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Data Analyst (TS/SCI CI Poly Required)
$94k-123k (estimate)
Other | IT Outsourcing & Consulting 4 Months Ago
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Planned Systems International is Hiring a Data Analyst (TS/SCI CI Poly Required) Near Linthicum, MD

Overview

Elevating Possibility, Transcending Expectation. At PSI we live our core values of People, Service, and Integrity. With over 35 years of experience as a leading federal contracting company, we are dedicated to providing only the highest quality services to a variety of customers and government agencies. From enterprise IT solutions to healthcare consulting and engineering services, our work spans the globe. By joining PSI, you will support a team of passionate, service-oriented individuals who make it their mission to develop vital solutions for our customers.

Essential Functions and Job Responsibilities

  • Provide operations research analysis to support US CYBERCOM’s J2 and Joint Intelligence Operations Center.
  • Work with security defense and combatant command assessments of past activities to progress toward campaign objectives.
  • Leverage advanced technologies, scientific principles, theories, and concepts to assist the client with advancing performance and operating efficiently.
  • Assist the client with planning programs, including recommending technological application programs to accomplish long-range objectives.

Minimum Requirements

  • Active TS/SCI w/ CI POLY security clearance required.
  • Bachelor’s degree in Computer Science, Engineering, Engineering Management, Math, or equivalent. An additional four years of relevant of experience may be considered as a substitute.
  • Prior experience as a Data or Operations Research Analyst.
  • Experience working with web developers to create leadership and SME dashboards, including web-enabled data collection for operations, activities, and investments (OAIs).
  • Ability to build analytical models for strategic and campaign assessments, including military assessment and strategic risks.
  • Knowledge of programming languages (e.g. XML, JavaScript, ETL Frameworks) and databases (e.g. SQL, SQLite, etc).
  • Knowledge of database design, data models, data mining, and segmentation techniques.
  • Knowledge on statistical packages for analyzing large datasets (e.g. SAS, Excel, SPSS, etc). 
  • Experience with data analysis tools (e.g. Tableau, RapidMiner, OpenRefine, KNIME, Google Search Operators, NodeXL, etc.).
  • Strong ability to use and create MS Office products such as word documents, PowerPoint, access and excel databases.
  • Able to work independently and without direct supervision.

Desired Qualifications

  • Five (5) years of relevant experience.
  • High Desirable: Prior Intelligence Experience (such as All-Source, CI, HUMINT, SIGINT).

Company Benefits

PSI offers full-time, benefits eligible employees a competitive total compensation package that includes paid leave, and options for employer sponsored group medical, dental, vision, short-term and long-term disability, life insurance, AD&D coverage, legal services, identity theft, and accident insurance. Flexible spending account and health saving account options offer pre-tax savings for qualified medical, dental, and vision expenses. The company sponsored 401(k) retirement plan has an employer contribution match that is immediately vested. We invest in the professional growth of our employees through professional courses, certifications, and tuition reimbursement programs.

EEO Commitment

It is company policy to promote equal employment opportunities. All personnel decisions, including, but not limited to, recruiting, hiring, training, promotion, compensation, benefits, and termination, are made without regard to race, color, religion, age, sex, sexual orientation, pregnancy, gender identity, genetic information, national origin, citizenship status, veteran status, protected veteran status, disability, or any other characteristic protected by applicable federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing HRDepartment@plan-sys.com, or by dialing 703-575-8400.

Job Summary

JOB TYPE

Other

INDUSTRY

IT Outsourcing & Consulting

SALARY

$94k-123k (estimate)

POST DATE

01/07/2024

EXPIRATION DATE

01/08/2025

WEBSITE

plan-sys.com

HEADQUARTERS

COLUMBIA, MD

SIZE

500 - 1,000

FOUNDED

1988

CEO

TERRY LIN

REVENUE

$50M - $200M

INDUSTRY

IT Outsourcing & Consulting

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The following is the career advancement route for Data Analyst (TS/SCI CI Poly Required) positions, which can be used as a reference in future career path planning. As a Data Analyst (TS/SCI CI Poly Required), 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 (TS/SCI CI Poly Required). You can explore the career advancement for a Data Analyst (TS/SCI CI Poly Required) 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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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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