1

Data Analytics Jobs in Bluffton, SC (NOW HIRING)

Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. * Collaboration ...

Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. * Collaboration ...

Digital Analyst Internships

Savannah, GA · On-site

$91K - $108K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Digital Analyst Internships

Savannah, GA

$91K - $108K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Design and maintain executive-level dashboards, KPI scorecards, and self-serve analytics tools that support strategic decision-making. * Translate complex data sets into clear, compelling narratives ...

Showing results 21-40

Data Analytics information

See Bluffton, SC salary details

$22

$51

$88

How much do data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data analytics in Bluffton, SC is $51.00, according to ZipRecruiter salary data. Most workers in this role earn between $40.96 and $57.79 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 job categories do people searching Data Analytics jobs in Bluffton, SC look for? The top searched job categories for Data Analytics jobs in Bluffton, SC are:
What cities near Bluffton, SC are hiring for Data Analytics jobs? Cities near Bluffton, SC with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Bluffton, 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 $106,090 per year, or $51 per hour.

Nursing Quality/Stroke & Sepsis Data Analyst- On site

St. Joseph's/Candler

Savannah, GA • On-site

$32.26/hr

Full-time

Re-posted 28 days ago


St. Joseph's/Candler Health System rating

6.7

Company rating: 6.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

  • Position Summary
    • Under the direction of the Director of Professional Practice, Specialty Services & Infection Control, the Stroke/Sepsis Data Analyst will abstract, coordinate and manage the internal and external data reporting needs of the Sepsis and Stroke Programs, as well as other disease specific programs as assigned. Will assist Director, Sepsis Coordinator, Stroke Coordinator and CNO with decision support, standardized report preparation, feedback to clinical teams, process improvement teams and stakeholders.
  • Education
    • Bachelors of Nursing - Preferred (or) Healthcare Sciences - Required
    • Clinical Licensure - Required
    • Masters - Preferred
  • Experience
    • 2-3 Years Health Care Information Technology - Required
    • Quality data management, surveillance, reporting to externally managed databases
  • License & Certification
    • Professional Certification - Required
    • As determined by Education (i.e. nursing license required if applicable to degree)
  • Core Job Functions
    • Manages external databases including Joint Commission, American Heart Association, Coverdell registry by entering required information in a timely manner to meet reporting guidelines and requirements.
    • Daily concurrent reviews for Stroke and Sepsis patients - clinical quality data is abstracted from the medical record and entered into quality format according to established deadlines. Quality review data is shared with stroke coordinator and sepsis coordinator for validation and dissemination to stakeholders.
    • Participate in quality improvement activities as requested. Works with process improvement teams to analyze performance data and develop PI tools and methodologies to improve patient care (for example: Door to Needle Times).
    • Provides concurrent feedback to clinical teams to address potential missed opportunities.
    • 30-day discharge follow up list preparation.
    • Generates reports and graphs for monthly meetings and trending for data reporting to internal and external stakeholders.

What St. Joseph's/Candler Health System employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom