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Remote Python Data Analysis Jobs in Charleston, SC

Welo Data

Online Data Analyst - Remote

Charleston, SC · Remote

$14.50/hr

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

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Varsity Tutors

Data Science Tutor

Mount Pleasant, SC · Remote

$40/hr

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 ...

Varsity Tutors

Data Science Tutor

Charleston, SC · Remote

$40/hr

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 ...

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All JobsPython Data Analysis JobsRemote Python Data Analysis JobsRemote Python Data Analysis Jobs in Charleston, SC

Remote Python Data Analysis information

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$12

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How much do remote python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote python data analysis in Charleston, SC is $54.86, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $62.31 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Python Data Analysis jobs in Charleston, SC? The most popular types of Python Data Analysis jobs in Charleston, SC are:
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What cities near Charleston, SC are hiring for Remote Python Data Analysis jobs? Cities near Charleston, SC with the most Remote Python Data Analysis job openings:
Remote Python Data Analysis jobs near you
Infographic showing various Remote Python Data Analysis job openings in Charleston, SC as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $114,107 per year, or $54.9 per hour.

eCommerce Data Analyst - REMOTE

Truvani

Charleston, SC • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

WHO WE ARE & WHAT WE DO


Truvani is a health and wellness brand that has one clear mission: create products people use in their daily lives with CLEAN, simple ingredients.


Many companies claim it. We actually mean it.


As a leading provider of high-quality supplements, protein powders, and snack bars, we are committed to transparency, purity, and sustainability. Our mission is to provide products you can trust, with ingredients you can pronounce, and to inspire healthier living for all.


If you're a talented, ambitious person who wants to create the best health and wellness products, apply to join our team!


ABOUT THE POSITION

As Truvani's Junior eCommerce Data Analyst, you will leverage analytics platforms and backend eCommerce data to conduct ongoing analysis, draw insights, and report findings to help drive digital business growth. You are a strategic thinker with strong analytical skills and an ability to translate findings into actionable recommendations. This requires someone with extensive experience in online, consumer-facing properties with a deep understanding of analytics, SQL, and Excel.

YOUR RESPONSIBILITIES INCLUDE:

  • Be in charge of manually updating reports for overall Direct to Consumer results, as well as reports for new customer acquisition, internal promotions, re-purchase rate, and lifetime value.
  • Report to the VP of e-Commerce, giving opportunities of website and advertising improvement.
  • Monitor, analyze, and report on customer satisfaction and related consumer driven metrics.
  • Work with internal teams to advance key reporting tools and deploy relevant analytics reporting dashboards, highlighting key insights and areas of importance in accordance with business goals.

HOW YOU WILL DO IT:

  • Updating google sheets with metrics on a daily, weekly, and monthly basis from exported Excel sheets, as well as Advertising Platforms, Analytics Platforms, and backend Shopify.
  • Meet with the VP of e-Commerce on a weekly basis
  • Manage our Analytics Pipeline
  • Build custom dashboards using our Analytics Tech Stack

WHAT SUCCESS LOOKS LIKE:

  • All reports updated on a daily, weekly, and monthly basis.
  • Align customer focused insights to business needs aimed at increasing Truvani's primary and secondary KPIs
  • Continuously adapt, learn, identify growth opportunities, and reposition teams and capabilities to better serve our customers and create measurable business value
  • Over time, automating reports and focusing more on actionable insight.


QUALIFICATIONS:

  • Years of Related Professional Experience: 2-5+ years
  • A formal education and subsequent undergraduate/graduate degrees are nice to have, but we are most interested in your total experience and professional achievements.
  • Experience working with Shopify, Amazon, and SPINS Data
  • Experience working with Airbyte, PosgreSQL, and Metabase
  • Years of Excel and SQL experience
  • Have an understanding of effective report/dashboard design and standards
  • Be able to translate data analysis into business recommendations

WHAT WE WILL TEACH YOU:

  • Gain experience defining and managing multi touchpoint consumer journeys across eCom, digital, and physical marketing channels
  • Provide access to the latest analytics capabilities, tools, and resources

THE NITTY GRITTY

  • Full time market-based compensation based on experience
  • Fully remote with flexibility and autonomy
  • Collaborative and innovative team culture
  • Health (medical, dental, vision) benefits and 401k benefits offered after 60 days
  • Paid time off and paid holidays
  • Paid parental leave
  • Remote Work and Education Stipend
  • Truvani Monthly Store Credit
  • Position is available immediately and will remain open until filled
  • This is a permanent position with an opportunity to grow within the company (so we would like to hire someone that is awesome and is excited about being a part of our team).

Apply