Herndon, Virginia, USA
41 days ago
Data Visualization & Analysis SME

Cloud Lake Technology is looking for a Data Visualization & Analysis SME. In this position you will perform data visualization and data analytics support for the Federal Emergency Management Agency (FEMA) Grant Programs Directorate (GPD) to include designing and creating visually informative information that will support storytelling through dashboards, infographics, and videos. All products shall comply with the Department of Homeland Security (DHS) Brand Identity Program as applicable. Products must be developed using existing approved software tools as identified in the FEMA Technical Reference Model (TRM).

To join our team of outstanding professionals, apply today!

Responsibilities

Drafts concept papers to include three options for a process and how to display data for FEMA review, feedback, and approval.

Develops primers for best practices on topics such as data collection, analytical methods, data visualization, complex event processing, business performance management (including performance measurement), predictive and prescriptive analytics, decision architecture, and executive reporting.

Maintains and updates the visual information work products on a regular and as needed basis as new data and analyses are available, and as new GPD requirements are provided.

Develops Artificial Intelligence (AI) and Machine Learning (ML) use cases for topics such as anomaly detection and risk analyses.

Uploads raw and analyzed date to the visual information dashboard on a regular and as needed basis.

Works with FEMA GPD staff and end users across multiple business lines to clarify frequently required or requested information (e.g., funding by state or program, burn rates, or trends) and develop designs for reporting and visual information dashboard solutions.

Supports a data architecture that encompasses both legacy and contemporary database designs.

Visually display trends from a variety of data sources, including specific performance data on various grant portfolios financial data, and varying stakeholder audiences.

Must be willing and able to work within time constraints and meet deadlines consistently.

Must have experience successfully engaging and communicating with senior executives, other contractor personnel and peers within a fast-paced environment.

Must have solid oral and written communication skills in order to be successful in this role.

Qualifications

A bachelor’s degree in computer science, Economics, Mathematics, Engineering, or a related field is strongly preferred. In lieu of a degree five years of relevant experience may be substituted for the degree.

Well versed and practical experience with contemporary data tools to include:

Tableau

Python

Machine Learning Libraries in Python

Utilization and manipulation of data housed in cloud-based systems (i.e. AWS, Microsoft Azure)

Strong attention to detail and ability to take initiative.

Applicants selected will be subject to a government background investigation and must meet eligibility and suitability requirements.

Desired Qualifications:

A master’s degree in data science, Data Analytics, MIS, Engineering, or a related field is strongly preferred.

Extensive experience with Tableau publishing and well versed in Tableau Desktop and Tableau Server (should be considered a Tableau super user)

Previous experience using Tableau Prep Builder

Capable of using AI algorithms to streamline processes

Knowledge and practical experience with:

Presto, SQL and PL-SQL for both Oracle and Postgres

FEMA enterprise systems such as IFMIS, PARS, Enterprise Data Warehouse (EDW), Operational Data Store (ODS)

Analytic and visualization tools on the FEMA Technical Resource Manual (TRM).

Pay Range

$125,000 - $135,000

Benefits

Regular - The company offers a comprehensive benefits program, including medical, dental, vision, life insurance, 401(k) and a range of other voluntary benefits. Paid Time Off (PTO) is offered to regular full-time and part-time employees.

Job ID

2024-13473

Work Type

Remote

Company Description

Work Where it Matters

Cloud Lake Technology, an Akima company, is not just another federal IT contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.

At Cloud Lake, the work you do every day makes a difference in the lives of our 15,000 Iñupiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.

For our shareholders , Cloud Lake provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.

For our government customers , Cloud Lake delivers highly specialized, data-centric services and technology solutions that break down organizational boundaries and transform mission delivery.

As a Cloud Lake employee , you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.

We are an equal opportunity employer and comply with all applicable federal, state, and local fair employment practices laws. All applicants will receive consideration for employment, without regard to race, color, religion, creed, national origin, gender or gender-identity, age, marital status, sexual orientation, veteran status, disability, pregnancy or parental status, or any other basis prohibited by law. If you are an individual with a disability, or have known limitations related to pregnancy, childbirth, or related medical conditions, and would like to request a reasonable accommodation for any part of the employment process, please contact us at job-assist@akima.com or 571-353-7053 (information about job applications status is not available at this contact information).

Confirm your E-mail: Send Email