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Entry Level Data Science Jobs in Lancaster, SC (NOW HIRING)

Pike Corporation

GIS Technician I-GISTI

Fort Mill, SC · On-site

This is an entry level technical support position, working with Designers, Engineers, GIS ... Preferred A Bachelor's degree from a four-year college or University in GIS, Geospatial Science ...

UGS

GIS Technician I-GISTI

Fort Mill, SC

This is an entry level technical support position, working with Designers, Engineers, GIS ... Preferred A Bachelor's degree from a four-year college or University in GIS, Geospatial Science ...

Pike Corporation

GIS Technician I-GISTI

Fort Mill, SC · On-site

This is an entry level technical support position, working with Designers, Engineers, GIS ... Preferred A Bachelor's degree from a four-year college or University in GIS, Geospatial Science ...

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Lancaster, SC

Entry Level Data Science information

See Lancaster, SC salary details

$9

$16

$22

How much do entry level data science jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for entry level data science in Lancaster, SC is $16.25, according to ZipRecruiter salary data. Most workers in this role earn between $13.75 and $18.27 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
What are popular job titles related to Entry Level Data Science jobs in Lancaster, SC? For Entry Level Data Science jobs in Lancaster, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Lancaster, SC look for? The top searched job categories for Entry Level Data Science jobs in Lancaster, SC are:
What cities near Lancaster, SC are hiring for Entry Level Data Science jobs? Cities near Lancaster, SC with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Lancaster, SC as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $33,798 per year, or $16.2 per hour.

Data Analyst, Financial Planning Analytics & Reporting

LPL Financial Holdings, Inc.

Fort Mill, SC • On-site

$32.58 - $54.27/hr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

LPL Financial rating

7.5

Company rating: 7.5 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

116th of 150 rated financial services

Job description

Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
We are seeking an analytical, detail-oriented, and highly motivated Data Analyst to join our Financial Planning organization within a leading financial services firm. This entry-level role will be responsible for building, maintaining, and enhancing business metrics, dashboards, and reporting that enable leaders to effectively manage performance, report results to senior leaders, and inform strategic business decisions.
Responsibilities:
  • Develop and maintain dashboards and reports that track key business performance metrics.
  • Analyze data to identify trends, opportunities, risks, and drivers of business results.
  • Support the creation and monitoring of KPIs used to manage team performance and business outcomes.
  • Prepare reporting and insights for leadership reviews, business updates, and strategic planning discussions.
  • Ensure the accuracy, consistency, and integrity of data used in reporting and analytics.
  • Partner with business stakeholders to understand reporting needs.
  • Respond to ad hoc data requests and perform analyses to support decision-making.
  • Identify opportunities to improve, automate, and streamline reporting processes.
  • Document reporting methodologies, metric definitions, and data sources.
  • Contribute to a data-driven culture by delivering insights that help inform business strategy and growth initiatives.

What does success look like?
Within the first 12 months, the Data Analyst will:
  • Deliver accurate and timely reporting that becomes a trusted resource for business leaders.
  • Develop dashboards and KPI frameworks that improve performance visibility.
  • Provide actionable insights that influence operational and strategic decisions.
  • Identify opportunities to streamline reporting processes and improve efficiency.
  • Become a valued partner to Financial Planning leadership through data-driven recommendations.

What are we looking for?
We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements:
  • Education: Bachelor's degree in Business Analytics, Finance, Economics, Statistics, Mathematics, Data Science, Information Systems, or related field.
  • Experience: 1-3 years of experience in data analytics and reporting role
  • Technical Skills: Proficiency in Microsoft Excel - including formulas, lookups, pivot tables, and data analysis techniques.

Core Competencies:
  • Analytical Thinking: Uses data and critical thinking to identify trends, solve problems, and develop actionable recommendations.
  • Business Acumen: Understands how performance metrics connect to business objectives, operational efficiency, and growth.
  • Data Storytelling: Communicates insights effectively through reports, dashboards, presentations, and visualizations.
  • Attention to Detail: Ensures accuracy, consistency, and reliability in data analysis and reporting.
  • Collaboration: Builds strong relationships and works effectively across teams and functions.
  • Continuous Learning: Actively seeks opportunities to improve skills, expand knowledge, and adopt new technologies.
  • Accountability: Takes ownership of deliverables and consistently produces high-quality work.
  • Adaptability: Thrives in a fast-paced environment and effectively manages changing priorities.

Preferences:
  • Familiarity with data analysis tools such as Python, R, or similar platforms is a plus.
  • Basic knowledge of SQL and relational databases preferred.
  • Experience using Smartsheet to manage data, create reports, track projects, and support business processes is a plus.
  • Experience with business intelligence and data visualization tools such as Power BI and Tableau preferred.

Pay Range:
$32.58-$54.27/hour
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26

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