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Data Analytics Jobs in Simpsonville, SC (NOW HIRING)

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 ...

The Intersect Group

Cloud Data Engineer

Greenville, SC · On-site

$100K - $121K/yr

You will collaborate with business analysts, software developers, and data scientists to create reliable data pipelines, cloud based architectures, and production ready machine learning solutions ...

New

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 ...

Varsity Tutors

Data Analysis Tutor

Greenville, 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 ...

Pwc

Data Engineer - Senior Associate

Spartanburg, SC · On-site

$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 · On-site

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 · 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 ...

Td

Data Scientist - FCRM

Greenville, SC · On-site

$96K - $155K/yr

Analytics, Insights, & Artificial Intelligence ATTN: This role is not eligible for TD work visa ... The Data Scientist III provides technical leadership across the overall Analytics function which ...

Lockheed Martin

Data Analyst Sr- Level 3

Greenville, SC · On-site +1

$76K - $96K/yr

The Greenville Quality Engineering Team within Lockheed Martin Aerospace is seeking a senior data scientist analyst who will play a key role in developing, deploying, and maintaining data based ...

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements.

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45.96 - $50.96/hr

Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements.

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Simpsonville, SC

Data Analytics information

See Simpsonville, SC salary details

$21

$48

$83

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Simpsonville, SC is $48.52, according to ZipRecruiter salary data. Most workers in this role earn between $38.99 and $54.95 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 are popular job titles related to Data Analytics jobs in Simpsonville, SC? For Data Analytics jobs in Simpsonville, SC, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Simpsonville, SC look for? The top searched job categories for Data Analytics jobs in Simpsonville, SC are:
What cities near Simpsonville, SC are hiring for Data Analytics jobs? Cities near Simpsonville, SC with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Simpsonville, 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 $100,924 per year, or $48.5 per hour.

VP Business Analytics

OTO Development

Spartanburg, SC • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.

OTO Development rating

8.0

Company rating: 8.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Shape the Decisions That Drive a Growing Hospitality Leader
OTO Development owns and manages a portfolio of upscale, service-focused, lifestyle and extended stay hotels in key markets across the United States-and the data behind that growth lives here at our Spartanburg Headquarters. 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 direct impact on your workplace-and at this level, that means shaping how an entire organization thinks, plans, and performs.
Guided by principles of integrity, partnership, humility, and principled entrepreneurship, amongst others, OTO is a place where analytical rigor is valued and leaders are trusted to lead. If you're energized by meaningful problems, motivated by real accountability, and ready to put down rooms in one of the Southeast's most liveable cities, we'd love to meet you.
*This role is based out of our Spartanburg Headquarters*
Vice President of Business Analytics
Department: Corporate G and A
Reports To: Chief Executive Officer
FLSA: Exempt
Location: Spartanburg Corporate Office
Position Summary
The Vice President of Business Analytics is responsible for leading the organization's enterprise data strategy and transforming data into actionable insights that drive business performance. This executive role oversees data governance, analytics, reporting, business intelligence, and advanced analytics initiatives to support strategic decision-making across the company.
The VP will establish scalable data infrastructure, ensuring data integrity, and enabling leaders to leverage data to improve operational efficiency, customer experience, and financial performance.
This leader serves as a strategic partner to executive leadership and operational teams to embed data-driven decision making into all aspects of the organization.
Key Responsibilities
  • Serve as the executive leader for data governance, analytics, reporting, and data architecture.
  • Partner with executive leadership to identify opportunities where data can drive measurable business outcomes.
  • Lead the design and implementation of enterprise reporting and business intelligence platforms.
  • Develop dashboards and analytics frameworks that enable leaders to track key business metrics.
  • Translate complex data insights into clear, actionable recommendations for senior leadership.
  • Ensure accuracy, consistency, and integrity of data across systems.

Education
  • Bachelor's Degree in Quantitative Field (Economics, Engineering, Statistics, Math, Data Analytics, or Business Analytics).

Experience
  • 10+ years of experience in data analytics, business intelligence, or data strategy.
  • 5+ years in a senior leadership role managing analytics or data teams.
  • MBA or MS in quantitative field.
  • Proven experience building enterprise analytics capabilities.
  • Experience working with executive leadership to influence strategic decisions.
  • Multi-location or operational businesses, i.e., hospitality, retail, healthcare, etc. (preferred).

Supervisory Responsibility
  • This position supervises a team of leaders and analysts.

Travel
  • Some travel may be needed for this position. Travel is outside the local area and overnight.

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