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Remote Data Analyst Fresh Graduate Jobs in Fort Mill, SC

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

Kemper

Data Scientist

Charlotte, NC · On-site +1

Documents modeling assumptions, methodology, code, and analytical results clearly and consistently ... Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience ...

USAA

Director, Data Scientist

Charlotte, NC · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Acts as advanced analytics thought leader and advisor to the business to shape strategies that ...

USAA

Data Scientist (Mid-Level)

Charlotte, NC · On-site +1

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Participates in the prioritization of analytics and modeling problems/research efforts with ...

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Remote Data Analyst Fresh Graduate information

See Fort Mill, SC salary details

$29.9K

$72.6K

$119.5K

How much do remote data analyst fresh graduate jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote data analyst fresh graduate in Fort Mill, SC is $72,620.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $85,200.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst, particularly for fresh graduates, is responsible for collecting, processing, and analyzing data to help organizations make informed decisions—all while working from a remote location. They use statistical tools and software like Excel, SQL, or Python to interpret data sets, identify trends, and generate reports. Fresh graduates in this role often collaborate with teams online, learn new analytical methods, and contribute to projects while building their skills and experience. The position offers flexibility and the opportunity to work with diverse industries without needing to be onsite.

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

To thrive as a Remote Data Analyst Fresh Graduate, you need a solid understanding of statistics, data interpretation, and a relevant degree in fields like mathematics, statistics, or computer science. Familiarity with data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, critical thinking, and effective communication are essential soft skills, especially for remote collaboration and reporting insights. These skills and qualities are crucial for delivering accurate analyses and actionable recommendations in a distributed work environment.

What are some common challenges faced by fresh graduates working remotely as data analysts, and how can they overcome them?

Fresh graduates working remotely as data analysts often encounter challenges such as limited guidance, difficulty in understanding company data systems, and feeling isolated from team members. To overcome these, it is helpful to proactively schedule regular check-ins with supervisors, participate in virtual team meetings, and seek mentorship opportunities within the organization. Leveraging online collaboration tools and maintaining open communication can also help build relationships and ensure efficient workflow, even when working from different locations.

What is the difference between Remote Data Analyst Fresh Graduate vs Remote Data Analyst?

AspectRemote Data Analyst Fresh GraduateRemote Data Analyst
Required CredentialsBachelor's degree in relevant field; internship or entry-level experienceBachelor's or higher; some roles prefer certifications like SQL or Python
Work EnvironmentRemote, entry-level position, often part-time or internshipRemote or hybrid, with more complex projects and responsibilities
Employer & Industry UsageStartups, entry-level roles in tech, finance, healthcareEstablished companies, mid-level to senior roles across industries

The main difference between a Remote Data Analyst Fresh Graduate and a Remote Data Analyst lies in experience and responsibilities. Fresh graduates typically have limited experience and focus on learning and supporting data tasks, while experienced analysts handle complex analysis, reporting, and decision-making. Both roles often require similar educational backgrounds, but the level of expertise and project scope distinguishes them.

What are popular job titles related to Remote Data Analyst Fresh Graduate jobs in Fort Mill, SC?

For Remote Data Analyst Fresh Graduate jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Fresh Graduate jobs in Fort Mill, SC look for?

The top searched job categories for Remote Data Analyst Fresh Graduate jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Remote Data Analyst Fresh Graduate jobs?

Cities near Fort Mill, SC with the most Remote Data Analyst Fresh Graduate job openings:

Remote Data Analyst Fresh Graduate jobs near you
Infographic showing various Remote Data Analyst Fresh Graduate job openings in Fort Mill, SC as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,620 per year, or $34.9 per hour.

Remote -Data Analyst (Part-time)

Charlotte, NC • On-site, Remote

Indotronix International Corporation
Recruiting and Staffing Services • 1 - 5K employees
Learn more about Indotronix International Corporationexternal

$40/hr

Other

Posted 29 days ago

Job description

Title: Data Analyst (Part-time)
Location: Remote - Charlotte, NC 28216
Duration: 12+ Months Contract
Schedule: 16-24 hours per week
Pay Rate: $40/hr on W2
Job Description:
This role will be responsible for leading detailed research and analysis on assigned competitive intelligence topics in support of business strategy and planning activities. Analytics will also be applied internally to evaluate select business opportunities. Time will flex between ongoing analyst activities and project-based assignments.
Key Skills and Competencies
  • Advanced Analytics: Use data-driven approaches, statistical modeling, and machine learning tools to extract insights and inform decision-making.
  • Automation Expertise: Identify and implement process automation solutions to improve efficiency and scalability.
  • Business Acumen: Understand market dynamics, competitive positioning, and customer needs.
  • Strategic Thinking: Identify strategic issues, analyze research and data, consider implications, and make actionable recommendations.
  • Innovation Management: Collaborate on automation-driven innovation processes for product enhancements or process improvements.
  • Communication: Present updates, recommendations, and findings to senior leadership with clarity and precision.

Structure:
  • Strategy & Planning: Developing strategies to address business challenges and long-term opportunities using analytics-driven insights.
  • Business Development: Exploring market opportunities and competitive analysis with automation tools to streamline workflows.
  • Manufacturing & Engineering: Understanding operations and using automation to improve efficiency and scalability.
  • Innovation Management: Collaborating with cross-functional teams to develop data-driven product improvements and automate processes.
  • By the end of the program, interns will have gained valuable insights into these areas and honed their ability to work independently, leverage automation, and deliver measurable results.

Job Responsibilities in Detail
Strategic Development:
  • Define Strategic Issues: Analyze and articulate core problems or opportunities using advanced analytics.
  • Research and Analysis: Implement data collection pipelines and apply statistical and machine learning models for actionable insights.
  • Strategic Implications: Assess short-term and long-term effects of strategic options using predictive analytics and scenario modeling.
  • Actionable Recommendations: Present findings with automation-enhanced dashboards and clear action plans.
  • Execution: Implement strategies and monitor outcomes using automated tracking systems.

Data Analytics and Automation:
  • Advanced Analytics: Use tools such as Python, R, SQL, or Power BI to analyze large datasets, model trends, and generate insights.
  • Automation: Identify repetitive tasks and implement process automation using tools like UiPath, Microsoft Power Automate, or custom scripts.
  • Quality Assurance: Ensure the accuracy and consistency of data-driven decisions by automating validation processes.
  • Cross-Functional Collaboration: Support decision-making with real-time, automated reporting shared across teams.

Innovation Team Engagement:
  • Collaborate with multi-functional innovation teams to:
  • Develop value propositions for products and services using analytics and automation.
  • Forecast market opportunities with predictive modeling and automated data pipelines.
  • Conduct competitive assessments using automation tools to collect and analyze competitor data.

Qualities of a Successful Intern:
  • Analytical Expertise: Strong ability to use data to identify patterns, solve problems, and inform strategies.
  • Automation Skills: Proficiency in identifying opportunities for process automation and implementing solutions.
  • Independence: Ability to manage work autonomously within a complex, global organization.
  • Organizational Skills: Effectively prioritize tasks and manage time to meet deliverables.
  • Judgment and Decision-Making: Use advanced analytics and automation tools combined with intuition to assess data and make sound recommendations.
  • Communication Skills: Clearly present updates, recommendations, and insights using automated dashboards and reports.
  • Collaboration: Work effectively with cross-functional teams, including business, operations, and technology leaders.
Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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