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Data Analytics Jobs in Chester, SC (NOW HIRING)

Collabera LLC

Data Analyst

Charlotte, NC · On-site

This person will be in charge of the end to end data analytics and reporting lifecycle for a few different workstreams within the group. * They will take over the current manual reporting work and ...

Collabera LLC

Data Analyst

Charlotte, NC · On-site

$50 - $55/hr

This person will be in charge of the end to end data analytics and reporting lifecycle for a few different workstreams within the group. * They will take over the current manual reporting work and ...

BizTech Staffing

Data Analyst

Charlotte, NC · On-site

Work with data housed in Microsoft Fabric (lakehouse, warehouse, or semantic models) to support scalable analytics * Design, create, enhance, and maintain Power BI semantic models, reports ...

Collabera

Data Analyst

Charlotte, NC · On-site

$50 - $55/hr

This person will be in charge of the end to end data analytics and reporting lifecycle for a few different workstreams within the group. They will take over the current manual reporting work and ...

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All JobsData Analytics JobsData Analytics Jobs in Chester, SC

Data Analytics information

See Chester, SC salary details

$24

$55

$95

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Chester, SC is $55.09, according to ZipRecruiter salary data. Most workers in this role earn between $44.28 and $62.40 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 cities near Chester, SC are hiring for Data Analytics jobs? Cities near Chester, SC with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Chester, SC as of August 2026, with employment types broken down into 6% Internship, 55% Full Time, and 39% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $114,587 per year, or $55.1 per hour.

Data Analyst

Collabera LLC

Charlotte, NC • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Project Details:


Client: Bank


Position Title: Data Analyst/ Business Analyst - Process Automation & Reporting


Location: Charlotte, NC 28202 Hybrid Schedule (2 day remote weekly)


Duration: 6 months contract to start, potential to extend down the road


Typical Hours: 40 hrs/ wk


Pay-range: 45-47/hr



Note: Please only Apply - If you are Local and can go onsite - 3 day.


Must Haves:



  • Xceptor or Alteryx

  • 4 years of building out process improvement/automation solutions

  • Capital Markets/Investment Banking Background

  • Can be: fixed income cash (bonds), OTC Derivatives (interest rate, commodities, equities, fx options), Core FX (swaps forwards), equity cash (stocks, exchange traded, convertible bonds)



Plus:



  • PowerApps

  • STP processing, process simplifications, operational control enhancement

  • AI exposure

  • Strong reporting skill



Day to Day:



  • This Process Automation Engineer will join the Corporate Investment Banking Operations LOB at bank.

  • This person will be in charge of the end to end data analytics and reporting lifecycle for a few different workstreams within the group.

  • They will take over the current manual reporting work and build scalable, automated data frameworks with the help of the technology team.

  • A day in the life looks like pulling data from multiple different systems within CIB Operations, creating custom logic / approximations, and consolidating it to present to senior leadership.

  • As an example, some of these reports could be used for capacity planning, STP/RFT reporting, etc.

  • Since this person will be working with owners of different operational data, it s imperative this person has a background in capital markets. It doesn t have to be an expert, but this person should be able to distinguish bonds vs derivatives, or futures vs options.

  • Data sets can range from 5 rows to 1500 rows depending on the report, so this person should have very senior analytical skill, as well as be able to utilize python to simplify the analytics process.


Project Background - Why/Mission:



  • Te HM is seeking a Process Automation Engineer to join her team within the Corporate Investment Banking Operations LOB at bank.

  • This person will be working within the Intelligent Automation space, building out solutions for automating the CIB operations processes.

  • A lot of the current processes are manual and often require excel extractions.

  • This person will be in charge of building out solutions utilizing XCeptor, and/or PowerApps to automate those different processes.


The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually as applicable.

Apply