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Power Bi Developer Contract Jobs in Duncan, SC (NOW HIRING)

Actalent

Arc Flash / Power Studies Engineer

Greenville, SC · Hybrid

$52.88 - $76.92/hr

Senior Electrical Engineer - Industrial Power Systems If you're an experienced electrical engineer ... Job Type & Location This is a Contract to Hire position based out of Greenville, SC. Pay and ...

Michelin

Industrial Engineer

Spartanburg, SC · On-site

$68K - $92K/yr

Industrial Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Build digital tools and dashboards (OSiSoft Pi, MicroStrategy, Power Bi). that brings value for ...

Michelin

Industrial Engineer

Spartanburg, SC · On-site

$68K - $92K/yr

Industrial Engineer Build a Career That Matters with One of the World's Most Respected Employers ... Build digital tools and dashboards (OSiSoft Pi, MicroStrategy, Power Bi). that brings value for ...

Nordsonhcm

Senior Purchasing Specialist

Clinton, SC · On-site

The Sr Purchasing Agent is responsible for supplier performance, contract and cost management ... Proficient with Microsoft Office applications, including Power BI, Word, PowerPoint, Excel, and ...

Delan Associates, Inc

ETL Lead

Greenville, SC

Green Ville , SC (Onsite) Duration : 6+ Months contract Visa: USC and GC Years of Exp: 12+ Key ... Data Modeling, Curation & Governance Develop curated, analytics-ready datasets to support Power BI ...

Delan Associates, Inc

ETL Lead

Greenville, SC · On-site

Green Ville , SC (Onsite) Duration : 6+ Months contract Visa: USC and GC Years of Exp: 12+ Key ... Data Modeling, Curation & Governance Develop curated, analytics-ready datasets to support Power BI ...

Fortive

Contract Specialist

Greenville, SC · On-site

... Managers, Program Developers, and other stakeholders throughout the contract development ... Our forward-looking companies lead the way in software-powered workflow solutions, data-driven ...

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All JobsPower Bi Developer Contract JobsPower Bi Developer Contract Jobs in Duncan, SC

Power Bi Developer Contract information

See Duncan, SC salary details

$17

$49

$71

How much do power bi developer contract jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for power bi developer contract in Duncan, SC is $49.60, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $56.73 per hour, depending on experience, location, and employer.

What is a Power BI developer contract?

A Power BI Developer contract position is a temporary role in which a professional is hired to design, develop, and maintain business intelligence solutions using Microsoft Power BI. Contract developers often work on specific projects, such as creating dashboards, reports, and data models, for a set period or until project completion. They collaborate with stakeholders to understand business requirements and translate them into effective data visualizations. This role typically requires strong skills in data analysis, DAX, SQL, and experience with Power BI tools. Contract positions offer flexibility and the opportunity to work with multiple organizations across different industries.

What are some common challenges Power BI developers face when working on contract assignments?

Power BI Developers on contract often encounter challenges such as quickly adapting to new data environments and understanding the unique business requirements of each client. Since contract roles can be short-term, developers must efficiently communicate with stakeholders to gather requirements and deliver impactful dashboards within tight deadlines. Additionally, integrating Power BI solutions with existing systems and ensuring data security compliance can be demanding, especially if documentation is limited. Building strong relationships with permanent staff and maintaining flexibility are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a Power BI developer contract?

To thrive as a Power BI Developer (Contract), you need solid experience with data modeling, DAX, and visualization, typically backed by a degree in computer science or a related field. Familiarity with Microsoft Power BI, SQL, Azure services, and relevant certifications such as Microsoft Certified: Data Analyst Associate are commonly expected. Strong analytical thinking, problem-solving ability, and effective communication skills help you deliver actionable insights to stakeholders. These skills ensure accurate data interpretation, impactful reporting, and successful project outcomes in dynamic business environments.

What is the difference between Power Bi Developer Contract vs Power BI Analyst?

AspectPower Bi Developer ContractPower BI Analyst
CredentialsTypically requires Power BI certifications, SQL, and data modeling skillsOften requires similar certifications, with a focus on data analysis and reporting
Work EnvironmentContract roles in various industries, project-based, often remote or on-siteFull-time or contract, in corporate settings, focusing on ongoing data analysis
Employer & Industry UsageUsed by companies needing temporary BI solutions or project-specific workUsed by organizations for continuous data reporting and analysis

Power Bi Developer Contract roles focus on building and implementing Power BI solutions on a temporary basis, often requiring technical expertise. Power BI Analysts typically handle ongoing data analysis and reporting within organizations. While both roles require similar skills and certifications, their employment nature and responsibilities differ.

What cities near Duncan, SC are hiring for Power Bi Developer Contract jobs? Cities near Duncan, SC with the most Power Bi Developer Contract job openings:
Power Bi Developer Contract jobs near you

Data & Analytics (D&A) Developer II

Lancesoft

Greenville, SC • On-site

$50 - $55/hr

Temporary

Posted 12 days ago

Job description


Job Title: Data & Analytics (D&A) Developer II Job Duration: 06+ Months contract. Location Greenville, SC 29615 Pay Range $50.00-55.00/hour on W2. Work Type Onsite
Client is accelerating the path to more reliable, affordable, and sustainable energy, while helping our customers power economies and deliver the electricity that is vital to health, safety, security, and improved quality of life.
We are seeking a curious, analytically sharp, and digitally passionate Data Scientist to join our HDPE Operations & Strategy team - a team where collaboration and participative leadership are not just words, but the way we work every day. This is your opportunity to create real impact from day one. As a core member of our HDPE team, you will be at the forefront of our engineering vision -where data intelligence and AI-powered tools redefine how we manage, predict, and operate across GE Vernova's global business.
You will act as the critical bridge between our Engineering domain data knowledge, business planning, operations and our IT execution team -defining what data we need, how it should be structured and used, and what AI/ML solutions can unlock the most value. You will support centralized business operations and program reporting that delivers harmonized insights and predicted range of outcomes to business stakeholders worldwide.
You will build scenario planning models that test critical business assumptions and track project execution through P6 and enterprise systems, identifying gaps between plan and reality to drive proactive decision-making. This role will be critical in efforts to optimize HDPE Operations program management activities
Required Technical Skills
Core Data Science & ML Tools
  • Python: Strong proficiency in data analysis, statistical modeling, and ML development (pandas, numpy, scikit-learn, scipy, curve fitting, object-oriented programming)
  • Scenario Planning & What-If Analysis: Ability to build multi-scenario models to test assumptions and evaluate alternative planning outcomes
  • Machine Learning: Foundational to intermediate experience with ML frameworks and methodologies (scikit-learn, XGBoost, or similar)
  • Model Evaluation: Understanding of model validation metrics (R², MAE, RMSE, cross-validation, custom scoring functions)
  • SQL: Proficiency in querying, joining tables, data manipulation, and interpreting complex queries
  • Statistical Analysis: Understanding of statistical modeling, hypothesis testing, and experimental design

Data Management Competencies
  • Data Exploration: Ability to independently explore enterprise datasets and identify patterns, gaps, and opportunities
  • Data Cleaning: Experience handling messy data, identifying inconsistencies, and standardizing formats across heterogeneous systems
  • Data Integration: Experience merging multiple datasets from various enterprise data sources (SAP, Salesforce, Databricks, ERP/CRM)
  • Anomaly Detection: Sharp eye for finding outliers, errors, and unusual patterns in structured and unstructured data

AI & Advanced Analytics
  • Semantic Data Models: Understanding of data modeling concepts across heterogeneous systems
  • Forecasting & Prediction: Experience developing models for scenario modeling and predictive use cases
  • Large Language Models (LLMs): Familiarity with LLMs and basic prompt engineering techniques for practical business applications

Dashboard & Logic Comprehension
  • Reverse Engineering: Ability to review existing dashboards, ML models, and reports to understand design patterns, business requirements, and underlying data sources
  • SQL Query Analysis: Strong capability to read and interpret complex SQL queries to understand data flows and business logic
  • Data Source Understanding: Skills to trace data lineage, review prepared data sources, and comprehend underlying data structures
  • Pipeline Collaboration: Experience working with Data Engineers to ensure data requirements are correctly implemented at pipeline and infrastructure level

Nice to Have Skills
• Advanced ML/Deep Learning: Experience with TensorFlow, PyTorch, neural networks, or deep learning applications
• Unit Testing: pytest or similar frameworks for data science code quality
• Experience with P6 (Primavera), MS Project, or similar project execution systems
• MLOps: Model versioning, experiment tracking (MLflow, Weights & Biases), deployment basics
• Cloud Platforms: Familiarity with Azure, AWS, or GCP for data science workflows
• Advanced LLM Applications: Experience with fine-tuning, RAG (Retrieval-Augmented Generation), or agent frameworks
• Data Governance: Understanding of data governance principles and responsible AI practices
• Enterprise Systems: First-hand experience with SAP, Salesforce, Databricks, or similar ERP/CRM systems from a data consumption perspective
Key Responsibilities
Data Analysis & Intelligence
  • Analyze quality data from multiple enterprise systems (SAP, Salesforce, Databricks, Power BI, labor systems, finance data) to identify patterns, gaps, and opportunities for data-driven improvements
  • Work with Program Managers and/or Operations leaders to define which data assets are relevant for business use cases and specify how data from different systems should be accessed, interpreted, and used
  • Transform structured/unstructured datasets (often 100k+ rows) into actionable insights
  • Conduct data quality checks and identify/resolve data defects and abnormalities across enterprise platforms

AI/ML Model Development & Deployment
  • Develop and validate Machine Learning models that support demand forecasting, scenario modeling, and predictive use cases for short-term and long-term business goals
  • Document analytical findings, model performance, and data definitions clearly to ensure transparency and reproducibility across the team
  • Pipeline Collaboration & Development: Experience working with Data Engineers to ensure data requirements are correctly implemented;ability to build and maintain Python-based data pipelines for ETL, model training, and automated forecasting workflows
  • Translate business technical data challenges into concrete data science and AI/ML problem statements, acting as the domain-aware bridge between Engineering/Operations and the Digital team
  • Leverage Large Language Models (LLMs) and prompt engineering to build intelligent tools that augment human decision-making and automate workflows

Scenario Planning & Project Execution Analytics
  • Design and execute scenario planning models to test business assumptions (demand forecasts, resource capacity, cost projections) and evaluate "what-if"outcomes for strategic decision-making
  • Track project execution data across P6 (Primavera) and other project management systems, linking planning assumptions to actual execution performance
  • Support variance analysis between planned assumptions (forecast hours, budgets, timelines) and actual project execution data to identify gaps, root causes, and trends
  • Build automated tracking solutions that monitor assumption validity as projects progress through lifecycle stages (planning →design ->execution →closeout)
  • 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 visualize assumption-to-execution alignment, highlighting projects at risk due to assumption breakdown

Existing Data Ecosystem & Optimization
  • Review and analyze existing client's dashboards, models, and data pipelines to understand design patterns, business requirements, and data flows
  • Read and interpret SQL queries, business logic, and semantic models embedded in current reports and analytical systems
  • Understand underlying data structures and prepared data sources to support maintenance and enhancement
  • Identify opportunities to optimize or consolidate existing reporting and modeling assets
  • Maintain consistency with established Client's data standards and best practices

Business Stakeholder Collaboration
  • Translate complex data findings and model outputs into clear, actionable business insights for both technical and non-technical audiences
  • Resolve customer and internal user queries related to model outputs, data insights, or data defects
  • Support the Operations team in delivering centralized data analysis-based reporting solutions (including KPI), providing harmonized insights and KPIs to business stakeholders across client's global business lines

Innovation & Continuous Improvement
  • Collaborate closely with cross-functional Data analysts and Data engineers to ensure data requirements are correctly understood and implemented at pipeline and infrastructure level
  • Build and maintain a deep understanding of Semantic Data Models to ensure consistent data interpretation across applications and business systems
  • Stay current with the latest advancements in AI, ML, and data science, proactively proposing new approaches that could enhance our solutions
  • Contribute to the evolution of Engineering Data Quality, bringing innovative ideas and a forward-thinking mindset to continuously improve our modeling and tooling landscape

Essential Soft Skills & Competencies
Communication & Collaboration
  • Stakeholder interaction skills: Ability to engage with non-technical audiences and translate complex technical concepts and AI/ML findings into business value
  • Understanding & listening skills: Proven ability to grasp business requirements, ask clarifying questions, and define clear data requirements for distributed execution teams
  • Positive communication style: Professional, proactive, and solution-oriented approach
  • Multilingual capability: Fluent in English (written and spoken);additional languages are a plus

Mindset & Work Style
  • Analytical thinking: Strong problem-solving abilities with attention to detail, logical reasoning, and scientific rigor
  • Technical curiosity: Intellectually curious, able to dive into existing work, understand how ML models and data pipelines were built, and learn from established patterns
  • Collaborative mindset: Comfortable operating in dynamic, evolving environments and working across international, multicultural teams and time zones
  • Learning agility: Self-motivated to learn new tools, techniques, and business domains quickly;stay current with AI/ML advancements
  • Accountability: Takes ownership of deliverables, escalates issues appropriately, and participates in daily, weekly, and monthly meeting rhythm with client
  • Proactive communication: Communicate project status, risks, dependencies, and potential escalations early and clearly

Meet Your Recruiter
Aniket Kadam
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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