stakeholders
  • Track record of using data to influence business strategy

Requirements: Blockchain & Web3 Experience
  • Hands-on experience with blockchain data extraction, transformation, and analysis
  • Understanding of EVM concepts (transactions, events, smart contracts) and/or non-EVM ecosystems
  • Ability to work with on-chain data to derive actionable insights

Bonus Points
  • Experience with marketing analytics and attribution modeling
  • Familiarity with data from providers like Dune, Arkham, GoldSky, Flipside, or similar
  • Previous experience in data roles within blockchain/Web3 organizations
  • Experience with data visualization tools (Tableau, Looker, or similar)

This position is ideal for someone who...
  • Gets excited about both building robust data infrastructure AND discovering insights
  • Wants ownership over the entire data value chain
  • Thrives in environments where they can wear multiple hats
  • Values being able to see their analyses through to production impact

Benefits
  • Competitive Salary
  • Health Insurance - (US Only)
  • 401(k) - (US Only)
  • Remote Work Environment
  • Maternity/Paternity Leave

$80,000 - $150,000 a year
The salary range for this role is dependent on a variety of factors, including level of experience, skills, and qualifications. Final compensation will be determined through the interview process and may vary based on these considerations.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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