ZipRecruiter

Log In

2

Remote Data Analyst Jobs in Lancaster, SC (NOW HIRING)

1 point system

Data Engineer

Rock Hill, SC · Remote

$117K - $140K/yr

Requirement - Data Engineer Location- USA Remote Contract W2 Assessment test required Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J) ** Healthcare experience

1 point system

AI Pricing Analyst

Rock Hill, SC · Remote

Requirement - AI Pricing Analyst Location- USA Remote Contract W2 Top Must Haves: * Strong ... Strong Excel and data analysis skills * Experience working with cross functional teams including ...

EnthuZiastic

Growth Hacker - Remote

Rock Hill, SC · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Lantern

Strategy Analyst

Rock Hill, SC · Remote

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Workiva

Spring 2027 Intern - Sales Analyst

Rock Hill, SC · On-site +1

$21/hr

You will assist with sales data analysis, contract renewal engagement, revenue retention support ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

1 point system

QA Engineer (Data)

Fort Mill, SC · Remote

$30/hr

Requirement - QA Engineer (Data) Location- 100% Remote Contract W2 Rate- $30/hr on W2 we are ... Excellent analytical skills with ability to troubleshoot problems and find root causes. * It would ...

Mondo

Sr. Servicenow Engineer

Charlotte, NC · Remote

$50 - $53/hr

Remote Start Date: ASAP Duration: Contract-to-Hire, 6-12 months Compensation Range: $50-53/hr W2 ... Background in a complementary technical discipline, such as data engineering, business analysis, or ...

ENFRA LLC

Energy Engineer PE I

Charlotte, NC · On-site +1

$103K - $132K/yr

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Collect and evaluate energy, weather ...

ENFRA LLC

Energy Engineer PE I

Charlotte, NC · On-site +1

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Collect and evaluate energy, weather ...

ENFRA LLC

Energy Engineer PE I

Charlotte, NC · On-site +1

... data analysis, and utility cost analysis. * Create, maintain, and distribute M&V dashboards and reports through multiple software platforms. * Remote Monitoring * Collect and evaluate energy, weather ...

BAE Systems

Business Sys Anst Sr

Charlotte, NC · On-site +1

Remote work is considered. We are expanding our DEX-Ops (Digital Employee Experience Operations ... data across systems • Improve visibility into employee experience trends through analytics and ...

next page

Showing results 1-20

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Lancaster, SC

Remote Data Analyst information

See Lancaster, SC salary details

$29K

$70.5K

$116K

How much do remote data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data analyst in Lancaster, SC is $70,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $82,700.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Lancaster, SC?

The most popular types of Data Analyst jobs in Lancaster, SC are:

What job categories do people searching Remote Data Analyst jobs in Lancaster, SC look for?

The top searched job categories for Remote Data Analyst jobs in Lancaster, SC are:

What cities near Lancaster, SC are hiring for Remote Data Analyst jobs?

Cities near Lancaster, SC with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Lancaster, SC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $70,481 per year, or $33.9 per hour.

Data Engineer

1 point system

Rock Hill, SC • Remote

$117K - $140K/yr

Contractor

Re-posted 14 days ago

Job description

Requirement - Data Engineer

Location- USA Remote

Contract W2

Assessment test required

Assessment required - PL/SQL, Data Analysis, NoSQL (MongoDB, Cassandra, Nejo4J)

** Healthcare experience

** Medical & Pharmacy Claims experience

Responsibilities:

Create, maintain and execute complex SQL queries for data management and data validation.

Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows.

Monitor data workflows and ensure data quality, consistency, and reliability.

Design and implement scalable and secure data architectures to support new and existing applications.

Perform production solutions and services configurations as needed.

Serve as a change agent to identify organizational improvements and make recommendations to improve business processes.

Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.

Create and maintain SOP documents.

Participate in code reviews, sprint planning, and architectural discussions.

Mentor junior engineers and promote best practices in data engineering.

Participate in meetings with clients and/or stakeholders.

Completes work as assigned.

Provide after-hours or weekend support as needed.

Demonstrate an ability to work independently.

Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.

Complete task assignments using department ticketing/productivity systems within assigned deadline.

Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.

Qualifications:

Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.

8+ years of experience in data engineering or a related role.

8+ years of data analysis. Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.

8+ years hands-on work in SQL and/or PL/SQL.

Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high‑volume, low‑latency workloads.

Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred.

Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.

Flexible work schedule.

Experience with project management tools like JIRA.

Strong understanding of agile development practices, preferably SAFe.

Strong analytical skills.

Excellent verbal, listening and written communication skills.