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Data Analytics Manager Jobs in Inman, SC (NOW HIRING)

AFL

Data Governance Analyst

Duncan, SC · On-site

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 ...

Sulekha.com New Media Pvt Ltd

Data Analyst

Easley, SC · On-site

And currently I'm working Google data analyst certification. I will be done with certification in 2 weeks My Skill Set * SQL * Data Cleansing * R Programming My Qualifications and Preferences Job ...

Pwc

AI & GenAI Data Scientist - Manager

Spartanburg, SC · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

BMW

Quality Data Co-op (Spring 2027)

Spartanburg, SC · On-site

Performs other duties as assigned by management. Assignment Duties * Quality, Data Analytics, Problem Solving: Engage in problem solving related to KPI impacts and quality. Develop new ways to ...

Pwc

Data Engineer - Senior Manager

Spartanburg, SC · On-site

$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 ...

Pwc

Data Strategy & Governance -Director

Spartanburg, SC · On-site

$155K - $410K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make ...

Meta

Data Center Capacity Engineer

Forest City, NC · On-site

$83K - $130K/yr

Meta is seeking a Data Center Capacity Engineer to support the planning, analysis, and optimization ... demand and supply management, production planning, operations planning, or infrastructure ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Inman, SC

Data Analytics Manager information

See Inman, SC salary details

$26.4K

$82.6K

$146.3K

How much do data analytics manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analytics manager in Inman, SC is $82,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,100.00 and $106,800.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What cities near Inman, SC are hiring for Data Analytics Manager jobs?

Cities near Inman, SC with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Inman, SC as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $82,635 per year, or $39.7 per hour.

Data Governance Analyst

Duncan, SC • On-site

AFL
Telecommunications • 1 - 5K employees
Learn more about AFLexternal

Full-time

Medical, Dental, Vision, Life, Retirement

Re-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!

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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