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Entry Level Data Manager Jobs in Florida (NOW HIRING)

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 ...

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 ...

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer ... Ability to manage multiple priorities in a fast-paced environment. Preferred Skills:- * Snowflake

Data Entry Clerk

Miami, FL

$16.25 - $21.75/hr

Bomnin Automotive Management Are you looking for an entry-level position with opportunities for growth. We are seeking a detail-oriented and motivated Data Entry Clerk to join our team at Bomnin ...

Data Entry Clerk

Miami, FL

$16.25 - $21.75/hr

Bomnin Automotive Management Are you looking for an entry-level position with opportunities for growth? We are seeking a detail-oriented and motivated Data Entry Clerk to join our team at Bomnin ...

Soni is currently seeking an entry-level Legal Assistant/Paralegal to provide temporary project and ... Compile and summarize large quantities of data for clients, managers, and reporting needs * Gather ...

Data Entry Clerk

Miami, FL · On-site

$16.25 - $21.75/hr

Bomnin Automotive Management Are you looking for an entry-level position with opportunities for growth? We are seeking a detail-oriented and motivated Data Entry Clerk to join our team at Bomnin ...

Data Entry Clerk

Miami, FL · On-site

$16.25 - $21.75/hr

Bomnin Automotive Management Are you looking for an entry-level position with opportunities for growth? We are seeking a detail-oriented and motivated Data Entry Clerk to join our team at Bomnin ...

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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 Florida? The most popular types of Data Manager jobs in Florida are:
Infographic showing various Entry Level Data Manager job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Scientist

Contractor

Posted 15 days ago


Job description

Company Description

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.

Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.

Our History

After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.

Job Description

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.

Qualifications

Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
Implementing processes that improve and lead to greater data quality
Conducting statistical analyses to develop strategies
Documenting all processes and research
Building new algorithms and model training
Executing projects involving analytics
Identifying data patterns and trends
Analyzing data to develop predictive models
Creating, managing, and maintaining analytically rigorous data
Possessing a solid machine learning foundation
Proven record of successful statistical product delivery
Ability to execute health insurance use cases via statistical applications such as R or Python 
Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) 
Significant experience with SQL and working with large datasets required
Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
Noting anomaly detection and running diagnostics
Performing graphical model analysis
Strong verbal and written communication skills

Additional Information

Candidates would Roll Perm at some point