Data & Analytics Developer

Actalent; Greenville (SC); Hybrid; USD 55,000 - 62,000; Full time

Benefits offered by this job

Health insurance

401(k)

Paid time off

Hybrid work options

Job summary

Actalent is seeking a Data & Analytics Developer to analyze and integrate data from enterprise systems and deliver insights and predictive models that support global operations and program management.

The role designs data structures, ML solutions, and automated reporting to improve data quality, forecast outcomes, and enable proactive decision-making across engineering, planning, and operations teams.

Qualifications

• Proficiency in Python for analytics, statistics, and ML.
• Advanced SQL skills for complex queries and data transformation.
• Hands-on ML, forecasting, and statistical analysis in business contexts.

Responsibilities

• Analyze data from enterprise systems to support planning and decision-making.
• Develop, validate, and maintain ML models for forecasting and scenario planning.
• Create automated reporting and monitoring across project lifecycles.
• Translate analytical results into actionable business recommendations.
• Collaborate across engineering, planning, operations and IT teams to define data requirements.

Skills

Python

SQL

Machine Learning

Data Integration

Model Validation

LLMs

Communication

Tools

SAP

Salesforce

Databricks

Power BI

Primavera P6

Microsoft Project

Job description

Job Title: Data & Analytics Developer

The Data & Analytics Developer analyzes and integrates data from a wide range of enterprise systems to deliver high-quality insights and predictive models that support global business operations and program management. This role designs and implements data structures, machine learning solutions, and automated reporting to improve data quality, forecast outcomes, and enable proactive decision-making across engineering, planning, and operations teams.

Job Description

The Data & Analytics Developer analyzes and integrates data from a wide range of enterprise systems to deliver high-quality insights and predictive models that support global business operations and program management. This role designs and implements data structures, machine learning solutions, and automated reporting to improve data quality, forecast outcomes, and enable proactive decision‑making across engineering, planning, and operations teams.

Responsibilities

• Analyze data from enterprise systems including SAP, Salesforce, Databricks, Power BI, financial, labor, and operational platforms to support business planning and decision‑making.
• Perform data exploration, cleansing, validation, and anomaly detection to improve data quality, reliability, and consistency across multiple data sources.
• Partner with business stakeholders to define data requirements, identify relevant data assets, and prioritize key initiatives that require advanced analytics and reporting.
• Develop, validate, and maintain machine learning models for forecasting, predictive analytics, and scenario planning, ensuring they align with business objectives.
• Apply statistical methods and model evaluation techniques, including R², MAE, RMSE, and cross-validation, to assess and improve model performance.
• Leverage Large Language Models (LLMs) and prompt engineering to support workflow automation, knowledge extraction, and data‑driven decision‑making.
• Document methodologies, assumptions, model performance, and analytical findings to ensure transparency, reproducibility, and effective knowledge sharing.
• Analyze variances between planned assumptions and actual project execution data to identify trends, risks, gaps, and root causes across programs and projects.
• Develop automated monitoring and reporting solutions that track performance throughout the project lifecycle, providing harmonized insights to stakeholders worldwide.
• Translate complex analytical results into clear, actionable business recommendations for both technical and non‑technical audiences.
• Act as a critical bridge between engineering domain data knowledge, business planning, operations, and IT teams by defining required data, data structures, and AI/ML solutions that deliver the most value.
• Support centralized business operations and program reporting that provide predicted ranges of outcomes and scenario‑based insights.
• Build scenario planning models that test critical business assumptions and track project execution through Primavera P6, Microsoft Project, and other enterprise systems.
• Identify gaps between planned project baselines and actual execution to drive proactive decision‑making and optimization of HDPE operations program management activities.
• Communicate findings, recommendations, and model implications clearly in written form to stakeholders and project teams.

Essential Skills

• Strong proficiency in Python for analytics, statistical modeling, and machine learning, including experience with libraries such as NumPy, SciPy, and Scikit-learn.
• Advanced SQL skills, including complex querying, joins, data transformation, and analysis of intricate business logic.
• Hands‑on experience with machine learning, predictive modeling, forecasting, and statistical analysis in a business context.
• Experience integrating and analyzing data from multiple enterprise systems and data sources, such as SAP, Salesforce, Databricks, and Power BI.
• Knowledge of model validation techniques and performance metrics, including R², MAE, RMSE, and cross‑validation.
• Experience with data cleaning, anomaly detection, and large‑scale data analysis to improve data quality and reliability.
• Understanding of semantic data models, data lineage, and enterprise reporting environments.
• Strong written communication skills to document methodologies, findings, and recommendations clearly for diverse audiences.
• Ability to develop and maintain machine learning models and scenario planning tools that support program management and operations.
• Capability to work across engineering, business planning, operations, and IT teams to define data requirements and structures.

Additional Skills & Qualifications

• Experience working with Primavera P6 and Microsoft Project to track project execution and performance.
• Background in building scenario planning models that test critical business assumptions and support risk and variance analysis.
• Familiarity with Large Language Models (LLMs) and prompt engineering to enhance workflow automation and analytical processes.
• Experience in enterprise reporting environments that serve global business stakeholders.
• Ability to support HDPE operations or similar complex program management activities through advanced analytics and forecasting.
• Comfort collaborating within broader engineering and proposal-based teams in an inclusive, cross‑functional environment.

Work Environment

This role operates in a professional office environment with the flexibility to work both on‑site and from home, depending on business needs and team arrangements. You will collaborate closely with engineering, operations, business planning, and IT teams using enterprise platforms such as SAP, Salesforce, Databricks, Power BI, Primavera P6, and Microsoft Project. The organization offers access to world‑class resources and tools, as well as opportunities to transition to a direct hire arrangement. Benefits such as holidays, vacation, paid time off, and comprehensive support for work‑life balance are available. The culture emphasizes inclusivity, collaboration, and partnership within a broader engineering and proposal‑focused team.

Job Type & Location

This is a Contract position based out of Greenville, SC.

Pay And Benefits

The pay range for this position is $40.00 - $45.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job‑related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:

• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre‑tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long‑term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a hybrid position in Greenville,SC. Application Deadline This position is anticipated to close on Sep 4, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News‑Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email [e-mail] for other accommodation options.

San Francisco Fair Chance Ordinance:

Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):

We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.