Job FCC seeks data analyst GS 11/12
Data Wrangler for Leveraging Data Google group
Data Analyst
Federal Communications CommissionOverview
Open & closing dates
02/04/2019 to 02/18/2019
Service
Competitive
Pay scale & grade
GS 11 - 12
Salary
$68,036 to $106,012 per year
Appointment type
Permanent
Work schedule
Full-Time
Locations
1 vacancy in the following location:
- Washington, DC1 vacancy
Relocation expenses reimbursed
No
Telework eligible
Yes as determined by agency policy
Duties
Summary
This position is located in the Federal Communications Commission, Office of Inspector General.
Relocation expenses will not be paid.Responsibilities
The incumbent utilizes a diverse range of statistical, mathematical standards, computer programming, operations research, actuarial theories, principles and practices, concepts, laws, and diagnostic methods and techniques, to quantify performance in the discovery, interpretation, and communication of meaningful patterns in data collection to address substantive and technical issues or problems characterized by complex, controversial, and/or sensitive matters that contain several inter-related issues. The incumbent liaises with management to understand their requirements, ensuring that objectives are met.
Develops and maintains applications using MS Access, Oracle and Sybase Standard Query Language (SQL), Python, and other computer models that support analytic methods and requirements.
The incumbent designs and models and develops analyses that are used to mine enterprise systems and applications for knowledge and information that enhances OIG processes. Responsible for building, deploying and maintaining data support tools. Applies code writing skills, programming languages, and basic predictive models and scripting languages.
Performs data discovery, data mining, predictive modeling simulation and visualization to further enhance insights and drive decisions based on the data. Applies sophisticated mathematical algorithms and modeling tools to a variety of data assets and develops critical solutions for multiple OIG areas. This includes working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
Plans for and provides data analyses for OIG staff to satisfy internal and external reporting requirements. Develops, interprets, analyzes data extracts and reports form OIG systems and databases, and develops the most efficient and effective automated approaches for preparing/presenting OIG reports, charts, tables and graphs to support and satisfy management reporting requirements.
Travel Required
Not required
Supervisory status
No
Promotion Potential
13
Job family (Series)
Requirements
Conditions Of Employment
- US Citizenship.
- Suitable for employment as determined by a background investigation.
- Serve a probationary period of one year, if applicable.
- Males born after 12/31/59 must be registered with Selective Service.
- Must submit a financial disclosure statement upon assuming the position.
Please note your resume must thoroughly support your responses to the vacancy questions. Your resume is an integral part of the process for determining if you meet the basic qualifications of the position and determining if you are to be among the best qualified.
Qualifications
Applicants must meet eligibility and qualification requirements by the closing date of this announcement. Current Federal employees must meet time-in-grade requirements by the closing date of this announcement.
GS-11 Specialized Experience: Applicants must have a minimum of one year of specialized experience equivalent to at least the GS-9 in the Federal service. For this position, specialized experience includes the following;
- Experience working in the areas of data mining and data predictive analytics using data mining programs;
- Experience providing technical advice both written and verbal on the analysis of research findings; and/or
- Experience with Structured Quantitative Query (SQL)
OR
Have a Ph.D. or equivalent doctoral degree
OR
Have 3 full years of progressively higher level graduate education leading to a Ph.D. or equivalent doctoral degree
OR
Have a combination of education and experience.GS-12 Specialized Experience: Applicants must have a minimum of one year of specialized experience equivalent to at least the GS-11 in the Federal service. For this position, specialized experience includes the following:
- Analyzing data using probability statistics and trend analysis;
- Writing statistical computer programs, design and perform computer simulation;
- Developing mathematical algorithms; and/or
- Applying code writing and programming languages (e.g., Python and SQL-Structured Query Language) basic and advance prediction models and fluency with scripting language (e.g., Python)
PART-TIME OR UNPAID EXPERIENCE: Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education
Additional information
How You Will Be Evaluated
All applicants will be rated on the extent and quality of experience and education relevant to the duties of the position. The FCC determines the BEST QUALIFIED CANDIDATES based on the major job related competencies and evaluation of your knowledge, skills, and abilities reflected in your application and supporting documents using the CATEGORY RATING PROCESS. All eligible applicants under Delegated Examining (DEU) will be placed in one of the following three categories:
1. Highly Qualified (Score 90-100) - the applicants possessing a background that demonstrates a superior level of major job related competencies and possession of all evaluation criteria;
2. Fully Qualified (Score 80-89) - the applicants possessing a background that demonstrates a satisfactory level of major job related competencies and possession of the evaluation criteria; and
3. Minimally Qualified (Score of 70-79)- the applicants possessing only the specialized experience described in the vacancy announcement.
An automated score is administered based on the on-line application process used. Eligible applicants will receive a numerical rating based on their responses to the job specific questions for this position.
Application of Veterans Preference: The category rating process does not add veterans' preference points or apply the "rule of three" but protects the rights of veterans by placing them ahead of non-preference eligible within each category. Preference eligible who meet the minimum qualification requirements and who have compensable service-connected disability at least 10 percent MUST be listed in the highest quality category, except when the position being filled is scientific or professional at the GS-9 grade level or higher.
A selecting official may make selection from the highest quality category ("HIGHLY QUALIFIED") provided no preference eligible in that category is passed over to select a non-preference eligible in the same category.
Applicants under Merit Promotion will be considered in accordance with the agency's merit promotion plan and union agreement.
There are several parts to the application process that affect the overall evaluation of your application including:
1. the core questions
2. the vacancy questions
3. supplemental documentation (e.g., DD-214, SF-50, SF-15, transcripts), if applicable; and
4. your resume.
Applicants will be rated ineligible, if they do not respond to job specific questions, provide supplemental documents and submit resume. For more information, please click on Rating Process.
You will be evaluated for this position on the following Knowledge, Skills, Abilities and Other characteristics (KSAOs):1.Knowledge of data mining tools, data discovery, data analytics, predictive modeling, simulation or visualization, analytic software, and applying code writing and programming languages.
2. Knowledge of a wide range of concepts, policies, practices, analytical diagnostic methods and techniques to address inter-related issues of the office dealing with data analysis.
3. Skill in communicating research findings and data collection results in written and oral communication.
To preview questions please click here.Background checks and security clearance
Security clearance