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Data Analysis Manager Jobs in Ridgeville, SC (NOW HIRING)

Required Qualifications: * 5 years of experience supporting corporate operations with data management and analysis. * 3 years of experience in data management, data analysis, and data visualization ...

... Data Analysis Expressions) and Power Query (M code) * Translate complex algorithmic outputs and data models into clear, strategic visualizations and dashboards for workshop leadership. * Manage ...

... Data Analysis Expressions) and Power Query (M code) * Translate complex algorithmic outputs and data models into clear, strategic visualizations and dashboards for workshop leadership. * Manage ...

Analytics & Market Execution Conduct regular sales data analysis to improve performance and guide decision making. Work closely with portfolio management to achieve and exceed agreed upon goals of ...

Analytics & Market Execution Conduct regular sales data analysis to improve performance and guide decision making. Work closely with portfolio management to achieve and exceed agreed upon goals of ...

Perform management, technical, or business case analyses * Track program/project status and schedules * Apply government-instituted processes for documentation, change control management and data ...

Data Science Tutor

Charleston, SC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Showing results 21-40

Data Analysis Manager information

See Ridgeville, SC salary details

$22.2K

$87.6K

$142.4K

How much do data analysis manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analysis manager in Ridgeville, SC is $87,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $107,300.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

What is the difference between Data Analysis Manager vs Data Analyst?

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are popular job titles related to Data Analysis Manager jobs in Ridgeville, SC?

For Data Analysis Manager jobs in Ridgeville, SC, the most frequently searched job titles are:

What cities near Ridgeville, SC are hiring for Data Analysis Manager jobs?

Cities near Ridgeville, SC with the most Data Analysis Manager job openings:

Infographic showing various Data Analysis Manager job openings in Ridgeville, SC as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $87,649 per year, or $42.1 per hour.

Data Engineer - Mid-Level

Ignite Digital

Charleston, SC • On-site

Full-time

Posted 5 days ago


Job description

This role supports the Naval Research & Development Establishment (NR&DE) within the Decision Advantage Solutions Hub (DASH) Integrated Product Team (IPT). NR&DE includes 15+ warfare centers, NIWC Atlantic, University Affiliated Research Centers (UARCs), and a Federally Funded Research Development Center (FFRDC). The organization operates several Communities of Practice (CoPs), each focused on solving domainspecific challenges that often drive new analytics requirements.

As a Data Engineer, you will design, implement, and optimize data systems and pipelines that enable AI/ML applications for a Navy IT command. You will collaborate with AI/ML engineers and technical teams to ensure scalable, reliable data processing. This role applies modern data engineering practices to support machine learning deployment, enhance missioncritical operations, improve data quality, uphold security standards, and strengthen data workflows across the client's IT ecosystem.

Responsibilities:

  • Analyze use cases and highlevel requirements to define detailed requirements for data solution design and implementation.
  • Analyze and refine enterprise metrics and business rules with stakeholders; identify related data needs and sources.
  • Establish and update data architectures/models, data standards, transformations, and integrations.
  • Design, build, publish, refresh, and maintain reference materials defining terms, metrics, business rules, and similar artifacts for analysts and other consumers.
  • Provide automation through the development and deployment of modern softwareintensive solutions.

Required Qualifications:

  • 5 years of experience supporting corporate operations with data management and analysis.
  • 3 years of experience in data management, data analysis, and data visualization.
  • 3 years of Business Intelligence experience designing dashboards, reporting solutions, and integrations using the QLIK Advana reporting suite.
  • Experience designing varied data visualization techniques and selecting appropriate visuals for different audiences.
  • Experience with project planning, timeline/milestone recommendations, risk identification, crossfunctional collaboration, spreadsheetbased analytical modeling, and stakeholder communication.
  • Technical skills: Python, SQL, data modeling, APIs, data architecture.
  • Knowledge and skill with AI libraries.
  • BS degree in Physical Sciences, Computer Science, Mathematics, Psychology, Business Intelligence, Business Administration or Finance, Statistics, or Management Information Systems.

Salary: 95k+ to align with education and experience.