Smart Synergies - Washington, DC

posted 11 days ago

Full-time
Washington, DC
Professional, Scientific, and Technical Services

About the position

The position involves providing advanced data visualization and insight generation through intuitive web-based capabilities and reporting. The successful candidate will be responsible for developing intuitive dashboards and data visualization products using Tableau or other data visualization tools. This role requires supporting business decisions with ad-hoc analysis and strategically thinking about how to publish data visualizations and present analytic results. Critical thinking skills are essential to assess how data analysis can best be applied to complex business situations. As part of a multidisciplinary team, the individual will work closely with stakeholders to complete high-profile, critical visual reporting services for corporate-level management. The role includes orchestrating multi-source data integration and normalization efforts using Excel, SQL, and/or Python to meet the requirements of executive-level reporting. The candidate will lead complex data analytical efforts and serve as an internal subject matter expert in the designated line of business. The position requires maintaining a deep understanding of client or organizational drivers to update client analytics and ad hoc reporting. The candidate will proactively investigate and present recommendations to enhance the visualization of key client drivers to improve reporting performance. Responsibilities also include preparing Tableau dashboards that meet the defined and derived requirements of the Mission Services Dashboard project, reviewing data samples, assisting with defining data schemas, proposing data models, and reviewing data storage solutions for suitability. Additionally, the candidate will propose approaches to resolving inquiries with repeatable data analytics, queries, and automations that promote the concept of data-driven decision-making. Evaluating data to determine capacity and quality of service with a view toward improving the service provided is also a key responsibility. The candidate will make recommendations to improve the DIA BEM analytical environment and assist DIA BEM personnel in reviewing, evaluating, and implementing new analytical technologies. Supporting requirements gathering, documentation, and analysis efforts, including facilitating meetings, documenting meeting minutes, and following up with stakeholders, is also part of the role. Finally, maintaining data flows, data extracts, and dashboard-related workbooks to meet data update frequency requirements as defined by MS BIMO client is essential.

Responsibilities

  • Provide advanced data visualization and insight generation via on-demand, intuitive web-based capabilities and reporting.
  • Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools.
  • Support business decisions with ad-hoc analysis.
  • Strategically think 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 for executive level reporting.
  • Lead complex data analytical efforts and serve as an internal subject matter expert in the designated line of business.
  • Maintain a deep understanding of client or organizational drivers to update client analytics and ad hoc reporting.
  • Proactively 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 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 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-paced high-profile development environment.
  • Ability to lead complex client analytical work efforts with heavy emphasis on visualization and manage other data analysts, including assigning work tasks.
  • 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.
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