ZipRecruiter

Log In

1

Weekend Python Data Analyst Jobs in Greenville, SC

Global Lending Services

Business Analyst

Greenville, SC · On-site

Business Analysts apply their data analytics and business acumen to support data-driven business ... Working knowledge of SQL and/or Python preferred * Strong written and verbal communication skills ...

Global Lending Services

Business Analyst

Greenville, SC · On-site

Business Analysts apply their data analytics and business acumen to support data-driven business ... Working knowledge of SQL and/or Python preferred * Strong written and verbal communication skills ...

AFL

Process Engineer - Data Analytics

Duncan, SC · On-site

Python experience preferred (data analysis, automation, or tool development) * Ability to operate effectively in a fast-changing, low-structure environment * Strong problem-solving skills with a ...

next page

Showing results 1-20

All JobsPython Data Analyst JobsWeekend Python Data Analyst JobsWeekend Python Data Analyst Jobs in Greenville, SC

Weekend Python Data Analyst information

See Greenville, SC salary details

$32K

$77.7K

$127.9K

How much do weekend python data analyst jobs pay per year?

As of Jul 14, 2026, the average yearly pay for weekend python data analyst in Greenville, SC is $77,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

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

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Greenville, SC? The most popular types of Python Data Analyst jobs in Greenville, SC are:
Weekend Python Data Analyst jobs near you
Infographic showing various Weekend Python Data Analyst job openings in Greenville, SC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $77,706 per year, or $37.4 per hour.
Sales Data Analyst

Sales Data Analyst

Mobile Communications America Inc

Spartanburg, SC • On-site

Full-time

Posted 29 days ago

Mobile Communications America rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

11th of 82 rated telecommunications companies

Job description

Mobile Communications America, Inc., a leader in wireless communications, data, and security solutions is seeking a data-driven Sales Data Analyst to join the Sales Strategy & Operations team within our Central Division. This position needs to be located within our footprint of Dallas, TX; Indianapolis, IN; Charlotte, NC; or Spartanburg, SC. This role turns sales data into decision-ready insight — building and improving the forecasting, pipeline, and performance analytics that guide how the business sells. The ideal candidate pairs strong quantitative and statistical skills with commercial fluency, and is comfortable working independently to translate complex data into clear, actionable recommendations for sales leadership.

KEY RESPONSIBILITIES:

Forecasting & Predictive Analytics

  • Measure and report forecast accuracy across teams, segments, and time horizons, identifying drivers of variance and recommending methodology improvements.
  • Develop, test, and maintain forecast weighting algorithms that translate pipeline stage, deal age, and historical conversion into reliable predictions.
  • Apply regression and other statistical methods to quoted and won/lost activity to surface the factors that most influence close rates and deal velocity.
  • Partner with sales leadership to refine forecasting methodology and strengthen commit and upside discipline.

Pipeline & Funnel Analytics

  • Assess funnel sufficiency against quota and coverage targets, flagging gaps in pipeline volume, velocity, or conversion early enough to act.
  • Analyze stage-to-stage conversion, sales cycle length, and win rates across divisions, segments, and reps to identify performance trends.
  • Quantify pipeline health and recommend where to focus pipeline-generation and deal-progression efforts.

Reporting & Visualization

  • Build and maintain Tableau dashboards, scorecards, and recurring reporting that give sales leaders a clear, current view of performance.
  • Translate analysis into concise, executive-ready narratives and visualizations that drive decisions rather than simply describe data.
  • Leverage automation and AI tools to streamline data preparation, reporting, and analysis — reducing manual effort, accelerating turnaround, and improving consistency.
  • Identify opportunities to apply AI and automation to recurring analytical and reporting workflows, and help bring those improvements into production.

Data Management & Cross-Functional Partnership

  • Source, validate, and reconcile sales data across CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) systems to ensure analyses rest on accurate, trusted data.
  • Partner with Sales Operations, Finance, and divisional leaders to align on definitions, metrics, and reporting standards.
  • Identify and resolve data quality issues, and recommend improvements to data capture and process.

WHAT YOU WILL BRING TO THE TEAM:

Education & Experience

  • Bachelor's degree in a quantitative or analytical field (Statistics, Economics, Finance, Data Analytics, Business, or related); equivalent experience considered.
  • Approximately 3 years of experience in sales, revenue, or business data analysis, including hands-on forecasting and pipeline analytics.
  • Demonstrated experience applying statistical methods such as regression to commercial or sales data.

Knowledge & Skills

  • Strong proficiency in Excel and SQL for data extraction, modeling, and analysis.
  • Proven experience building dashboards and reports in Tableau (primary tool); experience with other BI platforms a plus.
  • Working knowledge of sales forecasting methodologies, funnel and pipeline metrics, and sales performance KPIs.
  • Solid statistical foundation — regression, correlation, trend, and variance analysis — with the judgment to match the method to the question.
  • Familiarity with CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) data structures.
  • Demonstrated use of automation and AI tools (e.g., scripting, workflow automation, or AI-assisted analysis) to improve the speed, quality, or scale of analytical work.
  • Excellent communication skills, with the ability to translate technical analysis into clear recommendations for non-technical sales leaders.
  • Strong attention to detail, intellectual curiosity, and the ability to manage multiple priorities independently.
  • Experience in technology, telecom, or services/reseller environments preferred; exposure to Python or R a plus.

TRAVEL REQUIREMENTS:

Less than 10% travel.

DIRECT REPORTS:

No Direct Reports

WHO WE ARE:

Mobile Communications America, Inc. (MCA) provides wireless communication, data, and security solutions that enhance workplace safety, security, and efficiency nationwide. Customers trust us to provide a portfolio of turn-key systems, products, and services — including two-way radio communications, vehicle uplift, security video and access control systems, BDA/DAS, remote monitoring, GPS tracking, SCADA, dispatch, mass notification, and point-to-point wireless networks. Our more than 60,000 customers span industries such as public safety, commercial, manufacturing, education, healthcare, utilities, and government. In addition to being the largest Motorola partner in the U.S., MCA has strategic partnerships with over 1,000 major manufacturers to offer an extensive portfolio of products and technologies.

WHAT WE BELIEVE:

We are better together through the MCA Way: living our core values of Service First, Growth, Teamwork, and Safety. We take our work and customers seriously and believe our best work can be fun. A component of our business that embodies the MCA advantage is our “Service First DNA” culture. Service isn’t just a motto for MCA, it’s an integral part of who we are and goes beyond our customers to our employees, partners, shareholders, and communities.

NOTE: The above statements describe the general nature and level of work performed by the person assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, skills, and physical demands required of personnel so classified. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Mobile Communications America, Inc. is proud to be an Equal Opportunity workplace and is an Affirmative Action employer. We are committed to creating an inclusive environment that celebrates diversity. At MCA, we are “better together.”


#LI-AH1

What Mobile Communications America employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply