Data Visualization Developer - TS/SCI with Polygraph

Lmi Consulting - Washington, DC

Full-time - Mid Level

Washington, DC

Professional, Scientific, and Technical Services

About the position

LMI is seeking a Data Visualization Developer to support our Intelligence Community client. This role involves providing advanced data visualization and insight generation through intuitive web-based capabilities and reporting, utilizing tools like Tableau. The developer will work closely with stakeholders to deliver high-profile visual reporting services and lead complex data analytical efforts, ensuring that data-driven decision-making is at the forefront of the organization's operations.

Responsibilities

• Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools.
• Support business decisions with ad-hoc analysis.
• Think strategically about how to publish data visualizations and present analytic results.
• Use critical thinking skills to assess how data analysis can best be applied to complex business situations.
• Work closely with stakeholders to complete high profile, critical visual reporting services to corporate level management.
• Orchestrate multi-source data integration and normalization efforts using Excel, SQL, and/or Python.
• Lead complex data analytical efforts and serve as an internal subject matter expert in the designated line of business.
• Maintain a deep understanding of the client or organizational drivers to update client analytics and ad hoc reporting.
• Investigate and present recommendations to enhance visualization of key client drivers to improve reporting performance.
• Prepare Tableau dashboards that meet the defined and derived requirements of the Mission Services Dashboard project.
• Review data samples, assist with defining data schemas, propose data models, and review data storage solutions for suitability.
• Propose approaches to resolving inquiries with repeatable data analytics, queries, and automations that promote the concept of data driven decision making.
• Evaluate data to determine capacity and quality of service with a view toward improving the service provided.
• Make recommendations to improve the DIA BEM analytical environment.
• Assist DIA BEM personnel in reviewing, evaluating, and implementing new analytical technologies.
• Support requirements gathering, documentation and analysis efforts including facilitating meetings, documenting meeting with minutes, and following up with stakeholders.
• Maintain data flows, data extracts and dashboard related workbooks to meet data update frequency requirements.

Requirements

• Bachelor's Degree in a related field and 4 years' experience using Tableau or similar software solution for data ingest, and end user visualizations.
• A minimum of 8 years of data analytics work experience.
• Experience working with programming languages like SQL, Python, or R.
• At least 2 years of experience working within the Intelligence Community.
• Experience with MS PowerPoint, Word, Excel, and SharePoint.
• Previous experience providing data analytic solutions to executive management and serving as the customer interface for data analytic projects.
• Experience working with a highly motivated customer daily in a fast pace high profile development environment.
• Ability to lead complex client analytical work efforts with heavy emphasis on visualization and manage other data analysts.
• Knowledge of best practices in data visualization and business intelligence software, including recent versions of Tableau.
• Experience developing visualizations and deploying those visualizations to server environments, such as publishing dashboards created in Tableau Desktop to Tableau Server.
• Experience developing content for and delivering training to others on the use of Tableau or a similar business intelligence software.
• Ability to design and influence data architectures to reflect how users will access and analyze data.
• Excellent communication skills and proven ability to work with business customers and technical teams.

Nice-to-haves

• Preferred experience in methods related to data munging, data and feature engineering, and predictive analytics.