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Data Analyst No Degree Jobs in Ridgeville, SC (NOW HIRING)

Data Analyst

Charleston, SC ยท On-site

$105K/yr

Bachelor's Degree in Computer Science, Information Technology, Data Science, other related field ... Experience developing, implementing, analyzing, and supporting data modeling * Strong customer ...

DATA SCIENTIST

Moncks Corner, SC ยท On-site

$75K - $94K/yr

... degree in Mathematics, Statistics, Computer Science or related field + 2 years experience as an ETL Developer and/or Data Analyst. * Must be proficient in Python (pandas, NumPy, scikit-learn; plus ...

Data Analysis Tutor

Charleston, SC ยท Remote

$18 - $40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... No commuting required. * Get matched with students best-suited to your teaching style and expertise.

Senior Data Scientist

Hanahan, SC ยท On-site

$48.56 - $77.69/hr

... analytical processes, and findings * Support mission, program, and organizational objectives through data-driven decision-making What You Bring Required Qualifications * Master's degree in Data ...

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Showing results 1-20

Data Analyst No Degree information

See Ridgeville, SC salary details

$33.6K

$81.7K

$134.4K

How much do data analyst no degree jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst no degree in Ridgeville, SC is $81,694.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

Can I become a data analyst without a degree?

Yes, it is possible to become a data analyst without a formal degree. Many employers value practical skills in data analysis tools like Excel, SQL, and Python, as well as experience with data visualization platforms. Earning relevant certifications, building a strong portfolio, and gaining hands-on experience through internships or personal projects can help you break into the field. Networking and continuous learning also play a significant role in advancing your data analyst career without a degree.

What are the key skills and qualifications needed to thrive as a data analyst without a degree?

To thrive as a Data Analyst without a degree, you need strong analytical abilities, proficiency in data manipulation, and a solid understanding of statistics, often gained through self-study, online courses, or certifications. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Critical thinking, attention to detail, and effective communication set candidates apart by enabling them to interpret data and present insights clearly. These skills are crucial for transforming raw data into actionable business intelligence that supports decision-making.

What opportunities for career advancement are available to data analysts without a formal degree?

Many organizations value practical experience and demonstrable skills over formal education for Data Analyst roles. Data Analysts without a degree can advance by consistently delivering high-quality insights, learning advanced analytical tools, and pursuing industry-recognized certifications (like Google Data Analytics or Microsoft Certified Data Analyst). Networking within the company, seeking mentorship, and taking on cross-functional projects can also open doors to more senior analyst positions or specialized roles such as data engineering or business intelligence. Continuous skill development and a strong portfolio of completed projects are key to progressing in this field.

What is the difference between Data Analyst No Degree vs Data Scientist?

AspectData Analyst No DegreeData Scientist
Required CredentialsOften no formal degree required; certifications like Microsoft Excel, SQL, or Tableau helpfulTypically requires a bachelor's degree in a related field; advanced degrees like a master's or PhD common
Work EnvironmentBusiness, finance, marketing teams; often in office settingsResearch labs, tech companies, large enterprises; may involve more complex data modeling
Employer & Industry UsageUsed across industries for data reporting and analysisUsed for predictive modeling, machine learning, and advanced analytics

While Data Analysts with no degree focus on data reporting and basic analysis, Data Scientists typically require higher education and handle complex data modeling and predictive analytics. Both roles are vital in data-driven industries, but the level of technical expertise and educational background differs significantly.

What job categories do people searching Data Analyst No Degree jobs in Ridgeville, SC look for?

The top searched job categories for Data Analyst No Degree jobs in Ridgeville, SC are:

What cities near Ridgeville, SC are hiring for Data Analyst No Degree jobs?

Cities near Ridgeville, SC with the most Data Analyst No Degree job openings:

Infographic showing various Data Analyst No Degree job openings in Ridgeville, SC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $81,694 per year, or $39.3 per hour.

Data Analyst

Ignite Digital

Charleston, SC โ€ข On-site

$105K/yr

Full-time

Re-posted 15 days ago


Job description

Ignite Digital has an exciting opportunity for a Data Analyst to support our client engagement within the federal government for the Charleston, SC or Washington, DC area. The ideal candidate is a self-starter with strong analytical skills and a strong work ethic. This position serves an important role in supporting the Navy's ability to recruit, onboard, and retain top-talent through Data Modeling and analysis of work-flow processes.


Responsibilities:

  • Evaluate, develop, and implement solutions within current business processes to optimize efficiencies in collaboration with process SMEs
  • Evaluate current workflows for potential bottlenecks and make recommendations for automation of manpower tasks
  • Design and deliver dashboards that reconcile key performance indicators and operational data for the command to drive actionable objectives
  • Identify methods to collect, analyze, and manage data with the goal of making recommendations to improve data quality and the efficiency of the workflow
  • Evaluate the performance and applicability of tools against customer and client requirements
  • Foster collaborative business relationships with stakeholders, business partners, and team members
  • Collaborate with Navy clients on enterprise reporting and objectives
  • Translate high-level business requirements into functional specifications and reports


Minimum Qualifications:

  • Bachelor's Degree in Computer Science, Information Technology, Data Science, other related field
  • Active DoD SECRET security clearance
  • Experience with DoW/NAVWAR business practices, data management systems and processes
  • High proficiency in Data Visualization and Data Modeling
  • Intermediate to Advanced proficiency in Data Cleansing
  • High proficiency and experience with BI Tools (ie. Tableau)
  • Intermediate Python knowledge/experience
  • Intermediate proficiency in SQL
  • Advanced proficiency in Microsoft Excel
  • Experience developing, implementing, analyzing, and supporting data modeling
  • Strong customer service experience
  • Strong communication skills
  • Experience working with a variety of stakeholders, from managers to technical resources, to include the translation of business requirements into operational measures and reports
  • Demonstrated experience in handling large data sets and communication through reports
  • Ability to take initiative and work independently, and quickly transition to reassess priorities

Preferred Qualifications:

  • Knowledge of the system development life cycle, software project management approaches and requirements, design and test techniques including experience working in a DevOps/DevSecOps delivery environment
  • Experience with onboarding (e.g. CAC, Clearance, Base Access, etc) personnel to support government contracts
  • Adapts quickly to new situations, is willing to learn new technologies and works well in a team environment, leading individual projects without the need for supervision

Salary: $105k+ to align with experience and education