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Entry Level Finance Python Jobs in Smyrna, SC (NOW HIRING)

NET, Java or Python 2. Foundational knowledge of business concepts and terms 3. Effective verbal ... an entry level software engineer position Preferred Qualifications: Knowledge of specific ...

Entry Level Finance Python information

See Smyrna, SC salary details

$11

$49

$73

How much do entry level finance python jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for entry level finance python in Smyrna, SC is $49.76, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $56.54 per hour, depending on experience, location, and employer.

What finance jobs require Python?

Finance jobs that require Python include roles such as quantitative analyst, financial analyst, risk analyst, and data scientist. These positions often involve data analysis, modeling, and automation, with proficiency in Python and related libraries like pandas and NumPy being essential. Knowledge of financial concepts and programming skills are important for these roles.

What is the difference between Entry Level Finance Python vs Entry Level Data Analyst?

AspectEntry Level Finance PythonEntry Level Data Analyst
Required SkillsPython, finance concepts, basic data analysisExcel, SQL, data visualization, basic statistics
CertificationsFinance or Python certifications helpfulData analysis or visualization certifications
Work EnvironmentFinancial institutions, fintech companiesCorporate, consulting, or tech firms
Industry UsageFinancial modeling, risk analysis, algorithmic tradingBusiness insights, reporting, data management

Entry Level Finance Python roles focus on applying Python skills within finance settings, emphasizing financial analysis and modeling. Entry Level Data Analyst positions involve broader data handling, visualization, and reporting tasks across various industries. While both roles require analytical skills, Finance Python roles are more specialized in finance-specific tools and concepts, whereas Data Analysts have a wider scope in data management and interpretation.

What is an entry level finance Python job?

Entry Level Finance Python jobs are positions for recent graduates or career starters in the finance industry that require knowledge of the Python programming language. These roles often involve tasks such as data analysis, financial modeling, automation of reporting, and developing tools to support trading or risk management. Employers seek candidates with a background in finance, economics, or a related field, as well as proficiency in Python and an understanding of financial concepts. These jobs provide a foundation for more advanced careers in quantitative finance, data science, or financial engineering.

What are the key skills and qualifications needed to thrive as an entry level finance Python professional, and why are they important?

To excel as an Entry Level Finance Python professional, you need a solid grounding in finance principles, data analysis, and proficiency in Python programming, often supported by a relevant degree in finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and libraries like pandas or NumPy is typically required. Strong analytical thinking, problem-solving, and attention to detail are crucial soft skills in this role. These competencies enable accurate data-driven decision making and efficient automation of financial processes, both critical for success in the fast-paced finance industry.

What types of projects or tasks are typically assigned to entry level finance professionals with Python skills?

Entry-level finance professionals who know Python are often tasked with automating repetitive processes, cleaning and analyzing large datasets, and building simple financial models or dashboards. They may also support senior analysts by developing scripts to streamline data collection or reporting tasks. Collaboration with other team members, such as data analysts and financial managers, is common to ensure that insights derived from Python-driven analyses align with business goals. This hands-on experience not only builds technical skills but also offers exposure to the finance industry's data-driven decision-making processes.

Is Python useful for finance?

Python is highly useful for entry-level finance roles, as it is widely used for data analysis, financial modeling, and automation of tasks. Skills in Python, along with knowledge of libraries like pandas and NumPy, can improve efficiency and support decision-making in finance jobs.
Infographic showing various Entry Level Finance Python job openings in Smyrna, SC as of July 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $103,497 per year, or $49.8 per hour.

Data Analyst, Financial Planning Analytics & Reporting

LPL Financial

Fort Mill, SC • Remote

$32.58 - $54.27/hr

Full-time

Medical, Retirement, PTO

Posted 22 days ago


LPL Financial rating

7.5

Company rating: 7.5 out of 10

Based on 70 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.comemail 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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