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Data Analyst
SMX Jacksonville, FL
$87k-114k (estimate)
Full Time 2 Weeks Ago
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SMX is Hiring a Data Analyst Near Jacksonville, FL

SMX is seeking a USNAVSO Data Analyst/Subject Matter Expert to support our customer located at Mayport Naval Station, Florida.

The qualified candidate will be responsible for interfacing directly with the Government customer at their onsite facility. As a Data Analyst you are responsible for providing subject matter expertise on command and control integration, development, unmanned systems supporting current and future operational missions, leveraging analysis, supporting command operations logistics, implementing plans, programs, policies, and procedures during deliberate planning phases. In addition, you will directly support the N92/N96 as the Minotaur Integration lead and will integrate multi-domain unmanned assets into Fleet Minotaur.

The ideal candidate must possess strong interpersonal and communication skills, perform as a self-starter able to timely and efficiently manage multiple tasks, make decisions in ambiguous conditions, while meeting provided deadlines with minimal supervision.

This position requires a DoD secret clearance with the ability to upgrade to a TS/SCI which requires US citizenship for work on a DoD contract.

Essential Duties & Responsibilities

  • Develop plans for Government implementation to shape the environment to achieve customer objectives and support affiliated component units, government organizations, and partner nation missions in the SOUTHCOM AOR
  • Demonstrate and share gained experience with working groups, by identifying areas for future implementation of current and arising innovative uncrewed vehicles and technologies, with the final intent of maximizing autonomous operations in support of Maritime Domain Awareness (MDA)
  • Serve as the Data Analytics lead and Subject Matter Expert in terms of Data analytics, policy, and integration into the 4F Mission/AOR
  • Interface with Government customer and execute logistics planning and contracting actions with subcontractors in support of technical testing, exercises, and operational activities within the SOUTHCOM AOR
  • Provide support to Minotaur Integration lead, capturing user stories, developing data strategies, facilitate knowledge management planning and tool integration

Required Skills & Experience

  • Required clearance: Secret with ability to upgrade to TS/SCI
  • 3 years of experience in military intelligence, cryptologic analysis, information warfare, or cyber operations
  • Bachelors degree in mathematics, data analytics, statistics or geospatial analysis
  • Understanding of military data analytics, data policy, and C2 (Command and Control) systems architecture
  • Proficiency in data wrangling, database management (including SQL querying)
  • Ability to collect, clean, prepare, analyze, interpret, and archive data
  • Strong foundation in statistics, probability theory, and applying them to data analysis
  • Skill in automating data workflows using Python or other scripting languages
  • Proven ability to create clear and compelling data visualizations (dashboards, charts, infographics)
  • Excellent communication skills to translate analytical findings into actionable stories for military decision-makers
  • Knowledge of cloud computing service models (SaaS, IaaS, PaaS) and deployment models (public, private, hybrid)
  • Working knowledge of cybersecurity principles, network security methodologies, and common threats/vulnerabilities
  • Ability to identify basic coding errors

Desired Skills & Experience

  • DoD or Government Data Team leadership experience
  • Experience with AI/ML modeling, applications, and fundamental AI concepts
  • Operational experience with unmanned systems or intelligence, surveillance, and reconnaissance
  • 5 years Academic or technical experience in Data Analytics, Database administration, GIS Processes, software development, sensor payloads or robotics, AI/ML processes and autonomous systems
  • Proficiency using data tools such as Excel functions, VBS, Hadoop, Jupyter, Python, BI, R, SQL, Mongo, Java, JavaScript, NiFi, Tableau, Flare, Google Visualization API Docker, Kubernetes, Neo4j, and/or ArcGIS
  • Knowledge of intelligence community directives (ICDs) and standards Certified Defense All Source Analyst (CDASA)-I qualification desired

#LI-TM1 #CJPOST #LI-ONSITE

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability status, protected veteran status, race, color, age, religion, national origin, citizenship, marital status, sex, sexual orientation, gender identity or expression, pregnancy or genetic information. SMX is an Equal Opportunity/Affirmative Action employer including disability and veterans.

Selected applicant will be subject to a background investigation.

Job Summary

JOB TYPE

Full Time

SALARY

$87k-114k (estimate)

POST DATE

04/17/2024

EXPIRATION DATE

06/15/2024

WEBSITE

smx.biz

SIZE

<25

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Analyst job description and responsibilities

A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.

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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.

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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.

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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.

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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Analyst jobs

Data analysts typically work with existing data to solve defined business problems.

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Data analysts rely on various tools to collect and make sense of their data.

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Banks and financial firms need data analysts for financial reporting and forecasting.

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Data analysts often work directly with more senior data team members like data scientists or data engineers.

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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.

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Step 3: View the best colleges and universities for Data Analyst.

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