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Data Analytics Jobs in Sumter, SC (NOW HIRING)

Data Strategy-Manager

Columbia, SC · On-site

$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 ...

Data Architect

Columbia, SC

$59 - $75.75/hr

INTERPRET DATA, ANALYZE RESULTS USING STATISTICAL TECHNIQUES AND PROVIDE ONGOING REPORTS DEVELOP AND IMPLEMENT DATABASES, DATA COLLECTION SYSTEMS, DATA ANALYTICS AND OTHER STRATEGIES THAT OPTIMIZE ...

Data Governance- Manager

Columbia, SC · On-site

$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 ...

You will own our analytics infrastructure end-to-end, from raw event tracking in GA4 through ... You do not need to be a data scientist, but you need to be deeply curious, self-directed, and ...

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Analytical Chemist

Sumter, SC · On-site

$50K - $75K/yr

Lead data analysis efforts using statistical tools to interpret results accurately. * Prepare detailed analytical and method validation reports, interpret stability trends and investigate OOS reports ...

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Analytical Chemist

Sumter, SC · On-site

$50K - $75K/yr

Lead data analysis efforts using statistical tools to interpret results accurately. * Prepare detailed analytical and method validation reports, interpret stability trends and investigate OOS reports ...

Data Architect

Columbia, SC · On-site

$59 - $75.75/hr

Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge ...

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 ...

New

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 ...

Data Analysis Tutor

Columbia, SC · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching & Problem-Solving: Skilled at teaching data manipulation, visualization creation, and insight extraction ...

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Data Analytics information

See Sumter, SC salary details

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$48

$84

How much do data analytics jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analytics in Sumter, SC is $48.76, according to ZipRecruiter salary data. Most workers in this role earn between $39.18 and $55.24 per hour, depending on experience, location, and employer.

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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Sumter, SC?

The most popular types of Data Analytics jobs in Sumter, SC are:

What are popular job titles related to Data Analytics jobs in Sumter, SC?

For Data Analytics jobs in Sumter, SC, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Sumter, SC look for?

The top searched job categories for Data Analytics jobs in Sumter, SC are:

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

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

Infographic showing various Data Analytics job openings in Sumter, SC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $101,412 per year, or $48.8 per hour.

Data Analytics - Technical Field Data

Columbia, SC

$120K/yr

Full-time

Posted 2 days ago

New


Job description

Data Analytics Specialist
Columbia, SC
 
Direct Placement
Up to $120k yearly
Paid Relocation Available
 
 
 
As a Field Monitoring Quality Specialist, you will act as a strategic partner, diving deep into vehicle and field data to identify issues that may impact customer experience and vehicle performance. Your insights will enable early detection and proactive resolution of potential concerns, helping improve product quality while strengthening customer trust and brand reputation
“In this critical role, you will help, design and implement solutions to monitor and integrate data from diverse communication channels including customer surveys, social platforms, and connected vehicle telemetry to create a comprehensive view of field performance”. We are looking for someone who thrives in complex, high-volume data environments and can uncover meaningful insights from ambiguity.
Partnering closely with engineering teams, you will play a key role in identifying product issues, guiding investigations, and ensuring teams focus on the most critical data to accelerate resolution and protect both our customers and brand reputation. Your work will have a direct impact on product development, system engineering, and the resolution of complex warranty and quality issues across our vehicle portfolio.
 
 
 
Key Responsibilities:
 Field Issue Detection & Resolution
  • Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
  • Identify patterns in fleet data to enable early detection of emerging quality issues
  • Drive faster resolution through data-driven insights and cross-functional collaboration
Data Strategy & Analytics:
  • Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
  • Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
  • Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
 
AI/ML & Advanced Analytics
  • Develop and deploy AI/ML models for:
  • Anomaly detection
  • Failure prediction
  • Sentiment analysis
  • Leverage analytics to improve customer satisfaction, reliability, and warranty performance
Data Management & Integration
  • Act as the bridge between software-defined vehicle data policies and real-world engineering insights
  • Ensure data pipelines are robust, accurate, and actionable
  • Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability
Cross-Functional Collaboration
  • Work closely with:
  • Vehicle engineering (hardware & software)
  • Connected vehicle and app development teams
  • Service, warranty, and customer support organizations
  • Enhance data collection capabilities, user interfaces, and reporting standards across systems 
Customer Insight & Voice of Customer (VoC)
  • Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
  • Design and implement customer surveys and feedback frameworks to assess product satisfaction
  • Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
 
 
Qualifications:
  • Education/Certifications: A bachelor’s degree in engineering, computer science and/or data science.
  • Years of Experience: 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment. Relevant experience in other sectors will also be considered.
  • Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments is preferred. 
  • Experience from non-automotive would also be acceptable with the ability to absorb meta data to perform root cause analysis.
  • Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms)
  • Experience in running Java Script, Python, SQL, HTML/CSS
  • Experience in deploying AI-based solutions and tools for data processing. Ability to build full-scale AI-powered products from scratch using available open AI
  • Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics
  • Understand data warehouse systems like Basic AWS or Azure data services or Databricks. Ability to support enterprise projects on as need basis.
  • Ability to work across functions and translate data insights into engineering actions
  • Experience with PBI and PowerApps, building app own-made solutions for data analytics.
  • Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
 
 
We are an EOE.