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Data Analyst
Coalfire Federal Washington, DC
$110k-144k (estimate)
Full Time | Telecommunications 2 Weeks Ago
Save

Coalfire Federal is Hiring a Data Analyst Near Washington, DC

About Coalfire

Coalfire Federal is a market leading cybersecurity consultancy firm that provides independent and tailored advice, assessments, technical testing and a full suite of cyber engineering services to Federal agency customers.  Coalfire Federal along with its parent company, Coalfire, has an unparalleled client list with deep customer relationships with leading cloud and technology providers including Amazon, Microsoft, IBM, Google and Oracle and Federal agencies. Coalfire has been a cybersecurity thought leader for over 20 years and has offices throughout the United States and Europe and is committed to making the world a safer place by solving our clients’ toughest security challenges.

But that’s not who we are – that’s just what we do.

We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference.

We’re currently seeking a Data Analyst to support our Federal team in Washington, D.C. (Hybrid; 3 days on site). 

What you'll do

  • Collect, validate, model, and analyze data from disparate data sources.
  • Create infographics and visualizations for inclusion in Cybersecurity briefings and presentations.
  • Collaborate with key stakeholders to gather reporting requirements.
  • Develop key metrics, interpret performance trends, identify root causes, and support data-based performance improvement.
  • Tailor reporting to the needs of the audience, communicating the relevant cyber risk.
  • Build a sustainable cyber risk reporting process.

What you'll bring

  • Ability to leverage a wide variety of data science capabilities and languages, analyze and resolve critical data issues using various methodologies, and ensure data integrity.
  • Experience with developing and engineering data workflows to merge disparate data sources and draw data-driven insights.
  • Experience in working with SIEM technologies.
  • Experience with working in Windows and Linux OS environments.
  • Experience with Power BI.
  • Experience with Python scripting.
  • Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined; must be detail-oriented and organized.
  • Exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment to compose client deliverable quality documentation, analysis, and reports.

Education 

Completed Bachelor’s degree from an accredited university in operations research, engineering, analytics, data science, economics, applied mathematics, statistics, or a related field preferred.

Clearance / Suitability 

Ability to obtain a clearance or a Public Trust is preferred, however all clearance levels and non-cleared applicants will also be considered.

Certifications Our aim is to build a technologically diverse team - so while we don’t have a set list, there may be certain benchmarks we look for that apply to your expertise. We recommend checking out the DoD Approved 8570 Baseline Certifications as an example.

Years of Experience 

At minimum 3 to 5 years of professional work experience with data-oriented tasks for cybersecurity operations, including Power BI, Python Scripting, and SIEM technologies. 

Bonus Points

Experience with developing and engineering cybersecurity with a focus on applied data science or machine learning a plus.

Why you'll want to join us

Our people make Coalfire Federal great. We work together on interesting things and achieve exceptional results. We act as trusted advisors to our customers and are committed to client-focused innovation as well as innovation in the industries that we serve.

Coalfire offers our people the chance to grow professionally with colleagues they like and respect while tackling challenges that stretch their minds and expand their skill sets. Regardless of location, you’ll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You’ll have opportunities to join employee resource groups, participate in in-person and virtual events, and more.

You’ll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support memberships, and comprehensive insurance options.

Coalfire is an EEO employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Telecommunications

SALARY

$110k-144k (estimate)

POST DATE

04/28/2024

EXPIRATION DATE

04/27/2025

WEBSITE

coalfirefederal.com

HEADQUARTERS

Chantilly, VA

SIZE

25 - 50

INDUSTRY

Telecommunications

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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.

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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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