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Remote Data Optimization Jobs in Simpsonville, SC

Sulzer AG

Business Development Director

Easley, SC · On-site +1

Drive the execution and high user adoption of sales optimization tools (Salesforce CRM, CPQ ... Oversee data mining, ERP data accessibility, and management-level dashboards to track Order Intake ...

DPR Construction

HR Technology Leader

Greenville, SC · On-site +1

This role oversees the evaluation, implementation, optimization, and governance of all People ... This role is remote and open to candidates in the continental United States. This role requires ...

ABB

Strategic Segment Proposal Engineer

Belton, SC · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

ABB

Strategic Segment Proposal Engineer

Greenville, SC · Remote

... data centers and critical manufacturing facilities). You will work with Strategic Account Sales ... This is a remote position. Candidates can be located anywhere in the US. This role is contributing ...

All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Simpsonville, SC

Remote Data Optimization information

See Simpsonville, SC salary details

$14

$50

$72

How much do remote data optimization jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote data optimization in Simpsonville, SC is $50.35, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $59.66 per hour, depending on experience, location, and employer.

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.
Remote Data Optimization jobs near you
Infographic showing various Remote Data Optimization job openings in Simpsonville, SC as of July 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% Remote job distribution, with an average salary of $104,732 per year, or $50.4 per hour.

Data Analyst - Logistics/Sourcing

Kelly Services

Greenville, SC • Remote

$24 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New

Job description

Data Analyst – Logistics/Sourcing

Company: GE Vernova
Location: Remote
Schedule: Monday–Friday | 8:00 AM–5:00 PM EST

Pay: $24-$26/hr

Location Note: This position is fully remote. Candidates located within a reasonable distance of Greenville, SC or Schenectady, NY are preferred for occasional onsite meetings or conferences, but proximity is not required.

Position Overview

GE Vernova is seeking an experienced Data Analyst – Logistics/Sourcing to provide high-level analytical support to the Wind Outbound team. This role will use logistics, sourcing, and financial data to identify trends, control transportation costs, improve operational performance, and support strategic supply chain decisions.

The ideal candidate has strong analytical skills, advanced Excel expertise, and experience turning complex datasets into clear, actionable business insights.

Key Responsibilities

  • Market & Pricing Analysis: Monitor logistics market trends and transportation pricing. Develop forecasts, evaluate market competitiveness, and identify cost-saving opportunities.

  • Reporting & Dashboards: Create and maintain dashboards that track transportation costs, service performance, utilization, and savings. Prepare daily, weekly, monthly, and annual reports.

  • Cost-Benefit Analysis: Develop financial models and perform cost-benefit analyses to support transportation strategies and supply chain optimization initiatives.

  • Data Auditing & Accuracy: Review logistics data for accuracy, identify anomalies or discrepancies, and partner with internal teams to resolve issues.

  • Process Improvement: Identify opportunities to automate manual reporting and data processes to improve efficiency and accuracy.

  • Cross-Functional Collaboration: Work with internal teams to summarize project spend, evaluate logistics strategies, and communicate data-driven recommendations.

  • Budget & Strategic Planning: Provide analytical support for budgeting and assess the financial impact of operational and transportation changes.

Required Qualifications

  • 5+ years of experience in data analysis, supply chain reporting, financial analysis, or logistics analytics.

  • 2+ years of experience in logistics, supply chain, project management, or a related analytical field.

  • Advanced Microsoft Excel skills, including complex formulas, pivot tables, data analysis, and visualization.

  • Experience with data management and reporting tools; Access, SQL, and/or BI tools are preferred.

  • Strong written and verbal communication skills with the ability to present analytical findings to multiple levels of stakeholders.

  • Ability to manage large datasets while maintaining a high level of accuracy and attention to detail.

  • Fluent written and spoken English.

Preferred Qualifications

  • Bachelor’s degree in Finance, Accounting, Business Analytics, Supply Chain Management, or a related field.

  • Experience translating large and complex datasets into concise executive-level reports and recommendations.

  • Strong critical-thinking, analytical, and problem-solving abilities.

  • Ability to manage multiple priorities in a fast-paced environment.

  • Quick learner who can adapt to new reporting systems, software, and analytical tools.

  • Proactive approach to identifying data issues, process improvements, and cost-saving opportunities.

Ideal Candidate

You are a detail-oriented analyst who enjoys transforming data into meaningful business insights. You understand how logistics and transportation decisions impact costs and overall supply chain performance, and you can confidently communicate your findings to both technical and non-technical stakeholders.


As part of our promise to talent, Kelly supports those who work with us through a variety of benefits, perks, and work-related resources. Kelly offers eligible employees voluntary benefit plans including medical, dental, vision, telemedicine, term life, whole life, accident insurance, critical illness, a legal plan, and short-term disability. As a Kelly employee, you will have access to a retirement savings plan, service bonus and holiday pay plans (earn up to eight paid holidays per benefit year), and a transit spending account. In addition, employees are entitled to earn paid sick leave under the applicable state or local plan. Click here for more information on benefits and perks that may be available to you as a member of the Kelly Talent Community.

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