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Entry Level Data Manager Jobs (NOW HIRING)

Data Scientist - NYC

Cambridge, MA · On-site +1

$100 - $200/hr

... entry-level data science concepts) * Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models

Data Scientist - NYC

Bedford, MA · On-site +1

$100 - $200/hr

... entry-level data science concepts) * Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models

Data Scientist - NYC

Quincy, MA · On-site +1

$100 - $200/hr

... entry-level data science concepts) * Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models

Data Scientist - NYC

Lynn, MA · On-site +1

$100 - $200/hr

... entry-level data science concepts) * Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

... entry-level data science concepts) * Experience writing code in Python * Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... managing, and maintaining analytically rigorous data Possessing a solid machine learning foundation ...

As aData Asset Manager, you will play a crucial role in managing and optimizing data quality and ... Job Schedule Full time Job Number R000147268 Job Segmentation Entry Level Starting Pay / Salary ...

Data Entry Specialist / Jr (Remote)

$17.50 - $23.25/hr

Join our innovative and forward-thinking company as an Entry-Level Data Entry Specialist and play a ... Self-motivated and reliable, capable of managing tasks independently and meeting deadlines ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ... managing, and maintaining analytically rigorous data • Possessing a solid machine learning ...

The Analyst, Global Data Manager (GDM) is a professional individual contributor role at entry level that will provide oversight and accountability and/or execute data management activities and/or ...

Showing results 41-60

Entry Level Data Manager information

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$31K

$97.1K

$172K

How much do entry level data manager jobs pay per year?

As of Jul 24, 2026, the average yearly pay for entry level data manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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.
More about Entry Level Data Manager jobs
What cities are hiring for Entry Level Data Manager jobs? Cities with the most Entry Level Data Manager job openings:
What are the most commonly searched types of Data Manager jobs? The most popular types of Data Manager jobs are:
What states have the most Entry Level Data Manager jobs? States with the most job openings for Entry Level Data Manager jobs include:
Infographic showing various Entry Level Data Manager job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Scientist - NYC

Data Scientist - NYC

The Hollister Group

Cambridge, MA • On-site, Remote

$100 - $200/hr

Full-time

Posted 23 days ago


Job description

Our client is seeking a talented Data Scientist to join their team as an independent remote employee. Our team brings data science and machine learning to the private equity investment process, providing unparalleled access to alternative data sources and proprietary data from portfolio companies. You'll be at the forefront of high-value tactical workflows that drive all aspects of the investment process. As a Data Scientist with our client, you'll have the opportunity to own due diligence processes, source efforts, or portfolio support initiatives, with your work influencing billions of dollars in investment decisions. You'll work in a collaborative, fast-moving team in close collaboration with experienced professionals passionate about AI/ML and its impact on the private equity space.
Compensation:
Pay Range: $100-$200/hr, depending on experience and scope.
Note: We encourage qualified applicants to apply even if their compensation expectations differ, as we value technical expertise and culture fit.
Responsibilities:

  • Develop predictive models and proprietary analytics from large datasets using advanced queries, filters, and data visualization tools
  • Create valuable insights from datasets directly with stakeholders
  • Architect and manage analytical projects from ideation to launch
  • Leverage alternative data sets to algorithmically determine the best investments for our clients
  • Conduct competitive analysis to determine the soundness of investments using all relevant data sources
  • Use ground-truth data from portfolio companies to improve business outcomes (automated lead generation/enrichment, forecast and churn modeling, etc.)
Requirements:
  • Bachelor's degree or concentration in a highly quantitative or relevant data science field (Computer Science, Statistics, Mathematics, Finance, etc.) or equivalent professional experience
  • Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts)
  • Experience writing code in Python
  • Experience handling terabyte-sized datasets, discovering hidden patterns, and working with managers to develop models
  • Excitement for the venture capital and private equity space and the opportunity to make analytical and data-driven decisions
  • Location: This role requires 3 days per week in our clients office in NYC. 

Our Commitment to Inclusion & Belonging
The Hollister Group is an equal opportunity employer. We welcome and encourage applications from people who are under-represented in their respective occupation or position.
#HGP

Pandologic. Keywords: Data Scientist, Location: Cambridge, MA - 02238