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Data Analytics Jobs in Lancaster, SC (NOW HIRING)

mlp

ETQ Administrator & Quality Analyst

Fort Mill, SC · On-site

In addition to system administration, this position leads quality data analytics initiatives, develops business intelligence solutions, and creates reporting tools that enable data-driven decision ...

Dentsply Sirona, Inc

Pricing Analyst

Charlotte, NC · On-site

$90K - $100K/yr

Coursework or exposure to financial modeling, data analytics, or business intelligence is a plus The base salary for this role located in North Carolina is between $90,000 - $100,000. Actual ...

ASSA ABLOY Group

BI Analyst / Developer

Monroe, NC · On-site

Required : • 5+ years of experience in business intelligence or data analytics • Strong expertise in requirements gathering and solution design • Experience working in global environments and ...

Saxon Global

Data Scientist

Fort Mill, SC · On-site

The role involves developing analytics models, sourcing data, and fostering data science capabilities within business functions. Responsibilities : • Improve organizational performance though the ...

Saxon Global

Data Scientist

Fort Mill, SC

Conceptualize, design and develop analytics models in addressing complex business problems ... Working with Data Engineers determine how to best source data, including identification of ...

Atlas Copco

Digital Solutions Analyst

Rock Hill, SC · On-site +1

$81K - $92K/yr

None Education * BS in Engineering, Information Systems, Data Analytics or equivalent required. (Master's degree is a plus) Experience * At least 2+ years of experience in a similar role. * Achieving ...

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All JobsData Analytics JobsData Analytics Jobs in Lancaster, SC

Data Analytics information

See Lancaster, SC salary details

$20

$46

$80

How much do data analytics jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data analytics in Lancaster, SC is $46.69, according to ZipRecruiter salary data. Most workers in this role earn between $37.50 and $52.88 per hour, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 are popular job titles related to Data Analytics jobs in Lancaster, SC? For Data Analytics jobs in Lancaster, SC, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Lancaster, SC look for? The top searched job categories for Data Analytics jobs in Lancaster, SC are:
What cities near Lancaster, SC are hiring for Data Analytics jobs? Cities near Lancaster, SC with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Lancaster, SC as of August 2026, with employment types broken down into 64% Full Time, 29% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $97,118 per year, or $46.7 per hour.

ETQ Administrator & Quality Analyst

mlp

Fort Mill, SC • On-site

Full-time

Re-posted yesterday

Job description

Job Title

ETQ Administrator & Quality Data Analyst

Job Summary

The ETQ Administrator & Quality Data Analyst is responsible for the administration, configuration, support, enhancement, and continuous improvement of the organization's ETQ Reliance/ETQ Octave Management System (MS). This role serves as the primary technical and functional expert for ETQ, ensuring system reliability, data integrity, user adoption, and alignment with business and regulatory requirements.

In addition to system administration, this position leads quality data analytics initiatives, develops business intelligence solutions, and creates reporting tools that enable data-driven decision making across Quality Operations. The role works closely with Information Technology (IT) and business stakeholders to integrate ETQ with other enterprise systems and to develop dashboards, databases, Power BI reports, Power Apps, and automated workflows that improve organizational performance.

Job Duties

Serve as the primary administrator for the ETQ Quality Management System.

  • Configure and maintain system applications, workflows, forms, fields, business rules, permissions, security roles, and notifications.
  • Establish and manage locations, departments, user access, organizational structures, and application configurations.
  • Monitor system performance and troubleshoot user issues.
  • Coordinate software updates, upgrades, testing, and implementation activities.
  • Administer development, testing, validation, and production environments.
  • Develop and maintain system documentation, validation records, and configuration standards.
  • Ensure system compliance with quality, regulatory, cybersecurity, and data governance requirements.
  • Support onboarding, training, and user adoption initiatives across the organization.
  • Manage vendor relationships and coordinate support activities with ETQ/Octave representatives.
  • Design, configure, and implement enhancements that improve workflow efficiency and user experience.
  • Develop new applications, forms, workflows, dashboards, and automation solutions within ETQ.
  • Lead system improvement projects and implementation of new functionality.
  • Support integration activities between ETQ and enterprise systems including JDE, SharePoint, Microsoft Power Platform, Salesforce, and other business applications.
  • Develop, maintain, and control procedures, work instructions, standards, templates, and user guides related to ETQ and associated quality systems.
  • Establish and maintain governance documents defining system administration, security, user access, data management, change management, and system validation requirements.
  • Ensure system documentation remains current, accurate, and aligned with organizational and regulatory requirements.

Data Analytics & Reporting

  • Develop and maintain enterprise quality metrics, reports and dashboards.
  • Create automated reporting solutions that support operational and strategic decision-making.
  • Analyze large datasets to identify trends, risks, recurring issues, and improvement opportunities.
  • Support KPI development and monitoring for: Customer Complaints, CAPA Effectiveness, Supplier Performance, Audit Results, Training Compliance, Quality Cost Metrics, Operational Performance Indicators
  • Design and deploy Power Apps that improve business processes and user workflows.
  • Manage data mapping, interface requirements, validation, and testing activities.
  • Ensure effective communication and data exchange between systems.
  • Identify opportunities to improve data visibility, workflow efficiency, and system effectiveness.

Apply problem-solving methodologies to resolve system and process issues.

  • Support digital transformation and automation initiatives.
  • Assist in standardizing quality processes across multiple facilities and business units.

Experience and Education

Bachelor's degree:  computer science, information systems, data analytics or engineering.

3-7+ years of experience with programming, database development, administration.

Experience with ETQ/Octave Reliance strongly preferred.

Experience supporting Quality Management Systems in manufacturing environments preferred.

Experience developing Power BI reports and dashboards required.

Experience with Power Apps and Power Automate preferred.

Experience with database administration, SQL, reporting tools, and business intelligence platforms preferred.

Competencies/Skills

  • ETQ Reliance / ETQ Octave administration and configuration.
  • Power BI report development and data visualization.
  • Power Apps application development.
  • Power Automate workflow development.
  • SQL and database management.
  • Data modeling and analytics.
  • System integration and API concepts.
  • Microsoft 365 applications and SharePoint.
  • Data governance and quality management principle
  • Strong analytical and problem-solving skills.
  • Ability to translate business requirements into technical solutions.
  • Strong project management and organizational skills.

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