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Data Analytics Jobs in Greer, SC (NOW HIRING)

AFL

Senior BI & Data Analyst

Duncan, SC · On-site

Job Summary We are seeking a Senior Business Intelligence & Data Analyst to join our team. This position will be able to work remotely from anywhere in the United States. This role involves ...

Lockheed Martin

Data Analyst Sr- Level 3

Greenville, SC · On-site

$85K - $150K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

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FS Operations Analyst

Greenville, SC · On-site

$55K/yr

Submit and manage tickets to completion on behalf of the FS team regarding systems, commercial credit bureau reports, data analytics, and other ad hoc requests. * Provide periodic communication to FS ...

DPR Construction

Data Engineering Lead- Finance

Greenville, SC · On-site

$107K - $129K/yr

Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices ...

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All JobsData Analytics JobsData Analytics Jobs in Greer, SC

Data Analytics information

See Greer, SC salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Greer, SC is $52.64, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $59.62 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 the most commonly searched types of Data Analytics jobs in Greer, SC? The most popular types of Data Analytics jobs in Greer, SC are:
What job categories do people searching Data Analytics jobs in Greer, SC look for? The top searched job categories for Data Analytics jobs in Greer, SC are:
What cities near Greer, SC are hiring for Data Analytics jobs? Cities near Greer, SC with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Greer, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,489 per year, or $52.6 per hour.

Senior BI & Data Analyst

AFL

Duncan, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Job description

AFL manufactures industry-leading fiber optic cable, connectivity and accessories and provides engineering and installation services for some of the largest telecom customers in the world. Our company was founded in 1984 with a single fiber optic cable and today, we manufacture thousands of products, generate an excess of $3B in revenue, and employ approximately 12,000 associates worldwide. At AFL, we recognize that our employees are our greatest asset. We hire and train each individual, investing in them to ensure success in their careers. With a commitment to professional development and growth, let us connect you to your next career opportunity.
What We Offer:
  • Flexible time off policy
  • 401K Company match (up to 4% - dollar for dollar)
  • Professional development, training, and tuition reimbursement programs
  • Excellent medical, dental, vision, and life insurance policy options
  • Opportunities for career advancement with an industry leading company!

Job Summary
We are seeking a Senior Business Intelligence & Data Analyst to join our team. This position will be able to work remotely from anywhere in the United States.
This role involves supporting the data and reporting requirements of AFL's Key Business Units. Under general supervision, the Analyst will design, develop, implement, enhance and maintain software applications partnering with internal business solution architects, business analysts, and systems analysts. This role requires heavy interaction with Key business leaders and managers to understand the daily operations and future goals. This will then have to be converted to requirements and/or reports. The focus of this individual is Data Analysis and Enterprise Reporting, and is expected to consistently follow the Agile methodologies in all development activities.
Responsibilities
  • Provide first hand support to business units with respect to their adhoc data and reporting requests
  • Works with internal and external customers and suppliers to understand the business requirements behind requested computing initiatives
  • Develops and deploys reports and dashboards in SSRS and Power BI
  • Provide inputs on data sources and quality into high-level data flow architecture
  • Design and develop ETL and integration solutions
  • Implement design patterns and industry best-practices to develop secure robust integration applications
  • Actively collaborate with developers and other project resources
  • Questions existing processes and procedures (both administrative and technical), and offers suggestions and opinions for continuous improvement.
  • Communicates technical ideas and concepts in non-technical language to the business.
  • Takes directions from and works with senior members of the development team on projects and tasks
  • Adheres to and promotes the environmental, health & safety policies of AFL.
  • Ability to effectively communicate with and educate business users and mid/senior management about data warehousing/business intelligence technology in business terms

Qualifications
  • Minimum of an Associate's degree in Computer Science, MIS, Computer Engineering, Mathematics, Science or Business Administration
  • 7-10 years of in-depth data analysis experience
  • Good handle on reporting and data presentation concepts, preferably Power BI
  • Experience writing SQL's in Oracle or SQL Server platform is mandatory
  • Strong SQL knowledge and query writing abilities including data validations and performance tuning
  • Apt to understand ETL processes and best practices
  • Experience documenting and communicating designs aligned to business requirements
  • Excellent verbal and written communication skills
  • Experience in the manufacturing industry preferred

Personal Attributes
  • Team player - comfortable in a cross-functional and multi-cultural environment
  • Adaptation - Ability to change direction in fast changing landscape with little residue
  • Working Style - Strong willingness to interact with the business stakeholders, understand the business, push back on trivial requests, prioritize, and be accountable for delivery
  • Interpersonal skills - a confident communicator with good oral and written communication skills, needed to work with internal and external customers and suppliers to understand the business requirements; able to explain solutions in a non-technical way.
  • Initiative - a self-starter who strives to achieve even in the most challenging environments.
  • Ability to logically solve complex multi-step process problems

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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