LMI is seeking a Data Visualization Developer to support our Intelligence Community client.
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LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customersβ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.
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LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces!Β We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible!
Responsible for providing advanced data visualization and insight generation via on-demand, intuitive web-based capabilities and reporting.
As part of a multidisciplinary team, work closely with stakeholders to complete high profile, critical visual reporting services to corporate level managementΒ
Orchestrate multi-source data integration and normalization efforts using Excel, SQL, and/or Python to meet the requirements of executive level reportingΒ
Lead complex data analytical efforts and serve as an internal subject matter expert in the designated line of businessΒ
Work on-site to maintain a deep understanding of the client or organizational drivers to update client analytics and ad hoc reportingΒ
Proactively investigate and present recommendations to enhance visualization of key client drivers to improve reporting performanceΒ
Prepare Tableau dashboards that meet the defined and derived requirements of the Mission Services Dashboard project.Β Β
Review data samples, assist with defining data schemas, propose data models, and review data storage solutions for suitability.Β
Propose approaches to resolving inquiries with repeatable data analytics, queries, and automations that promote the concept of data driven decision making. Β
Evaluate data to determine capacity and quality of service with a view toward improving the service provided.Β
Make recommendations to improve the DIA BEM analytical environment.Β
Assist DIA BEM personnel in reviewing, evaluating, andΒ implementing new analytical technologies.Β
Support requirements gathering, documentation and analysis efforts including facilitating meetings, documenting meeting with minutes, and following up with stakeholdersΒ
Maintain data flows, data extracts and dashboard related workbooks to meet data update frequency requirements as defined by MS BIMO client.Β
MINIMUM QUALIFICATIONS:
Bachelor's Degree in a related field and 4 years' experience using Tableau or similar software solution for data ingest, and end user visualizationsΒ
A minimum of 8 years of data analytics work experienceΒ Β
Experience working with programming languages like SQL, Python, or RΒ
At least 2 years of experience working within the Intelligence CommunityΒ
Experience with MS PowerPoint, Word, Excel, and SharePointΒ
Previous experience providing data analytic solutions to executive management and serving as the customer interface for a data analytic projectsΒ
Experience working with a highly motivated customer daily in a fast pace high profile development environmentΒ
Ability to lead complex client analytical work efforts with heavy emphasis on visualization and manage other data analysts to include assigning work tasksΒ
#LI-SH1
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Target salary range: $98,000 - $171,000. Final compensation will be determined by a variety of factors including but not limited to your skills, experience, education, and/or certifications.
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The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.