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Data Analytics Jobs in Beaufort, SC (NOW HIRING)

Data Analyst

Beaufort, SC ยท On-site

$81K - $95K/yr

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related). * Minimum of 3+ years of professional experience in data analysis or a related field.

Data Analyst

Beaufort, SC ยท On-site

$81K - $95K/yr

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related). * Minimum of 3+ years of professional experience in data analysis or a related field.

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related). * Minimum of 3+ years of professional experience in data analysis or a related field.

Data Analyst

Beaufort, SC ยท On-site

$80 - $100/hr

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related). * Minimum of 3+ years of professional experience in data analysis or a related field.

Business Data Analyst II

Rincon, GA ยท On-site

$55K - $90K/yr

If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you! As a Business Data Analyst II, you will play a key role in transforming ...

Business Data Analyst II

Rincon, GA ยท On-site

$55K - $90K/yr

If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact-this role is for you! As a Business Data Analyst II, you will play a key role in transforming ...

Business Data Analyst II

Rincon, GA ยท On-site

$60 - $80/hr

If you're a curious, self-driven problem solver with a passion for analytics, innovation, and impact- this role is for you! As a Business Data Analyst II, you will play a key role in transforming ...

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Data Analytics information

See Beaufort, SC salary details

$22

$49

$86

How much do data analytics jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data analytics in Beaufort, SC is $49.85, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $56.49 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What job categories do people searching Data Analytics jobs in Beaufort, SC look for?

The top searched job categories for Data Analytics jobs in Beaufort, SC are:

What cities near Beaufort, SC are hiring for Data Analytics jobs?

Cities near Beaufort, SC with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Beaufort, SC as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $103,685 per year, or $49.8 per hour.

Data Analyst

SteerBridge

Beaufort, SC โ€ข On-site

$81K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

SteerBridge is a modern technology company delivering innovative, missionfocused solutions to the U.S. Government and private sector.ย Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercialgrade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of SteerBridge is our people-especially the veterans whose leadership, problemsolving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent;ย we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

Position Overview

SteerBridge Strategies is seeking a highly skilled Data Analyst to support mission-critical operations in a secure, controlled data environment. This role focuses on advanced data analysis, automation, and reporting to drive informed decision-making at leadership levels.

The ideal candidate will have strong SQL expertise, experience working with large datasets, and the ability to translate complex data into actionable insights.

Key Responsibilities

Data Analysis & Insights

  • Analyze large, relational datasets to identify trends, inefficiencies, and performance gaps
  • Translate raw data into actionable insights to support leadership decision-making
  • Identify degraders, shortages, and operational inefficiencies

SQL Development

  • Write clean, efficient, and production-ready SQL (Amazon Redshift, Oracle SQL Developer)
  • Utilize advanced SQL techniques (CTEs, window functions, complex joins, aggregations)
  • Optimize queries for performance and scalability
  • Troubleshoot and resolve data discrepancies across multiple data sources

Data Quality & Validation

  • Implement automated validation checks (row counts, duplicates, completeness, integrity)
  • Ensure accuracy and consistency of data before reporting
  • Identify and resolve root causes of data inconsistencies

Automation & ETL Processes

  • Support and maintain ETL pipelines and data workflows
  • Build automated processes for data ingestion, transformation, and validation
  • Implement scheduling/orchestration tools (cron, AWS services, Airflow, or equivalent)
  • Ensure processes run without manual intervention

Scripting & Process Automation

  • Develop scripts using Python, Bash, or PowerShell
  • Automate data pulls, file processing, and pipeline validation
  • Integrate scripts into end-to-end workflows

Reporting & Dashboards

  • Develop and maintain automated reports and dashboards
  • Support daily, weekly, and monthly reporting requirements
  • Ensure reports are accurate, consistent, and delivered on schedule
Required Qualifications
  • U.S. Citizenship required, with the ability to obtain a Secret Clearance.
  • Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science, or related).
  • Minimum of 3+ years of professional experience in data analysis or a related field.
  • Strong experience working in sensitive or controlled data environments.
  • Advanced SQL proficiency (Amazon Redshift, Oracle preferred).
  • Experience with large, relational datasets and data structures.
  • Strong understanding of joins, aggregations, and query optimization.
  • Experience troubleshooting data discrepancies and ensuring data integrity.
  • Familiarity with ETL processes and data pipelines.
  • Experience building recurring reports and dashboards.
  • Strong attention to detail and data validation skills.
Preferred Qualifications
  • 3-6 years of post-college professional experience.
  • Experience with predictive analytics or modeling.
  • Proficiency in Python or R for data analysis.
  • Experience with automation tools and scheduling frameworks.
  • Experience supporting executive-level decision-making.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays
$81,000 - $95,000 a year
Annually, commensurate with background and experience.

SteerBridge is proud to be an Equal Opportunity Employer.ย We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.

We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.

If you would like information about how your application is processed, please contact us.
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