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Entry Level Data Manager Jobs in New York (NOW HIRING)

Tech Consulting

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Big Data Engineer

New York, NY · On-site

$30 - $40/hr

Entry-Level Data Engineer Job Title: Entry-Level Data Engineer Location: Candidate must be open relocate. Employment Type: Full-time Job Summary We are looking for a motivated Entry-Level Data

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GainAm

Entry Level Data Analyst job

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep

Mood Fabrics

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Textile Product Specialist

Lodi, NJ · On-site

$22 - $25/hr

Mood Fabrics is seeking a highly organized and detail-oriented Textile Product Specialist to support the management and launch of new products on our website. This role is ideal for someone with

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

Position: Data Steward - Data Operations (NY) Entity: KBRA Holdings, LLC Employment Type: Full-Time Location: New York, NY Summary/Overview KBRA Data Management is part of the Technology department

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

Position: Data Steward - Data Operations (NY) Entity: KBRA Holdings, LLC Employment Type: Full-Time Location: New York, NY Summary/Overview KBRA Data Management is part of the Technology department

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Entry Level Data Manager information

What does an Entry Level Data Manager do?

An Entry Level Data Manager is responsible for organizing, maintaining, and ensuring the accuracy of data within an organization. They typically work with databases, assist in data entry, perform basic data analysis, and help enforce data quality standards. Additionally, they may collaborate with other teams to ensure data is accessible and secure, and support senior data managers in larger projects. This role is a great starting point for those interested in data management and analytics careers.

What is the difference between Entry Level Data Manager vs Data Analyst?

AspectEntry Level Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; familiarity with database softwareBachelor's degree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentOffice setting, managing databases, ensuring data qualityOffice setting, analyzing data sets, creating reports
Employer & Industry UsageBusinesses, healthcare, finance, tech companies managing data systemsMarket research firms, finance, marketing, healthcare analyzing data trends

Entry Level Data Managers focus on maintaining and organizing data systems, ensuring data accuracy and security. Data Analysts interpret data to generate insights and support decision-making. While both roles require similar educational backgrounds, Data Managers emphasize data integrity and management, whereas Data Analysts focus on analysis and reporting.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Entry-level data managers often develop skills in data visualization and tools like Excel or SQL, which complement AI capabilities rather than replace them entirely.

What are the key skills and qualifications needed to thrive as an Entry Level Data Manager, and why are they important?

To succeed as an Entry Level Data Manager, you need a solid understanding of data management principles, database systems, and often a bachelor's degree in information technology, computer science, or a related field. Familiarity with tools like SQL, Microsoft Excel, and data visualization software, as well as knowledge of data privacy regulations, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you accurately manage data and collaborate with team members. These competencies are essential for ensuring data accuracy, supporting organizational decision-making, and maintaining data security.

What is the salary of a data manager?

The salary of an entry-level data manager typically ranges from $50,000 to $70,000 annually, depending on location, industry, and education. Salaries can increase with experience, certifications, and proficiency in data management tools like SQL or Excel.

Is 40 too late for data science?

Entry level data managers and data scientists can successfully transition into the field at age 40 or older, as skills such as programming, statistics, and data analysis are learnable at any age. Many professionals pursue certifications in tools like Python, R, or SQL to enhance their qualifications regardless of age.

What are some common challenges faced by entry level data managers, and how can they be addressed?

Entry level data managers often encounter challenges such as ensuring data accuracy, adapting to new data management systems, and balancing multiple data requests from various departments. To address these issues, it's important to develop strong attention to detail, become proficient with relevant data tools through training, and communicate clearly with team members to prioritize tasks. Seeking mentorship from experienced colleagues and participating in ongoing learning can also help new data managers navigate these challenges successfully.

How to start a career in data management?

To start a career as an entry-level data manager, gain foundational skills in data analysis, database management, and data cleaning through relevant coursework or certifications such as SQL or Excel. Building experience with data management tools and understanding data privacy principles can improve job prospects, and internships or entry-level positions provide practical exposure to data handling environments.
What are the most commonly searched types of Data Manager jobs in New York? The most popular types of Data Manager jobs in New York are:
Entry Level Data Manager jobs near you
Infographic showing various Entry Level Data Manager job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Big Data Engineer

Tech Consulting

New York, NY • On-site

$30 - $40/hr

Full-time

Medical, PTO

Posted 3 days ago

New

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Job description

Entry-Level Data Engineer

Job Title: Entry-Level Data Engineer

Location: Candidate must be open relocate.

Employment Type: Full-time

Job Summary

We are looking for a motivated Entry-Level Data Engineer to join our data team. In this role, you will help design, build, and maintain data pipelines that support analytics, reporting, and business operations. You will work closely with data engineers, analysts, data scientists, and software developers to ensure data is accurate, reliable, and accessible.

This position is ideal for recent graduates or candidates with internship or project experience in data engineering, computer science, or related fields.

Key Responsibilities

  • Assist in developing and maintaining ETL/ELT data pipelines.
  • Collect, clean, transform, and validate data from multiple sources.
  • Support the design and optimization of databases and data warehouses.
  • Monitor data pipeline performance and troubleshoot issues.
  • Write efficient SQL queries to extract and analyze data.
  • Collaborate with cross-functional teams to understand data requirements.
  • Document data workflows, processes, and technical specifications.
  • Participate in code reviews and follow engineering best practices.
  • Help automate routine data processing tasks.
  • Ensure data quality, integrity, and security.

Required Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
  • Basic understanding of SQL and relational databases.
  • Familiarity with at least one programming language such as Python, Java, or Scala.
  • Knowledge of data structures and algorithms.
  • Understanding of ETL/ELT concepts and data modeling fundamentals.
  • Strong analytical and problem-solving skills.
  • Good communication and teamwork abilities.
  • Willingness to learn new technologies and tools.

Preferred Qualifications

  • Internship or academic project experience in data engineering or analytics.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Exposure to big data technologies like Apache Spark or Hadoop.
  • Experience with version control systems such as Git.
  • Knowledge of workflow orchestration tools (e.g., Apache Airflow).
  • Basic understanding of data warehousing concepts.

Technical Skills

  • SQL
  • Python (preferred)
  • Git
  • Relational databases (PostgreSQL, MySQL, SQL Server, etc.)
  • Basic Linux/Unix commands
  • Excel
  • Cloud fundamentals (AWS, Azure, or GCP)

Soft Skills

  • Problem-solving mindset
  • Attention to detail
  • Communication skills
  • Team collaboration
  • Time management
  • Adaptability
  • Eagerness to learn

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