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Data Analytics Business Analyst Jobs in Rincon, GA

Georgia Eye Institute

Business Analyst

Savannah, GA

Bachelor's degree in Business, Healthcare Administration, Finance, Data Analytics, or related field (preferred) * Strong proficiency in data visualization tools (e.g., Power BI, Tableau, Excel ...

Georgia Eye Institute

Business Analyst

Savannah, GA · On-site

Bachelor's degree in Business, Healthcare Administration, Finance, Data Analytics, or related field (preferred) * Strong proficiency in data visualization tools (e.g., Power BI, Tableau, Excel ...

Parker's Kitchen

Retail Business Analyst

Savannah, GA

The Retail Business Analyst is a key strategic partner to leadership -- transforming complex retail ... analytics tools that support strategic decision-making. * Translate complex data sets into clear ...

Parker's Kitchen

Retail Business Analyst

Savannah, GA · On-site

The Retail Business Analyst is a key strategic partner to leadership - transforming complex retail ... analytics tools that support strategic decision-making. * Translate complex data sets into clear ...

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All JobsData Analytics Business Analyst JobsData Analytics Business Analyst Jobs in Rincon, GA

Data Analytics Business Analyst information

See Rincon, GA salary details

$17

$41

$67

How much do data analytics business analyst jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for data analytics business analyst in Rincon, GA is $41.32, according to ZipRecruiter salary data. Most workers in this role earn between $31.92 and $48.51 per hour, depending on experience, location, and employer.

Can I learn data analyst in 3 months?

Becoming a data analyst within three months is possible with intensive study, focusing on core skills like data manipulation, visualization, and tools such as Excel, SQL, and Tableau. However, gaining proficiency typically requires consistent practice, real-world projects, and possibly certification courses to build a strong foundation for the role.

What does a Data Analytics Business Analyst do?

A Data Analytics Business Analyst is responsible for interpreting data and turning it into actionable insights that help organizations make informed business decisions. They collect, process, and analyze large datasets, often using statistical tools and data visualization techniques. These analysts work closely with stakeholders to understand business needs and translate them into data-driven recommendations. Their role bridges the gap between IT and business by ensuring that data solutions align with organizational goals.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, the need for human judgment, domain expertise, and interpretation remains essential in data analytics roles.

Can a data analyst do business analyst?

A data analyst can perform some tasks of a business analyst, such as analyzing data to support decision-making, but the roles have different focuses. Business analysts typically require skills in requirements gathering, process modeling, and stakeholder communication, while data analysts focus on data manipulation, visualization, and statistical analysis. Transitioning between the roles may require additional training or experience in business processes and project management.

What is the difference between Data Analytics Business Analyst vs Data Scientist?

AspectData Analytics Business AnalystData Scientist
Required SkillsData analysis, reporting, business understanding, SQL, ExcelAdvanced statistical analysis, machine learning, programming (Python/R)
Work EnvironmentBusiness teams, analytics departments, reporting toolsData modeling, algorithm development, research teams
CertificationsCBAP, CAP, Microsoft Data AnalystCertified Data Scientist, SAS, Python certifications
Industry UsageBusiness intelligence, finance, marketingResearch, AI development, predictive modeling

While both roles involve working with data, Data Analytics Business Analysts focus on interpreting data to inform business decisions using tools like SQL and Excel. Data Scientists develop complex models and algorithms, often requiring advanced programming and statistical skills. The roles overlap in data handling but differ in depth of technical expertise and application scope.

How does a Data Analytics Business Analyst typically collaborate with cross-functional teams to deliver insights?

A Data Analytics Business Analyst regularly works alongside stakeholders from departments such as IT, marketing, finance, and operations. They gather requirements, translate business needs into data queries or dashboard requests, and present actionable insights in a clear, business-friendly manner. Effective communication and strong interpersonal skills are essential, as the analyst often facilitates meetings, clarifies data-driven recommendations, and ensures alignment between technical teams and business objectives. This collaborative environment helps ensure that analytics projects are both feasible and impactful.

What are the key skills and qualifications needed to thrive as a Data Analytics Business Analyst, and why are they important?

To thrive as a Data Analytics Business Analyst, you need strong analytical skills, business acumen, and a solid grasp of statistics, usually supported by a degree in business, statistics, or a related field. Proficiency with data analytics tools such as SQL, Tableau, Power BI, and familiarity with programming languages like Python or R, as well as certifications like CBDA or CAP, are commonly required. Excellent communication, critical thinking, and stakeholder management skills help translate complex data insights into actionable business strategies. These competencies are crucial for bridging the gap between data and decision-making, ensuring organizations can leverage analytics for improved performance.

Is 40 too late for data science?

For a Data Analytics Business Analyst, transitioning into data science at age 40 is feasible, especially with relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications and practical experience, demonstrating that age is not a strict barrier in the field.
What cities near Rincon, GA are hiring for Data Analytics Business Analyst jobs? Cities near Rincon, GA with the most Data Analytics Business Analyst job openings:
Data Analytics Business Analyst jobs near you
Business Analyst

Business Analyst

Georgia Eye Institute of the Southeast, LLC

Savannah, GA

Other

Posted 11 days ago

Georgia Eye Institute rating

4.8

Company rating: 4.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Business Analyst

The Business Analyst supports the operational, financial, and strategic initiatives of the physician practice by transforming data into actionable insights. This role partners with clinical, operational, and revenue cycle leaders to analyze performance, identify opportunities for improvement, and support data-driven decision-making. A key responsibility is the creation, maintenance, and optimization of dashboards and reporting tools to monitor key performance indicators (KPIs) across the organization. This position also supports special projects and organizational initiatives through coordination, tracking, communication, and reporting.

Responsibilities:

Data Analysis & Reporting

  • Collect, analyze, and interpret data from EMR systems, practice management systems, and other data sources.
  • Identify trends, variances, and opportunities related to patient flow, provider productivity, revenue cycle, and operational efficiency.
  • Develop routine and ad hoc reports to support leadership decision-making.
  • Ensure data accuracy, integrity, and consistency across reporting platforms and HIPAA compliance.

Dashboard Development & Management

  • Design, build, and maintain interactive dashboards for clinical, operational, and financial performance.
  • Establish standardized KPI dashboards for departments (e.g., patient access, clinical, optical, revenue cycle).
  • Continuously update dashboards with current data and refine based on leadership feedback.
  • Automate reporting processes where possible to improve efficiency and reduce manual work.
  • Partner with leadership to define meaningful metrics and visualizations that align with organizational goals.
  • Monitor dashboard performance and troubleshoot data or system issues.

Operational & Financial Support

  • Support budgeting, forecasting, and financial performance analysis.
  • Analyze key metrics such as patient volumes, payer mix, reimbursement trends, and provider productivity.
  • Assist in identifying cost-saving opportunities and operational improvements.
  • Support service line analysis (e.g., retina, cataract, LASIK, optical).

EMR & Systems Support

  • Serve as a liaison between operations and IT for reporting needs within EMR and practice management systems.
  • Assist in EMR optimization, data extraction, and reporting capabilities.
  • Participate in system upgrades, implementations, and workflow improvements.
  • Support compliance reporting (e.g., MIPS, regulatory requirements).

Project & Process Improvement

  • Participate in cross-functional projects focused on operational improvement and growth initiatives.
  • Map workflows and identify inefficiencies, recommending data-driven solutions.
  • Track project metrics and provide reporting updates to leadership.

Special Project Coordination

  • Coordinate and support special projects and strategic initiatives across the organization.
  • Assist leadership with project planning, timelines, meeting coordination, and follow-up tracking.
  • Develop project status reports, dashboards, and presentations for leadership review.
  • Monitor project milestones, deliverables, and accountability measures.
  • Collaborate with department leaders to gather information and ensure project progress remains on schedule.

Requirements

Experience:

  • 1-2 years of experience working in ophthalmology or specialty physician practice (preferred)
  • Experience working with EMR/practice management systems (e.g., NextGen Healthcare) (preferred)

Education and Qualifications:

  • High school diploma or equivalent (required)
  • Bachelor's degree in Business, Healthcare Administration, Finance, Data Analytics, or related field (preferred)
  • Strong proficiency in data visualization tools (e.g., Power BI, Tableau, Excel dashboards)
  • Advanced Excel skills (pivot tables, formulas, data modeling)
  • Familiarity with CMS quality programs (e.g., MIPS)
  • Familiarity with SQL, data warehousing, or automation tools
  • Knowledge of healthcare KPIs, revenue cycle metrics, and payer dynamics
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent communication skills with both clinical and non-clinical stakeholders

Apply