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Data Analytics Jobs in Florence, SC (NOW HIRING)

Data Analysis Tutor

Florence, SC ยท 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 ...

Data Science Tutor

Florence, SC ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Business Analytics Tutor

Florence, SC ยท Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

SAP Engineer MM/WM

Florence, SC ยท On-site

$85K - $95K/yr

Perform inventory data analysis, reporting, and validation. * Identify root causes for excess inventory buildup, including: * Forecast inaccuracies * Engineering Change Notice (ECN) impacts * Minimum ...

Microsoft Excel Tutor

Florence, SC ยท Remote

$18 - $40/hr

Ability to explain cell referencing, formula nesting, and data analysis workflows while preparing students for business, finance, and data analysis applications. * Conceptual Teaching & Problem ...

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Data Analytics information

See Florence, SC salary details

$23

$52

$91

How much do data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analytics in Florence, SC is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.55 and $59.95 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 Florence, SC?

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

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

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

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

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

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

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

Infographic showing various Data Analytics job openings in Florence, SC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $89,153 per year, or $42.9 per hour.

Director of Data Analytics and Operational Initiatives

Patrick, SC โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Job Posting Title:
Director of Data Analytics and Operational Initiatives
Position Type:
Professional / Unclassified
Department:
LSUAM Engineering - Department of Administration (Ami Parks McGucken (00003303))
Work Location:
2214 Patrick F. Taylor Hall
Pay Grade:
Professional
Job Description:
25% Develop and maintain data visualizations, dashboards, and executive reporting frameworks that support data-driven decision-making by College leadership.
20% Lead the design and implementation of centralized, standardized workflows across operational and administrative functions (e.g., inventory management, procurement, HR processing, budget and financial operations) to drive alignment and efficiency College-wide.
10% Partner with the Dean's Office and unit leadership across the College to assess current operational and administrative processes, identify gaps, inefficiencies, and pain points, and define priority areas for improvement.
10% Serve as the primary liaison to the coding/development team, translating operational requirements into clear functional and technical specifications for new or updated electronic workflows, tracking systems, and databases.
10% Manage the full lifecycle of operational improvement projects - planning, execution, monitoring, risk identification and mitigation - ensuring initiatives are delivered on time, within budget, and to quality standards.
10% Maintain, support, and iteratively improve previously implemented workflows and systems based on user feedback and evolving business needs, while continuously identifying and advancing the next operational priority.
10% Lead change management efforts for new processes and workflows, including developing training materials, documentation, and job aids, and designing and delivering training sessions/classes to drive successful adoption across the College.
5% Prepare and present regular progress reports, performance metrics, and recommendations to the Dean's Office and other key stakeholders. Other duties as assigned.
Minumum Qualifications
Bachelor's degree in Business Administration, Data Analytics, Engineering, or a related field with 7 years of related experience.
Specific Experience: Demonstrated experience leading process improvement or operational initiatives, managing projects, and working with technical/development teams to implement data or workflow systems.
LSU vales skills, experience, and expertise. Candidates who have relevant experience in key job responsibilities are encouraged to apply--a degree is not required as long as the candidate meets the required years of experience specified in the job description.
Preferred Qualifications
Master's degree in Business Administration, Data Analytics, Engineering, or a related field with 9+ years of related experience, including supervisory experience.
Specific Experience: Experience in higher education administration; experience with data visualization/BI tools (e.g., Power BI, Tableau); familiarity with process improvement methodologies (e.g., Lean, Six Sigma); experience defining specifications for software/workflow development; experience leading organizational change management and developing/delivering end-user training programs.
Preferred Certifications/Licenses: PMP, Lean Six Sigma, or equivalent certification
Additional Job Description:
Special Instructions:
The Director of Data Analytics and Operational Initiatives serves as a strategic leader within the College of Engineering, driving operational excellence and data-informed decision-making across the College's administrative and business functions. This position partners with the Dean's Office and unit leadership to identify operational gaps, inefficiencies, and pain points, then leads the redesign of processes into streamlined, centralized, and standardized workflows.
A core function of this role is translating business and operational requirements into technical specifications, working directly with the coding/development team to build and deploy electronic workflows, tracking tools, and reporting systems that increase efficiency, accountability, and visibility across the College. This includes areas such as inventory management, procurement, HR and budget processing, facilities requests, and other administrative operations.
This position operates iteratively: once a workflow or system is implemented, the Director maintains and refines it based on user feedback and changing needs, while simultaneously identifying and prioritizing the next opportunity for centralization, alignment, and process improvement across the College's operations.
The Director also serves as the College's change management lead for these initiatives, guiding faculty and staff through the adoption of new processes and systems. This includes developing training materials, documentation, and job aids, and designing and delivering training sessions and classes to ensure end users are equipped to successfully transition to and sustain new workflows.
Questions regarding this position can be directed to Ami McGucken at amcgucken@lsu.edu.
Skills Needed:
Adaptability, Collaboration, Communication, Leadership, Policy Development, Project Management, Resource Management, Risk Mitigation
Preferred Skills:
Posting Date:
August 25, 2026
Closing Date (Open Until Filled if No Date Specified):
December 23, 2026
Additional Position Information:
Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.
Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!
Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.
Essential Position (Y/N):
LSU is an Equal Opportunity Employer.
All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.
HCM Contact Information:
For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.