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

Meta

Data Center Capacity Engineer

Forest City, NC

$83K/yr

... management and delivery experience. Certifications in Agile or PMP certification * Experience in the application of data-driven continuous improvement through lean Six Sigma data and process analysis ...

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. * Provide data pipeline and data to build executive dashboards that ...

Td

Data Scientist III

Greenville, SC · On-site

$96K - $155K/yr

... analysis, design and support of technical data management solutions on various projects ranging in ... complexity and size * Focuses on longer-range planning for functional area (e.g. 12 months or ...

Td

Collections Strategy Manager

Greenville, SC

$120K - $145K/yr

Risk Management We are seeking a highly analytical and strategic Credit Card Collections Strategy ... Leverage data analytics and segmentation to design targeted treatment strategies (SMS, digital ...

Scan source

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 ...

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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 Center Capacity Engineer

Forest City, NC

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$83K/yr

Full-time

Posted 16 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is seeking a Data Center Capacity Engineer to support the planning, analysis, and optimization of server and infrastructure capacity across our global data center fleet. In this role, you will work at the intersection of site operations and capacity planning, translating demand forecasts and utilization data into actionable deployment strategies that ensure Meta's data centers can reliably support billions of users. You will collaborate with infrastructure, network, and operations teams to align capacity supply with business demand, identify bottlenecks, and drive efficient use of compute, storage, and power resources across large-scale data center environments.
Data Center Capacity Engineer Responsibilities:
  • Overall accountability for capacity workflows (receiving, moves, decommissions), facilitating collaboration among various cross-functional partners to meet capacity demands
  • Collaborate closely with key stakeholders and partners to implement strategies and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers
  • Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the site
  • Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta’s growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers
  • Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations
  • Implement and share best practices across all global data centers for all elements of capacity while establishing standard practices for innovation, collaboration, accountability, continuous improvement, and safety
  • Drive alignment and execution of key capacity, engineering, and operational initiatives across functional partners at the site. Ensure operational consistency, to scale operations efficiently and effectively
  • Lead data analytics, metrics, and interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution
  • Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintaining, and decommissioning of server hardware at scale
  • Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure
  • Share knowledge with capacity team members, both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way
  • Display knowledge of infrastructure (including, but not limited to, cooling, power, networking) as it relates to the capacity role

Minimum Qualifications:
  • 5+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management
  • BS, BA, or BEng in a relevant field, or equivalent experience or certification
  • Experience in process ownership and development, and in systems development
  • Knowledge of enterprise-level networking, server, and storage installs
  • Comprehensive understanding of data center infrastructure systems and applications, as well as technical knowledge from related industries such as pharmaceuticals, nuclear, or large-scale manufacturing
  • Ability to communicate effectively, in a clear and concise manner, and appropriately tailor messages to the audience
  • Demonstrated ability to solve complex problems and to think at scale

Preferred Qualifications:
  • SQL, Python, or other programming and automation experience
  • Project management and delivery experience. Certifications in Agile or PMP certification
  • Experience in the application of data-driven continuous improvement through lean Six Sigma data and process analysis, visualization, and data modeling

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$83,990/year to $130,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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