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

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

$106.30K - $127.70K/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 ...

Translate marketing and business challenges into analytical use cases, assess feasibility, and ... Proficient in Python (preferred) and/or R Preferred: * Financial sector experience. * Preference in ...

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 ...

Strong analytical and problem-solving skills with the ability to interpret complex data ... Experience with programming or scripting languages such as SQL, Python, or VBA. * Familiarity with ...

Data Quality Engineer, AI Business

North, SC

$106.30K - $127.70K/yr

... analytics engineering, trust and integrity, or ML/LLM evaluation operations. * Strong proficiency in Python and SQL, with comfort applying statistical concepts such as sampling strategies, confidence ...

... data validation processes; * Ability to analyze large datasets and identify discrepancies; * Strong analytical, organizational, and documentation skills; * Exposure to tools such as SQL, Python ...

Data Engineer I

Columbia, SC

$105.90K - $127.20K/yr

Data Engineering: Experience with at least one relevant ETL toolset (IICS, Python, SnowSQL, etc ... analytics solutions they plan to apply. Use this understanding to create appropriate data ...

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Python Data Analyst information

See Columbia, SC salary details

$31.5K

$76.5K

$125.8K

How much do python data analyst jobs pay per year?

As of May 31, 2026, the average yearly pay for python data analyst in Columbia, SC is $76,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $89,700.00 per year, depending on experience, location, and employer.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python Data Analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What are the most commonly searched types of Python Data Analyst jobs in Columbia, SC? The most popular types of Python Data Analyst jobs in Columbia, SC are:
Infographic showing various Python Data Analyst job openings in Columbia, SC as of May 2026, with employment types broken down into 3% Internship, 5% As Needed, 71% Full Time, 11% Part Time, 5% Temporary, and 5% Contract. Highlights an 58% Physical, 24% Hybrid, and 18% Remote job distribution, with an average salary of $76,453 per year, or $36.8 per hour.
Data Consultant - Junior (New)

Data Consultant - Junior (New)

Artefact

North, SC

Other

Posted 9 days ago


Job description

About the job

Do you think like a management consultant, thrive in a fast-moving environment, and find yourself endlessly curious about the intersection of data, technology, and AI? Are you ready to do work that actually matters - at a company that's redefining what consulting looks like in the age of AI?

With over 1,700 employees, offices on five continents, and world-class clients like Samsung, L'Oreal, and LVMH, Artefact is a next-generation consulting firm that turns data into measurable business impact.

Who We Are

Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we're also growing in parallel.

We have 1700 employees across 34 offices who are focused on accelerating digital transformation. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client. We design data-based solutions to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 1000+ client base around the globe.

Find out more at artefact.com.

What you will be doing 

What You'll Be Doing

As a Junior Data Consultant, you'll sit at the intersection of business strategy and data - helping clients make smarter decisions, faster. You'll work directly with clients to understand their challenges, dig into their data, uncover insights that change how they operate, and communicate those findings in ways that drive action.

This is not a back-office analytics role. You'll be client-facing, intellectually challenged, and given real responsibility from day one. Our best junior consultants don't stay junior for long.

Day-to-day responsibilities include:

  • Collecting, cleaning, and organizing data from diverse sources - databases, spreadsheets, APIs, and web-based tools
  • Preparing and structuring data for analysis, including quality checks, error correction, and formatting for statistical software
  • 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 technical and non-technical audiences
  • Partnering with clients to deeply understand their business objectives and co-developing data-driven strategies to meet them
  • Staying sharp: actively investing in your own professional development as the data and AI landscape evolves rapidly

What we are looking for

We want builders, thinkers, and fast learners - people who are energized by ambiguity, motivated by impact, and who can hold their own in a room with a senior client. You're the kind of person who asks "why?" before jumping to "how," and you never stop at "good enough."

As part of a growing Regional team, you'll play a meaningful role in shaping our presence here. That means we need someone who's intellectually curious, independently driven, genuinely collaborative, and hungry to grow.

    • An undergraduate degree with strong academic performance
    • 1-2 years of full-time experience in consulting, data/analytics, marketing, finance, or tech
    • Outstanding verbal and written communication skills - you can represent Artefact confidently in front of clients
    • Proven ability to collaborate across diverse, multicultural teams; strong intercultural communication skills are essential
    • Advanced proficiency in Excel and PowerPoint
    • A genuine passion for data, digital, and the broader tech economy
    • A natural desire to teach and develop others; you lift the people around you
    • Exposure to strategy consulting and/or digital marketing is a strong asset, but not a dealbreaker
  •  

Why Join Artefact?

We're not just a workplace - we're a community of people who believe that data, applied well, can change how businesses operate and how the world works. We move fast, we challenge each other, and we celebrate people who make things happen.

Our values aren't decorations on a wall - they're how we actually work:

  • There is always a way - We're builders and problem-solvers. An idea only counts if it gets executed.
  • Client trust is won in the field - We show up, sleeves rolled up, working side by side with our clients.
  • If it's not used, it's useless - We build for adoption and impact, not for slide decks.
  • If it's not shared, we're not done - Knowledge shared compounds. We invest in each other's growth.
  • We learn every day - In a field that moves this fast, standing still means falling behind. We embrace the challenge.

Compensation & Benefits

The estimated base compensation for this role is $85,000 - $95,000. Individual compensation is determined by skills, qualifications, and experience. In addition, this role is eligible for competitive benefits.