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Python Data Analysis Jobs in Columbia, SC (NOW HIRING)

Sr Data Analyst

North, SC

$79K - $100K/yr

... of data analysis and business strategies. We are seeking a candidate who not only possesses ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

... of data analysis and business strategies. We are seeking a candidate who not only possesses ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Advanced proficiency in R and/or Python for data analysis and modeling. Experience with SQL and relational databases. Experience visualizing/presenting data for stakeholders using: Power BI, DAX ...

Performing advanced data analysis and rigorous research to solve high-impact, strategic challenges ... Advanced proficiency in Excel and PowerPoint; experience with SQL, Python, or R is a strong ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

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 ...

Analyzing data using tools such as Excel, SQL, Python, or R to surface trends, patterns, and actionable insights * Translating complex data findings into clear, compelling narratives for both ...

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

Work closely with data architects, analysts, and other stakeholders to understand business ... in SQL, Python, and big data technologies. * Experience with cloud services such as Azure Data ...

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Python Data Analysis information

See Columbia, SC salary details

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How much do python data analysis jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for python data analysis in Columbia, SC is $47.87, according to ZipRecruiter salary data. Most workers in this role earn between $39.47 and $54.38 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in Columbia, SC? The most popular types of Python Data Analysis jobs in Columbia, SC are:
What are popular job titles related to Python Data Analysis jobs in Columbia, SC? For Python Data Analysis jobs in Columbia, SC, the most frequently searched job titles are:
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Other

Posted 13 days ago


Job description

Title: Data Analyst III
Location; Columbia, SC (Onsite 3x per week)
Duration: 12 months
Duties:

  • Day to day:
    • There is a development and recurring or operational focus for the analyst.
    • The development work is consultative, customer-facing, and requires understanding I/S business processes.
    • Work involves facilitating meetings, gathering and documenting requirements, interacting with management and multiple teams to complete work, designing and developing a solution, and presenting outcomes to customers.
    • This work requires a technical focus as well as a business perspective and consultative mindset.
    • The recurring or operational work is recurring, repeatable tasks and includes one-time ad-hoc requests.
    • Recurring reports and data entry are well defined and are as automated as possible.
    • Recurring work is reviewed annually at a minimum to ensure it continues to meet business needs.
    • This work requires knowledge of reporting and data tools and communication with customers.
    • The operations focuses on timeliness, accuracy, consistency, and providing the key customer insights and analysis to help with business needs and decisions
  • Creates and analyzes reports to support operations.
  • Ensures correctness of analysis, and reports findings in a concise manner to senior management.
  • Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided.
  • 30% Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes.
  • Revises existing reports and develops new reports based on changing methodologies.
  • 30% Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics.
  • 20% Communicates and trains employees and managers on the complex database programs used to generate analytical data.
  • 20% Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.

Required Technologies:

  • Strong SQL knowledge
  • PowerBI
  • Microsoft Excel

Preferred Technologies:

  • Tableau
  • Power Automate
  • Python
  • GitHub
  • MS Access

Required Education:

  • Bachelor''s degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Degree Equivalency: 2 year degree in Computer Science, Business or related field and 2 years of reporting and data analysis work experience. OR 4 years reporting and data analysis experience.

Required Work Experience:

  • 4 Years Research and analysis experience.

Preferred Work Experience:

  • 6 Years-Research and analysis experience.

Required Skills and Abilities:

  • Strong organizational, customer service, communications, and analytical skills.
  • Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts.
  • Knowledge of relevant computer support systems.
  • Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs.
  • Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development.
  • Strong understanding of relational database structures, theories, principles, and practices.

Required Software and Other Tools:

  • Advanced knowledge of Microsoft Office.
  • Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases.
  • Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes.

Preferred Skills and Abilities:

  • Computer programming skills
  • Negotiation or persuasion skills.
  • Knowledge of ICD9/CPT4 coding.
  • Knowledge of the healthcare delivery system.

Preferred Software and Other Tools:

  • SAS experience.

Work environment:

  • Typical office environment.
  • Some travel between buildings and out of town.