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Data Analytics Manager Jobs in Easley, SC (NOW HIRING)

The Oncology Data Specialist is detail oriented, committed to high-quality data abstraction, meets ... Attend educational meetings as required by the ACoS as deemed appropriate by the CDS Manager.

Data Scientist III - FCRM

Greenville, SC ยท On-site

$96K - $155K/yr

The US FCRM Data Analytics team supports financial crime risk management through ad hoc analytics, internal audit and regulatory data requests, BAU reporting, machine learning, and advanced ...

Analytics, Insights, & Artificial Intelligence Attention: This role is not eligible for TD work ... Depth & Scope: * Works autonomously within a specialized business management function and may ...

Data & Analytics The Senior Business Information Management Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas ...

Quality Data Analytics & Management Reporting: Lead statistical analysis initiatives, collect and interpret quality-related data, generate quality reports/dashboards, and present insights to senior ...

... manages end-to-end functional programs * Solves or may lead others to solve complex problems; leads efforts or partners with others to develop new solutions * Uses sophisticated analytical thought to ...

Data Scientist

Greenville, SC ยท On-site

$45 - $50/hr

Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. * Provide data pipeline and data to build executive dashboards that ...

Data Scientist

Greenville, SC ยท On-site

$45.96 - $50.96/hr

Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. Provide data pipeline and data to build executive dashboards that ...

This role requires heavy interaction with Key business leaders and managers to understand the daily ... The focus of this individual is Data Analysis and Enterprise Reporting, and is expected to ...

Showing results 21-40

Data Analytics Manager information

See Easley, SC salary details

$29.1K

$91.2K

$161.4K

How much do data analytics manager jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analytics manager in Easley, SC is $91,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $117,800.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

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

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

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

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

Infographic showing various Data Analytics Manager job openings in Easley, SC as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $91,157 per year, or $43.8 per hour.

Fraud Data & Technology Analyst

United Community Bank

Greenville, SC โ€ข On-site

$56K - $74K/yr

Full-time

Posted 23 days ago


Job description

Overview
The Fraud Data & Technology Analyst drives data-informed decision-making through analytics, reporting, technology support, and rule optimization. This role delivers actionable insights, evaluates fraud trends and program performance, and supports initiatives that strengthen detection, prevention, and mitigation capabilities. Working closely with the Fraud Data & Technology Lead and cross-functional partners, the analyst helps optimize fraud technologies, enhance controls, improve operational effectiveness, and strengthen customer protection.
This position is available in Greenville, SC and Blairsville, GA.
What You'll Do
  • Reporting & Analytics
    • Build, automate, and maintain fraud KPIs, dashboards, and reports to measure program performance, loss drivers, mitigation outcomes, and emerging fraud trends.
    • Analyze fraud data and translate complex findings into actionable insights, recommendations, and strategic reporting for leadership, operations, and frontline teams.
    • Conduct performance assessments, cost-benefit analyses, business case development, and industry research to support fraud strategy, risk identification, and continuous improvement initiatives.
  • Fraud Technology Support
    • Support the administration, maintenance, optimization, and performance of fraud-related applications, platforms, tools, and system enhancements.
    • Coordinate and participate in testing, validation, implementation, troubleshooting, issue resolution, and performance monitoring to ensure technology effectiveness and operational reliability.
    • Partner with internal technology teams, business stakeholders, and vendors to support fraud technology initiatives while documenting business processes, system functionality, and operational workflows for governance and knowledge sharing.
  • Rules & Model Management
    • Tune, calibrate, and optimize fraud detection rules, models, and decisioning strategies to improve detection effectiveness while balancing operational efficiency and customer experience.
    • Analyze rule and model performance through testing, alert reviews, and performance metrics, recommending enhancements to fraud monitoring strategies and detection controls.
  • Data Management
  • Ensure the accuracy, integrity, reliability, and quality of data used in fraud reporting, analysis, and decision-making.
  • Support data governance initiatives through documentation, maintenance of data dictionaries and reporting methodologies, quality validation, issue identification, and adherence to reporting standards.
  • Cross-Functional Partnership
    • Collaborate with stakeholders to identify opportunities for process improvements, automation, and enhanced fraud controls.
    • Partner with Fraud Operations, Risk, Compliance, IT, and business teams to support fraud mitigation efforts.
    • Provide analytical support and subject matter expertise for fraud-related initiatives.

Requirements For Success
  • Bachelor's degree or higher preferred
  • 3+ years of experience in fraud analytics, fraud technology or operations, risk management, or a related field.
  • Required Skills:
    • Hands-on experience with fraud and/or banking platforms.
    • Experience with data visualization and reporting tools (e.g., Tableau, Power BI, etc.).
    • Experience querying and analyzing large datasets using SQL or similar data analysis tools.
    • Knowledge of fraud typologies across payments, digital identity, account takeover, and application fraud.
    • Strong analytical, problem-solving, and communication skills.
    • Demonstrated ability to collaborate effectively with cross-functional teams.
  • Preferred Skills:
    • Experience with machine learning concepts or partnering with data science teams.
    • Experience creating or maintaining process maps for technical or operational processes
    • Familiarity with APIs, system integrations, or cloud-based data environments.
    • Ability to present complex data insights in a clear and concise manner to both technical and non-technical audiences.

Conditions of Employment
  • Must be able to pass a criminal background & credit check
  • This is a full-time, non-remote position that requires schedule flexibility to work evenings and weekends as needed.
  • Up to 10% of travel may be required.

FLSA Status: Exempt
Ready to take your career to the next level? Apply now and become a vital part of our team!
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state, or local protected class.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Pay Range
USD $56,000.00 - USD $74,000.00 /Yr.