Experis/ManpowerGroup has partnered with a Federal Integrator to assist in identifying a Data Modeler/Analyst for a contracting role in Washington DC.Job Description/Responsibilities: SQL Coding for reports, dashboards, and visualizations. Using Python (or R) to help your stakeholders improve their performance, and sometimes designing algorithms to decipher deeper why and how questions.Understanding your business stakeholders' objectives, the metrics that are the most important to them, and how they measure their performance.Turning business requirements into technical requirements.Finding and understanding the correct data sources for a given analysis.Iterating based on stakeholder feedback.Visualizing complex analysis.Learning from, and sharing knowledge and skills with your teammates to grow BI's total impact to the organization.Required Skills:Bachelor of Science in math, statistics, computer science, or equivalent technical field. Master of Science in any of the aforementioned fields, preferred.2+ years of industry and client consulting experience in a data science, business analytics, business intelligence, or comparable data engineering role.2+ years of experience using SQL to write complex, highly-optimized queries across large volumes of data.Experience with Tableau or equivalent to create impactful reports, visualizations, and interactive dashboards.Experience in report development, data warehousing, as well as BI tools, techniques, and technologyExperience using Python or R programming languages, preferred.Excellent oral and written communication skills, and comfort presenting to everyone from entry-level employees to senior leaders.Ability to directly connect analytic insights to strategy drivers.Knowledge of ETL and data warehouse concepts and processes.Sensitivity to clients' needs and ability to develop warm client relationships.Curiosity and passion about data, visualization and solving problems.Creativity to determine the best solution for a real-world problem with quantitative data.Experience with reporting, descriptive statistics, probability, and cleaning big datasets.Willingness to question the validity, accuracy of data and assumptions.Enjoyment from collaborating with others in a team environment.Eagerness to learn in a fast-paced environment.Drive and self-reliance.Active Public Trust Clearance required to start.