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Data Analyst Jobs in Ladson, SC (NOW HIRING)

Ignite Digital

Data Analyst

Charleston, SC

$105K/yr

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 ...

Lynker Corporation

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Lynker is seeking a sharp Geospatial Data Analyst to join our team. This role is contingent upon Lynker winning the contract, and an offer will likely not be extended until it is confirmed that the ...

ASCENSUS

IRA Installation Analyst

Charleston, SC

The IRA Installation Analyst assists with the plan set up process and ensures the Financial ... Data input and verification of all customer information pertaining to the initial application

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All JobsData Analyst JobsData Analyst Jobs in Ladson, SC

Data Analyst information

See Ladson, SC salary details

$32K

$77.7K

$127.8K

How much do data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data analyst in Ladson, SC is $77,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $91,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Ladson, SC? The most popular types of Data Analyst jobs in Ladson, SC are:
What job categories do people searching Data Analyst jobs in Ladson, SC look for? The top searched job categories for Data Analyst jobs in Ladson, SC are:
What cities near Ladson, SC are hiring for Data Analyst jobs? Cities near Ladson, SC with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Ladson, SC as of July 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $77,666 per year, or $37.3 per hour.

Data Analyst

Ignite Digital

Charleston, SC

$105K/yr

Other

Re-posted 5 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

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