ZipRecruiter

Log In

1

Data Analytics Contract Jobs in Lyman, SC (NOW HIRING)

Staffingine LLC

Data Analyst

Greenville, SC · On-site

Data Analyst Job Location: Greenville, SC Job Type ... Contract * Help prepare borrowing base reports, and monthly service reports * Provide support in ...

Varsity Tutors

Data Analysis Tutor

Greenville, SC · Remote

$18 - $40/hr

... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Fortive

Contract Specialist

Greenville, SC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong analytical and problem-solving skills. * Ability to interpret, review, and manage ... Our forward-looking companies lead the way in software-powered workflow solutions, data-driven ...

Varsity Tutors

Data Science Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Business Analytics Tutor

Greenville, SC · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Lockheed Martin

Sr, Financial Mgmt

Greenville, SC · Hybrid

$80K - $100K/yr

The role will require data mining, EAC and data analysis and engaging with the Control Account ... Key Responsibilities Ensure contracts have sound material cost and financial baselines Collaborate ...

Lockheed Martin

Stf, Financial Mgmt

Greenville, SC · Remote

This role requires data mining and data analysis expertise as well as presenting those findings to ... Key Responsibilities Ensure contracts have sound material cost and financial baselines Conduct ...

ascendtransport

Pricing Analyst

Greenville, SC

  • Medical

  • Dental

  • Vision

Key Responsibilities Pricing Strategy & Analytics * Build and maintain comprehensive pricing models ... teams to provide data-driven pricing intelligence for new product launches and contract ...

next page

Showing results 1-20

All JobsData Analytics Contract JobsData Analytics Contract Jobs in Lyman, SC

Data Analytics Contract information

See Lyman, SC salary details

$22

$50

$87

How much do data analytics contract jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data analytics contract in Lyman, SC is $50.48, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $57.16 per hour, depending on experience, location, and employer.

What types of projects and responsibilities are typical for a data analytics contract?

As a Data Analytics Contractor, you may work on projects ranging from analyzing large datasets to identify trends, developing dashboards and reports, to creating predictive models to support business objectives. You’ll often be expected to extract, clean, and interpret data, then communicate findings to stakeholders through presentations or visualizations. Collaboration is common, as you may work alongside marketing, operations, or product teams to address their data needs. Flexibility in juggling multiple assignments and adapting to different project scopes is a key part of contract work. This variety offers exposure to different industries and business challenges, enhancing both your skillset and career prospects.

What does a data analytics contract do?

A data analytics contract outlines the scope, deliverables, and terms for a data analyst or data analytics professional working on a project. It specifies responsibilities, deadlines, compensation, and often requires familiarity with tools like SQL, Python, or Tableau to analyze and interpret data effectively.

What is a data analytics contract?

A Data Analytics Contract job is a temporary or project-based role where a professional analyzes and interprets data to help businesses make informed decisions. These positions typically involve data visualization, statistical analysis, and reporting using tools like SQL, Python, or Power BI. Contract durations can vary from a few months to a year, depending on the organization's needs. This type of job allows for flexibility and the opportunity to work with different industries.

What are the key skills and qualifications needed to thrive in a data analytics contract position?

To thrive in a Data Analytics Contract role, you need strong analytical thinking, statistical knowledge, and proficiency in data visualization, typically backed by a degree in a quantitative field and relevant project experience. Familiarity with tools like SQL, Python, R, Tableau, or Power BI, as well as certifications such as Microsoft Data Analyst Associate or Google Data Analytics Certificate, is highly valued. Excellent communication, problem-solving ability, and the adaptability to manage multiple projects independently are standout soft skills for this position. These abilities are crucial for delivering actionable insights, meeting project deadlines, and effectively supporting organizational decision-making.

What cities near Lyman, SC are hiring for Data Analytics Contract jobs? Cities near Lyman, SC with the most Data Analytics Contract job openings:
Data Analytics Contract jobs near you
Infographic showing various Data Analytics Contract job openings in Lyman, SC as of August 2026, with employment types broken down into 83% Full Time, 10% Part Time, and 7% Contract. Highlights an 100% In-person job distribution, with an average salary of $104,993 per year, or $50.5 per hour.

Data & Analytics Developer

West Coast Logistics

Greenville, SC

$47 - $53/hr

Contractor

Posted 11 days ago

Job description

CLIENT HIGHLIGHT
The client you'll be supporting is a Fortune 500 global leader in energy technology, focused on helping the world produce cleaner, more reliable power. Their teams design and improve the systems that keep homes, businesses, and communities running, from gas and wind turbines to the electrical grids that connect them. This is a chance to be part of a company that's driving innovation, supporting sustainability, and shaping the future of energy.

LOCATION
Greenville, South Carolina, 29615

COMPENSATION
$47-53 per hour, full benefits offered

SCHEDULE
Hybrid; local candidates
Standard Hours: 40 hours per week

CONTRACT TERM
1 year with high likelihood of extension or conversion

POSITION OVERVIEW
The Data & Analytics (D&A) Developer II / Data Scientist supports the HDPE Operations & Strategy team, serving as the bridge between engineering domain knowledge, business operations, and IT execution. This role defines data requirements, builds AI/ML and scenario-planning models, and delivers harmonized insights and reporting to business stakeholders worldwide. Responsibilities: Analyze data across enterprise systems (SAP, Salesforce, Databricks, Power BI); develop and validate machine learning models for forecasting and scenario planning; build and maintain Python-based data pipelines; track project execution through P6 and other project systems; reverse-engineer existing dashboards and SQL logic; and translate technical findings into actionable business insights.

RESPONSIBILITIES
Data Analysis & Intelligence
  • Analyze data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor and finance systems) to identify patterns, gaps, and improvement opportunities
  • Work with Program Managers and Operations leaders to define relevant data assets and specify how data should be accessed, interpreted, and used
  • Transform large structured/unstructured datasets (100k+ rows) into actionable insights
  • Conduct data quality checks and resolve data defects across enterprise platforms
AI/ML Model Development & Deployment
  • Develop and validate machine learning models supporting demand forecasting and scenario modeling
  • Document analytical findings, model performance, and data definitions for transparency and reproducibility
  • Build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows in collaboration with Data Engineers
  • Translate business data challenges into concrete data science and AI/ML problem statements
  • Leverage LLMs and prompt engineering to build tools that augment decision-making and automate workflows
Scenario Planning & Project Execution Analytics
  • Design and execute scenario planning models to test business assumptions and evaluate what-if outcomes
  • Track project execution data across P6 (Primavera) and other systems, linking planning assumptions to actual performance
  • Support variance analysis between planned assumptions and actual execution to identify gaps and trends
  • Build automated tracking solutions monitoring assumption validity through project lifecycle stages
  • Collaborate with Program Managers to refine planning assumptions based on execution learnings
  • Provide data pipelines and data to build executive dashboards visualizing assumption-to-execution alignment
Existing Data Ecosystem & Optimization
  • Review existing dashboards, models, and data pipelines to understand design patterns and data flows
  • Read and interpret SQL queries and business logic embedded in current reports and analytical systems
  • Identify opportunities to optimize or consolidate existing reporting and modeling assets
  • Maintain consistency with established data standards and best practices
Business Stakeholder Collaboration & Continuous Improvement
  • Translate complex data findings and model outputs into clear, actionable insights for technical and non-technical audiences
  • Support centralized, KPI-based reporting solutions for business stakeholders across global business lines
  • Collaborate with Data Analysts and Data Engineers to ensure data requirements are implemented correctly at the pipeline and infrastructure level
  • Stay current with AI, ML, and data science advancements, proposing new approaches to enhance solutions
REQUIREMENTS
  • Bachelor's degree in Data Science, Computer Science, Engineering, or related field.
  • Strong proficiency in Python (pandas, numpy, scikit-learn, scipy) and SQL.
  • Experience with statistical modeling, scenario/what-if analysis, and model validation.
  • Familiarity with enterprise data systems (SAP, Salesforce, Databricks) and LLM/prompt engineering concepts.
  • Strong communication skills and ability to work across international, multicultural teams.