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

Mood Fabrics

Textile Product Specialist

Lodi, NJ · On-site

... the management and launch of new products on our website. This role is ideal for someone with ... This is not an entry-level data entry position. The successful candidate will be expected to ...

Mood Fabrics

Be Seen First

Textile Product Specialist

Lodi, NJ · On-site

$22 - $25/hr

... the management and launch of new products on our website. This role is ideal for someone with ... This is not an entry-level data entry position. The successful candidate will be expected to ...

Mood Fabrics

Textile Product Specialist

Lodi, NJ · On-site

... the management and launch of new products on our website. This role is ideal for someone with ... This is not an entry-level data entry position. The successful candidate will be expected to ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

New York, NY Summary/Overview KBRA Data Management is part of the Technology department and works ... entry-level responsibilities and are capable of independently processing both standard and complex ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

New York, NY Summary/Overview KBRA Data Management is part of the Technology department and works ... entry-level responsibilities and are capable of independently processing both standard and complex ...

TriCom Quest

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Maintenance Technician - Entry Level

Somerset, NJ · On-site

$21 - $23/hr

Monitor and record equipment data * Manage spare parts inventory and report shortages Employment ... Entry-level maintenance, trade school, HVAC training Company Description TriCom Quest is a full ...

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Entry Level Data Manager information

Is data management entry-level?

Entry-level data management positions typically require minimal professional experience and focus on tasks such as data entry, organization, and basic analysis. These roles often serve as a starting point for careers in data management and may require familiarity with tools like Excel or database software. Advancement usually involves gaining experience and developing skills in data analysis and management systems.

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.

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 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.
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 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Entry Level Data Analyst job

GainAm

Hicksville, NY • On-site

$70K/yr

Full-time

Re-posted 16 days ago

Job description

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 Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis
Day to day work involves proficiency in using advanced computerized models to extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management

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