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Data Analytics Jobs in Boiling Springs, SC (NOW HIRING)

AFL

Data Governance Analyst

Duncan, SC · On-site

An AFL Data Governance & Analytics Analyst plays a critical role in transforming complex enterprise data into trusted insights that drive business decisions, operational performance, and continuous ...

Pwc

Data Strategy-Manager

Spartanburg, SC

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Spartanburg, SC

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

OTO Development

VP Business Analytics

Spartanburg, SC · On-site +1

As VP of Business Analytics, you'll sit at the intersection of strategy and insight, turning complex data into the decisions that move a company forward. When you join OTO, your contributions have a ...

OTO Development

VP Business Analytics

Spartanburg, SC · On-site

As VP of Business Analytics, you'll sit at the intersection of strategy and insight, turning complex data into the decisions that move a company forward. When you join OTO, your contributions have a ...

Pwc

AI & GenAI Data Scientist-Director

Spartanburg, SC · On-site

$155K - $410K/yr

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Manager

Spartanburg, SC

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Manager

Spartanburg, SC

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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 ...

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All JobsData Analytics JobsData Analytics Jobs in Boiling Springs, SC

Data Analytics information

See Boiling Springs, SC salary details

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$47

$82

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Boiling Springs, SC is $47.97, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $54.33 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 job categories do people searching Data Analytics jobs in Boiling Springs, SC look for? The top searched job categories for Data Analytics jobs in Boiling Springs, SC are:
What cities near Boiling Springs, SC are hiring for Data Analytics jobs? Cities near Boiling Springs, SC with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Boiling Springs, SC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,775 per year, or $48 per hour.

Data Governance Analyst

AFL

Duncan, SC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 24 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!

We are seeking a Data Governance & Analytics Analyst to join our team. This position will be able to work remotely from anywhere in the United States.
An AFL Data Governance & Analytics Analyst plays a critical role in transforming complex enterprise data into trusted insights that drive business decisions, operational performance, and continuous improvement. Combining strong analytical expertise with data governance principles, this role partners with business leaders to identify trends, risks, and opportunities, ensuring data is governed, trusted, and leveraged as a strategic asset. Working across business strategy, data analytics, and emerging AI-enabled capabilities, the role collaborates with Data Owners, Data Stewards, business stakeholders, and the Data Governance Council to improve data quality, strengthen governance, and enable data-driven decision-making.
Key Responsibilities
  • Lead engagement with senior business stakeholders to define data governance priorities, align on business objectives, and translate needs into actionable data initiatives.
  • Lead the planning, coordination, and execution of data governance initiatives, ensuring alignment with business priorities, timelines, and governance objectives.
  • Perform advanced analysis of complex enterprise datasets to identify trends, anomalies, root causes, risks, and opportunities that drive governance decisions, operational improvements, and business outcomes.
  • Develop executive dashboards, visualizations, and data stories that communicate meaningful insights, governance performance, emerging trends, and business recommendations.
  • Leverage AI-assisted analysis and productivity tools to improve data discovery, documentation, reporting, and insight generation while ensuring outputs are accurate, explainable, and aligned with data governance standards.
  • Drive the development, documentation, and maintenance of data governance frameworks, including data quality standards, data lineage, metadata management, and data stewardship models.
  • Partner with data owners and stewards to ensure accountability for data quality, integrity, and compliance across domains.
  • Support process assessments and root cause analyses to identify, document, and recommend scalable process and system improvements that enhance data quality and governance.
  • Support regulatory and compliance initiatives by ensuring adherence to data policies, standards, and controls.
  • Collaborate with technology, info security, risk, compliance, and business teams to operationalize governance tools and processes.
  • Mentor junior analysts and contribute to building best practices within the data governance function.

Key Competencies (Behavioral)
  • Advanced Written and Verbal Communication: Ability to distill complex data concepts into clear, compelling narratives for executive and non-technical audiences.
  • Relationship Building & Influence: Demonstrated ability to build strong, trust-based relationships with business partners and influence decision-making without direct authority.
  • Critical Thinking: Exceptional analytical and problem-solving skills, with the ability to challenge assumptions and evaluate data from multiple perspectives.
  • Strategic Thinking: Strong ability to connect data governance initiatives to enterprise strategy, risk management, and business value creation.
  • Analytical Curiosity: Demonstrates intellectual curiosity by exploring data beyond the obvious, asking insightful questions, identifying patterns, and uncovering root causes that drive business value.
  • AI & Digital Fluency: Demonstrates the ability to effectively leverage AI-enabled tools and emerging technologies to enhance analysis, productivity, and decision-making while applying sound judgment and validating results.
  • Leadership & Mentorship: Experience guiding junior team members and fostering a culture of data stewardship and accountability.
  • Stakeholder Management: Skilled at navigating complex organizational structures and aligning competing priorities.
  • Ownership & Initiative: Proven self-starter who proactively identifies opportunities, drives initiatives forward, and operates effectively with minimal direction.
  • Attention to Detail & Data Accuracy: Highly detail-oriented with a strong commitment to data integrity, quality, and precision in analysis and reporting.
  • Adaptability & Continuous Learning: Thrives in fast-paced environments, quickly adapting to change while continuously building knowledge in evolving data governance practices and tools.

Key Competencies (Technical)
  • Advanced understanding of data structures, relational databases, data modeling principles, and analytical techniques.
  • Advanced proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI) for data extraction, transformation, analysis, and validation.
  • Familiarity with Oracle EBS or other ERP, MRP, Supply Chain Planning and Scheduling systems.
  • Familiarity with data governance frameworks (g.DGI, DAMA-DMBOK).
  • Proven experience analyzing large, complex datasets using statistical, exploratory, and diagnostic analysis techniques to identify trends, anomalies, and improvement opportunities.
  • Identify patterns, trends, and opportunities within enterprise data that improve business processes, operational performance, and decision-making.
  • Experience translating complex data analysis into actionable insights and delivering clear, impactful presentations of findings and recommendations.
  • Experience using AI-enabled productivity tools (e.g., Microsoft Copilot, Microsoft Coworker, Claude, Power BI Copilot, or similar technologies) to support analysis, documentation, reporting, and business process improvement.
  • Ability to effectively validate AI-generated outputs using critical thinking, business knowledge, and data analysis techniques.
  • Experience with data governance tools (e.g., Collibra, Alation) and data management concepts (data quality, metadata, data lineage).
  • Demonstrated ability to manage and coordinate data governance initiatives, ensuring effective planning, execution, and stakeholder engagement.

Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Information Management, Mathematics, Engineering or a related discipline
  • 3-5+ years of experience in business analysis, data analysis, or data governance roles, preferably in a supply chain or manufacturing environment
  • Proven ability to work with a high degree of autonomy, exercise sound judgment and manage competing priorities while consistently delivering high-quality outcomes on time.
  • Familiarity with S&OP and/or IBP processes a plus.

Working Conditions
  • Normal office and manufacturing facility environment. Some travel may be required, but not frequent (<15%).

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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