1

Data Analytics Jobs in Clemson, SC (NOW HIRING)

They do this by leveraging multiple internal and external data sources, including both quantitative and qualitative data, and applying a broad range of skills such as visual analytics, estimation and ...

They do this by leveraging multiple internal and external data sources, including both quantitative and qualitative data, and applying a broad range of skills such as visual analytics, estimation and ...

Data Science Tutor

Greenville, 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 ...

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ...

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ...

Through advanced analytics and technology, we can more accurately predict credit risk and provide ... As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ...

This role focuses on data analysis, supplier coordination, category alignment, process compliance, and KPI reporting to ensure accuracy, efficiency, and timely execution across procurement operations.

Showing results 21-40

Data Analytics information

See Clemson, SC salary details

$20

$46

$80

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Clemson, SC is $46.39, according to ZipRecruiter salary data. Most workers in this role earn between $37.26 and $52.55 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 the most commonly searched types of Data Analytics jobs in Clemson, SC? The most popular types of Data Analytics jobs in Clemson, SC are:
What job categories do people searching Data Analytics jobs in Clemson, SC look for? The top searched job categories for Data Analytics jobs in Clemson, SC are:
What cities near Clemson, SC are hiring for Data Analytics jobs? Cities near Clemson, SC with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Clemson, SC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,484 per year, or $46.4 per hour.

Data Scientist - Financial Crime Customer Risk (AML/KYC)

Td

Greenville, SC โ€ข On-site

$96K - $155K/yr

Full-time

Posted 3 days ago

New


Job description

Work Location:

New York, New York, United States of America

Hours:

40

Pay Details:

$96,130 - $155,950 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Analytics, Insights, & Artificial Intelligence

Job Description:

This role is not eligible for TD work visa support or sponsorship (e.g., H-1B, F-1 OPT/STEM OPT, TN orother work visa authorizations). Applicants must have authorization to work in the United States without current or future need for TD sponsorship

TD's Financial Crime Risk Management (FCRM) organization protects the Bank, its customer and the broader financial system from money laundering, terrorist financing, sanctions evasion, and related criminal activity. Within FCRM, the Know Your Customer (KYC) program ensures the Bank maintains a current, accurate understanding of its customers and the risk they present. The US KYC Customer Risk Rating (CRR) team is the analytical core of that program: we design, enhance, and operate the model and data pipelines that assign each customer a risk rating - the rating that drives due-diligence intensity, review cadence, and downstream compliance activity across the enterprise. The team combines data science, data engineering, and regulatory acumen, working primarily in Oracle SQL, Python, and Azure/Databricks, and partners closely with model risk, compliance testing, and technology stakeholders.

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Depth & Scope:

  • Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
  • Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
  • Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
  • Position typically deals with senior/executive management
  • Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
  • Focuses on longer-range planning for functional area (e.g. 12 months or greater)
  • May manage and prioritize multiple projects at a given time

Education & Experience:

  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
  • 5+ year of relevant experience; higher degree education and research tenure can be counted

Preferred Skills:

  • Experience in AML/BSA, KYC, sanctions, or broader financial crime compliance; familiarity with customer risk rating methodologies
  • Advanced SQL in Oracle or comparable enterprise RDBMS, including performance tuning of large production queries
  • Hands-on experience with Azure, Databricks, and Spark-based analytics at scale
  • Delivering analytics to non-technical stakeholders
  • Experience operating in a model-governed environment - model change documentation, impact analysis, and supporting validation
  • Experience supporting regulatory exams or internal audit requests

Customer Accountabilities:

  • Works closely with business owners to identify opportunities and serves as an ambassador for data science
  • Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
  • Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
  • Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
  • Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business

Shareholder Accountabilities:

  • Analytical thought leadership and stays current on developments in data mining and the application of data science
  • Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
  • Educates the organization on approaches, such as testing hypotheses and statistical validation of result
  • Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment
  • Translates up to date information into continuous improvement activities that enhances performance
  • Adheres to enterprise frameworks or methodologies that relate to activities for business area
  • Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities
  • Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
  • Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist
  • Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
  • Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
  • Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
  • Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite

Employee/Team Accountabilities:

  • Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest
  • Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit
  • Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
  • Participates in personal performance management and development activities, including cross training within own team
  • Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
  • Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
  • Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
  • Contributes to a fair, positive and equitable environment that supports a diverse workforce
  • Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally

Physical Requirements:

Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%

  • Domestic Travel - Occasional
  • International Travel - Never
  • Performing sedentary work - Continuous
  • Performing multiple tasks - Continuous
  • Operating standard office equipment - Continuous
  • Responding quickly to sounds - Occasional
  • Sitting - Continuous
  • Standing - Occasional
  • Walking - Occasional
  • Moving safely in confined spaces - Occasional
  • Lifting/Carrying (under 25 lbs.) - Occasional
  • Lifting/Carrying (over 25 lbs.) - Never
  • Squatting - Occasional
  • Bending - Occasional
  • Kneeling - Never
  • Crawling - Never
  • Climbing - Never
  • Reaching overhead - Never
  • Reaching forward - Occasional
  • Pushing - Never
  • Pulling - Never
  • Twisting - Never
  • Concentrating for long periods of time - Continuous
  • Applying common sense to deal with problems involving standardized situations - Continuous
  • Reading, writing and comprehending instructions - Continuous
  • Adding, subtracting, multiplying and dividing - Continuous

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package


Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.

If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.