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Data Analytics Jobs in Lancaster, SC (NOW HIRING)

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

New

Data Engineer AWS OpenSearch

Fort Mill, SC · On-site

$100K - $120K/yr

Data Engineer AWS OpenSearch Location: Fort Mill, SC Hybrid Job Summary We are seeking an ... Design and maintain OpenSearch indexes, mappings, analyzers, and query performance. * Integrate ...

Business Data Analyst

Charlotte, NC · On-site

$45 - $50/hr

About the Role Business Data Analysts partner with external vendors and internal teams to obtain and validate all necessary plan data for retirement plan transitions. They ensure data completeness ...

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

AWS Certifications (Solutions Architect, Data Analytics Specialty) * Strong communication and leadership skills to work across business and technical teams

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

AWS Solutions Architect Professional and/or AWS Data Analytics Specialty * Snowflake and/or Databricks * Delta Lake, Iceberg, Hudi, Lakehouse architectures * Collibra, Alation, Glue Catalog, Great ...

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Data Analytics information

See Lancaster, SC salary details

$20

$46

$80

How much do data analytics jobs pay per hour?

As of Aug 31, 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 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 are the most commonly searched types of Data Analytics jobs in Lancaster, SC?

The most popular types of Data Analytics jobs in Lancaster, SC are:

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:

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.

Data Analytics Manager - Supply Chain

Fort Mill, SC • On-site

Ross
Retail • 10K+ employees

Full-time

Re-posted 6 days ago


Job description

GENERAL PURPOSE:
The Manager of Data & Analytics will be responsible for elevating the analytical capabilities within the Ross Supply Chain and leading sophisticated analysis in support of strategic projects and senior executives. Drives analytic excellence by identifying and adopting new analytical methodologies and increasing business access to data. An integral part of the business, helping to drive decision making, execution and assessment through rigorous analysis. Expected to focus on project-based (and ad hoc) work supporting key strategic priorities for the business. Works in close partnership with the Engineering team and other cross-functional partners. Will keep current with the latest academic research in data science and identify new business opportunities that can be solved using machine learning.
ESSENTIAL FUNCTIONS:
Perform practical, action oriented, & comprehensive data analysis to diagnose business problems, optimize business approaches and measure impact - supporting multiple functions.
• Lead analytics for select cross-functional initiatives (e.g. region split, new format improvement, roll-out strategy for new business opportunities). This will require working closely with areas like Marketing, Planning, Store Operations, DCs and others.
• Play the role of "Subject Matter Expert" for analytics on these projects.
• Flexibly support different types of analysis (e.g. manipulating large data sets, building models, statistical analysis), leveraging understanding of the off-price business/Ross/dd's to drive insights and recommendations.
• Independently summarize and communicate insights and recommendations with business partners.
Drive analytic excellence
• Independently identify opportunities for better data access, build roadmap for advanced analytics at Ross, understand the requirements, and get leadership support.
• Keep abreast of new analytical /statistical methodologies or capabilities, e.g. through annual conversations with vendors, or ad hoc investigation when new analysis requires new techniques.
• Recommend upgrades or external trainings as needed.
• Adopt new technologies and/or methodologies and train others on them.
• Lead the build out of advanced data capabilities at Ross, while effectively communicating and partnering with the appropriate parties.
Communicate analytics and recommendations in an easy-to-understand way (written and verbal)
• Develop compelling materials to communicate results of analysis and key insights.
Ad hoc support
• Become the point person / subject matter expert for ad hoc questions from cross-functional business partners.
COMPETENCIES:
• Problem Solving
• Technical/Functional Skills
• Business Acumen
• Technical Learning
• Intellectual Horsepower
• Peer Relationships/Collaboration
• Learning on the Fly
• Drive for results
QUALIFICATIONS AND SPECIAL SKILLS REQUIRED:
• Strong analytic skills with recent work experience writing MS SQL or Oracle SQL queries
• Must be proficient in Excel and PowerPoint, and have experience in Power BI or Tableau
• Outstanding analytical ability: Must have a data driven approach to solving problems. Requires very strong quantitative skills and a good sense of how to structure problems.
• Minimum 5 years post college experience, with work experience in analytical positions. Relevant retail/Supply Chain experience preferred.
• Project Management: Must be able to set priorities between multiple projects and deadlines, and keep senior team updated frequently.
• Detail-oriented approach: Must have very close attention to details and the drive to get things right.
• MBA or Master's degree in a quantitative field
PHYSICAL REQUIREMENTS/ADA:
Job requires ability to work in an office environment, primarily on a computer.
Requires sitting, standing, walking, hearing, talking on the telephone, attending in-person meetings, typing, and working with paper/files, etc.
Consistent timeliness and regular attendance.
Vision requirements: Ability to see information in print and/or electronically.
This role requires regular in-office presence, including to engage in in-person team interaction, meetings and collaboration, client support, mentoring, coaching, and/or feedback. However, this role can perform duties effectively using a combination of in-office and remote work.
#LI-Hybrid
SUPERVISORY RESPONSIBILITIES:
None
DISCLAIMER
This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at management's discretion.
Ross is an equal employment opportunity employer. We consider individuals for employment or promotion according to their skills, abilities and experience. We believe that it is an essential part of the Company's overall commitment to attract, hire and develop a strong, talented and diverse workforce. Ross is committed to complying with all applicable laws prohibiting discrimination based on race, color, religious creed, age, national origin, ancestry, physical, mental or developmental disability, sex (which includes pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), veteran status, military status, marital or registered domestic partnership status, medical condition (including cancer or genetic characteristics), genetic information, gender, gender identity, gender expression, sexual orientation, as well as any other category protected by federal, state or local laws.

Ross Stores logo

About Ross Stores

Sourced by ZipRecruiter

We’re big as the nation’s largest off-price retail chain, we have a great deal of purchasing power. We’re savvy our buyers search the globe for the best brands and latest styles. We work directly with manufacturers to negotiate the best deals! We believe in “no frills”, no window displays, mannequins, fancy fixtures or decorations in our stores so we can pass more savings on to our customers. We love new buys, we keep it simple so we can get the great buys into our stores quickly, which means almost every day!

Industry

Retail and apparel and accessories stores

Company size

10,000+ Employees

Headquarters location

Dublin, CA, US