3

Remote Entry Level Data Analyst Jobs in Kingsland, GA

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team ... The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit ...

Be Seen First

... remote services with occasional in-person assessments and parent coaching. Experience with a variety of assessment tools, experience with providing RBTs with support and feedback, and data analysis ...

Be Seen First

... remote services with occasional in-person assessments and parent coaching. Experience with a variety of assessment tools, experience with providing RBTs with support and feedback, and data analysis ...

Business Analyst

Jacksonville, FL · On-site +1

$60K - $70K/yr

Experience and/or aptitude in data manipulation tools such as Power BI, SQL, Microsoft Access a ... Hybrid #LI-Remote #LI-Onsite - At Core Specialty, you will receive a competitive salary and ...

... data analytics and implementation). Both entry and mid-level applicants are encouraged to apply as on-the-job training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ...

Background in search engine optimization or data analysis is beneficial. * Seeks a flexible, remote job that can easily fit around other commitments. Project Details: Pay Rate: $14.50 per hour ...

Remote Tax Accountant

Jacksonville, FL · On-site +1

$40 - $48/hr

REMOTE TAX ACCOUNTANT LedgerGurus is looking to hire a part-time Tax Accountant for our accounting ... We provide each client with an accounting team to perform the following: analyze data for a client ...

REMOTE TAX ACCOUNTANT LedgerGurus is looking to hire a part-time Tax Accountant for our accounting ... We provide each client with an accounting team to perform the following: analyze data for a client ...

next page

Showing results 1-20

Remote Entry Level Data Analyst information

See Kingsland, GA salary details

$11

$28

$53

How much do remote entry level data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote entry level data analyst in Kingsland, GA is $28.60, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 and $31.92 per hour, depending on experience, location, and employer.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What are the key skills and qualifications needed to thrive as a remote entry level data analyst?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant certifications or coursework. Many companies offer remote work options for entry-level analysts, especially in the current digital and flexible work environment.

What cities near Kingsland, GA are hiring for Remote Entry Level Data Analyst jobs?

Cities near Kingsland, GA with the most Remote Entry Level Data Analyst job openings:

Infographic showing various Remote Entry Level Data Analyst job openings in Kingsland, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $59,484 per year, or $28.6 per hour.

Data Migration Analyst

Nymbus, Inc.

Jacksonville, FL • Remote

Full-time

Posted 18 days ago


Job description

Nymbus (https://nymbus.com/) isn't just a leader in fintech; we're a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

We operate with an AI-first mindset across our business, continuously improving how we work and the value we deliver to our clients. Our culture is grounded in collaboration, accountability, and a strong commitment to execution.

The journey to growth begins with doing something different, and that journey starts with the talented people who make Nymbus successful. Thank you for considering Nymbus as the catalyst for the next chapter of your career.

WORK ENVIRONMENT:

Nymbus is a remote-first company. Occasional travel may be required for client engagements, team planning sessions, or project activities. Working hours primarily align with the Eastern Time Zone; candidates located in the Eastern or Central time zones are preferred.

POSITION SUMMARY:

The Data Migration Analyst supports the complete lifecycle of data migration for banks and credit unions implementing the Nymbus Core platform. This includes analyzing source data from donor core systems, defining data requirements, mapping and transforming data, validating conversion results, and helping ensure data is accurate and complete before each go-live milestone.

This is a client-facing, hands-on role for someone who is naturally curious, analytical, and motivated to solve complex data challenges. The Data Migration Analyst will contribute directly to multiple conversion engagements while helping Nymbus develop reusable migration standards, documented conversion patterns, and AI-assisted tools that improve speed, accuracy, and scalability.

The successful candidate will be comfortable performing detailed conversion work while also identifying opportunities to automate manual processes, improve validation workflows, and advance the way data migration is delivered at Nymbus.

ESSENTIAL JOB FUNCTIONS/RESPONSIBILITIES:

  • Build and maintain data requirements for migrating source data from donor core systems into the Nymbus Core platform.
  • Analyze and map data across banking functions, including deposit operations, loan products, consumer demographics, retirement accounts, financial reporting structures, and general ledger data.
  • Use SQL and other programming languages to map source data, define transformation logic, and support conversion programming.
  • Verify conversion output against client source data, documented specifications, business requirements, and approved transformation rules.
  • Test and validate converted data using reporting tools, reconciliation processes, quality assurance checks, and exception analysis.
  • Identify data quality issues, transformation errors, and anomalies that could affect conversion accuracy, completeness, or readiness.
  • Lead and participate in client discussions involving source data structures, business rules, mapping decisions, conversion results, and issue resolution.
  • Collaborate with client project teams, internal delivery consultants, technical teams, and other stakeholders to ensure timely and effective implementation of Nymbus software and services.
  • Support multiple concurrent conversion engagements by coordinating priorities, managing time-sensitive deliverables, and completing assigned work with minimal supervision.
  • Design, build, and improve AI-assisted tools and automations that accelerate data migration activities, reduce manual effort, and improve consistency.
  • Explore opportunities to automate field-mapping recommendations across commonly encountered donor core systems.
  • Develop tools and processes that help identify data anomalies during transformation and streamline validation activities that currently require significant manual intervention.
  • Document conversion patterns, source-system knowledge, data-mapping standards, transformation rules, validation procedures, and reusable frameworks.
  • Contribute to a shared body of institutional knowledge that improves consistency, reduces ramp time, and increases team resilience across future conversions.
  • Recommend improvements to data migration processes, tools, standards, and quality controls based on lessons learned from conversion engagements.
  • Maintain a flexible schedule that allows for occasional travel, weekend work, or holiday work when required to support critical conversion and go-live activities.

QUALIFICATIONS:

  • 2+ years of experience in financial services, preferably with hands-on experience in data conversion, data migration, ETL, conversion programming, or software development within a core banking or fintech environment.
  • Proficiency in SQL and experience using SQL to analyze, map, transform, reconcile, or validate data.
  • Familiarity with additional programming or scripting languages is strongly preferred.
  • Experience interpreting technical specifications, source-data structures, transformation rules, and business requirements.
  • Understanding of banking data and operations, including deposit accounts, loan products, retirement accounts, consumer demographics, general ledger or financial reporting structures, banking regulations, and personally identifiable information policies.
  • Experience with data validation, reconciliation, reporting, exception analysis, or quality assurance processes.
  • Genuine curiosity about artificial intelligence and a demonstrated interest in building tools, automations, or improved workflows that make analytical work faster and more reliable.
  • Strong analytical and problem-solving skills, with the ability to investigate complex data issues and drive them through resolution.
  • Strong written and verbal communication skills, including the ability to explain technical data concepts to clients and cross-functional stakeholders.
  • Ability to manage multiple priorities and deliver accurate work within time-sensitive project schedules.
  • Self-directed, process-oriented, and highly attentive to detail.

Preferred Qualifications

  • Experience supporting core banking conversions or migrations from commonly used donor core platforms.
  • Experience developing reusable data-mapping frameworks, validation utilities, reporting tools, or workflow automations.
  • Familiarity with AI-assisted development tools, large language models, machine learning applications, or automated anomaly-detection approaches.
  • A continuous-improvement mindset and an interest in helping define the future of AI-assisted data migration at Nymbus.

SALARY & BENEFITS:

  • $110,000 - $125,000 Annual Salary
  • Annual Cash Bonus and Equity Options commensurate with the role level and experience
  • 100% Remote
  • 401(k) plan
  • Insurance - Health, Dental and Vision
  • Paid Time Off

Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!

Let's Go!