Data Analyst

Overview

On Site
Hybrid
USD 60.00 per hour
Full Time

Skills

Recruiting
Amazon Web Services
SAS/SQL
Analytical Skill
Pandas
NumPy
Problem Solving
scikit-learn
PyTorch
TensorFlow
Logistic Regression
Time Series
Modeling
Statistics
Predictive Modelling
Decision Trees
Version Control
GitHub
Continuous Integration
Continuous Delivery
Management
Amazon SageMaker
Microsoft Azure
Snow Flake Schema
Netezza
Microsoft SQL Server
SAS
Cash Flow
Financial Analysis
Business Strategy
Computational Science
Data Analysis
Management Consulting
Microsoft Excel
SQL
Machine Learning (ML)
Cloud Computing
Software Development
Python
Project Planning

Job Details

Date Posted: 05/12/2025

Hiring Organization: Rose International

Position Number: 482548

Job Title: Data Analyst

Job Location: Plano, TX, USA, 75024

Work Model: Hybrid

Shift: 4 Days onsite 1 day remote

Employment Type: Temporary

Estimated Duration (In months): 13

Min Hourly Rate($): 60.00

Max Hourly Rate($): 66.00

Must Have Skills/Attributes: AWS, Python, SAS, SQL

Job Description
Required Education:
Master's degree or higher in a relevant analytical field.

Required Qualifications:
Highly proficient with SQL.
Hands-on experience with software development using Python Pandas, and Numpy.
Experience solving problems using a variety of statistical and machine learning techniques.
Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch, TensorFlow, etc).
Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
Proactive approach to identifying problems and developing innovative solutions.
Experience with version control in GitHub.

Preferred Qualifications:
Familiarity with CI/CD practices to streamline model deployment and code management.
Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools.
Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change.
Capability to replace and bridge existing legacy infrastructure and processes.
Experience with the Snowflake, Netezza, or Microsoft SQL environment.
Experience with SAS programming language.
Understanding of cashflow financial analysis and its implications for business strategy is highly desirable.

Job Responsibilities:

This role is ideal for someone who thrives at the intersection of computational science, data analysis, and business consulting. The ideal candidate will excel in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions. They should also be proficient in programming with Python, leveraging it to build robust models and ensure seamless deployment from development to production. The ability to present results and recommendations effectively to business partners and leaders is essential. If you have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team
Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
Software development with a Python environment
Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.

  • **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

  • **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**


Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.


California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.


Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.