Data Analyst

Vosper Thornycroft Group; Chantilly (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Vosper Thornycroft Group seeks an experienced Data Analyst / Business Analytics Specialist to support data-driven decisions in a mission-focused environment. You will analyze complex datasets, create visualizations in Tableau, and translate customer requirements into actionable analytics.

The role requires hands-on data manipulation with Python or R, SQL, and Tableau Prep Builder, plus strong communication with technical and non-technical audiences. On-site work in Chantilly, VA is expected.

Qualifications

• BS degree and 11-15 years of prior relevant experience.
• Active TS/SCI with Polygraph.
• Experience in business analytics, statistics, data visualization.
• Hands-on Tableau experience and ability to translate requirements into analytical products.

Responsibilities

• Analyze complex datasets to support decision-making.
• Develop dashboards and visualizations using Tableau.
• Query and validate data with SQL and Excel.
• Translate customer requirements into project specifications.
• Interact with stakeholders to coordinate requirements and resolve data questions.

Skills

Data analysis

Tableau

Python

SQL

Excel

Education

BS degree

Tools

Tableau Prep Builder

SQL

Excel

Job description

Overview

We are seeking an experienced Data Analyst / Business Analytics Specialist to support data-driven decision-making within a mission-focused environment. The ideal candidate will have hands-on experience analyzing complex datasets, developing data visualizations, identifying trends and relationships, and translating customer requirements into actionable analytical products and system specifications.

What will you do?

• Apply qualitative and quantitative data analysis methodologies to complex business and mission-related problems.
• Use critical thinking, analytical judgment, and programmatic, quantitative, and qualitative methods to identify patterns, relationships, and trends across disparate datasets.
• Perform mathematical, statistical, and other data-driven analyses to answer business questions and support organizational decision-making.
• Obtain structured and unstructured data from multiple sources, synthesize the information, and present findings clearly and concisely through written and graphical products.
• Transform, manipulate, combine, and analyze data using programming languages such as Python or R.
• Develop dashboards, reports, and interactive data visualizations using Tableau.
• Create visualization mockups and prototypes and demonstrate analytical products to both technical and non-technical audiences.
• Use data preparation tools such as Tableau Prep Builder to clean, organize, and prepare data for analysis and visualization.
• Interpret data models and work with a variety of data sources, database structures, and data formats.
• Use SQL and Excel to query, manipulate, analyze, and validate data.
• Translate customer requirements and business needs into project or system specifications.
• Interact directly with customers and stakeholders to coordinate requirements, clarify objectives, and resolve data-related questions.
• Document analytical methodologies, workflows, processes, and technical procedures.
• Provide analytical judgment and trend analysis based on research, historical data, and comparisons with previous analytical products.

Do you have what it takes?

• Active TS/SCI with Polygraph
• BS degree and 11-15 years of prior relevant experience
• Demonstrated experience in at least two of the following disciplines:
  • Business Analytics
  • Statistics
  • Data Verification and Validation
  • Data Visualization
• Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
• Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
• Experience documenting workflows and work processes.
• Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
• Experience interpreting data models and working with multiple data sources and data structures.
• Experience translating customer requirements into project or system specifications.
• Strong interpersonal, written, and verbal communication skills.
• Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
• Hands-on experience with Tableau
• Experience transforming, manipulating, and combining data using Python or another programming language.
• Experience with a data preparation tool such as Tableau Prep Builder
• Experience using SQL and Microsoft Excel