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Contract Data Analytics Manager Jobs in Clemson, SC

Data Analytics Senior Analyst

Pelzer, SC · On-site

$64K - $81K/yr

Job Summary The Data Analytics Senior Analyst is responsible for analyzing, preparing, and ... for project management and executive reporting - Design report layouts with clear, high-level ...

Data Analytics Senior Analyst

Pelzer, SC · On-site

$64K - $81K/yr

Job Summary The Data Analytics Senior Analyst is responsible for analyzing, preparing, and ... for project management and executive reporting - Design report layouts with clear, high-level ...

Contract * Help prepare borrowing base reports, and monthly service reports * Provide support in ... Coordinating and preparing necessary material for investor presentations, management reporting, and ...

Manager, Contract Management

Greenville, SC · On-site

$83K - $111K/yr

Administer moderately large and complex contracts Negotiate contract terms and conditions, analyze ... manager Ability to protect the Company's interests by enforcing warranties, mitigating risk, and ...

Manager, Contract Management

Greenville, SC · On-site

$83K - $111K/yr

... analyze commercial sections of proposals and technical proposal evaluations, and coordinate ... contracts manager • Ability to protect the Company's interests by enforcing warranties ...

The Oncology Data Specialist is detail oriented, committed to high-quality data abstraction, meets ... Attend educational meetings as required by the ACoS as deemed appropriate by the CDS Manager.

The Oncology Data Specialist is detail oriented, committed to high-quality data abstraction, meets ... Attend educational meetings as required by the ACoS as deemed appropriate by the CDS Manager.

Data Scientist III - FCRM

Greenville, SC · On-site

$96K - $155K/yr

The US FCRM Data Analytics team supports financial crime risk management through ad hoc analytics, internal audit and regulatory data requests, BAU reporting, machine learning, and advanced ...

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 ...

Analytics, Insights, & Artificial Intelligence Attention: This role is not eligible for TD work ... Depth & Scope: * Works autonomously within a specialized business management function and may ...

Data & Analytics The Senior Business Information Management Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas ...

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Collaborate with Program Managers to refine planning assumptions based on execution learnings and historical pattern analysis. * Provide data pipeline and data to build executive dashboards that ...

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Contract Data Analytics Manager information

See Clemson, SC salary details

$26.3K

$82.3K

$145.7K

How much do contract data analytics manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for contract data analytics manager in Clemson, SC is $82,310.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $106,300.00 per year, depending on experience, location, and employer.

What does a contract data analytics manager do?

A Contract Data Analytics Manager is responsible for overseeing data analysis projects and processes on a contractual basis, often for a specific project or period. They collect, interpret, and analyze large sets of data to help organizations make informed business decisions. Their role may involve collaborating with stakeholders, managing a team of analysts, and ensuring the quality and accuracy of data reports. Since they work on a contract, their focus is typically on delivering results within a defined timeframe. They often work in industries like finance, healthcare, or marketing where data-driven insights are crucial.

What are the key skills and qualifications needed to thrive as a contract data analytics manager, and why are they important?

To thrive as a Contract Data Analytics Manager, you need expertise in data analysis, contract management, and a solid background in business, finance, or a related field, often supported by a relevant degree. Familiarity with analytics tools like SQL, Tableau, and Excel, as well as contract management systems, and sometimes certifications in data analytics or project management, are commonly required. Strong attention to detail, communication, and problem-solving abilities help you interpret complex data and collaborate across departments. These skills are crucial to extract actionable insights from contract data, mitigate risks, and optimize business outcomes.

What are some common challenges faced by contract data analytics managers, and how can they be addressed?

Contract Data Analytics Managers often encounter challenges such as quickly understanding a company's existing data infrastructure, aligning expectations with stakeholders within a limited timeframe, and delivering actionable insights under tight deadlines. To address these challenges, it's essential to prioritize clear communication with team members and stakeholders, leverage onboarding materials or knowledge transfer sessions, and utilize standardized analytics tools and processes. Developing an agile project plan and regularly reviewing progress with the client can also help ensure that deliverables remain aligned with business objectives.

What is the difference between Contract Data Analytics Manager vs Data Analyst?

AspectContract Data Analytics ManagerData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in project managementBachelor's in Data Science, Statistics, or related field; proficiency in data tools
Work EnvironmentProject-based, often consulting or temporary roles, working with multiple clients or teamsFull-time, in-house or remote, supporting ongoing business operations
Employer & Industry UsageConsulting firms, corporations, government agencies; focus on delivering analytics projectsCorporations, tech companies, finance, healthcare; focus on data reporting and insights

The Contract Data Analytics Manager typically oversees analytics projects on a temporary basis, requiring management skills and strategic oversight. In contrast, Data Analysts focus on data collection, processing, and reporting within ongoing operations. Both roles require strong analytical skills, but the managerial role emphasizes project leadership and client interaction.

What are popular job titles related to Contract Data Analytics Manager jobs in Clemson, SC?

For Contract Data Analytics Manager jobs in Clemson, SC, the most frequently searched job titles are:

What job categories do people searching Contract Data Analytics Manager jobs in Clemson, SC look for?

The top searched job categories for Contract Data Analytics Manager jobs in Clemson, SC are:

What cities near Clemson, SC are hiring for Contract Data Analytics Manager jobs?

Cities near Clemson, SC with the most Contract Data Analytics Manager job openings:

Infographic showing various Contract Data Analytics Manager job openings in Clemson, SC as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $82,310 per year, or $39.6 per hour.

Data & Analytics Developer

West Coast Logistics

Greenville, SC

$47 - $53/hr

Contractor

Posted 20 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.