Assessment/Data Analyst Position Available In Hillsborough, Florida

Tallo's Job Summary: GDIT is seeking a Sr. Assessment/Data Analyst in Tampa, FL. Responsibilities include quantitative and qualitative analyses, assessment strategy implementation, data restructuring, and providing actionable insights. Requirements include 2+ years of statistical modeling experience, proficiency in R/Python, and a Master's degree in Mathematics, Statistics, or Social Sciences. Salary ranges from $68,000 to $92,000.

Company:
General Dynamics
Salary:
$80000
JobFull-timeRemote

Job Description

Assessment/Data Analyst
Job ID Number

RQ197629

MacDill

AFB, FL, US

Category Project/Program Management Employment Type Full Time Business Unit GDIT
GDIT
RESPONSIBILITIES

FOR THIS POSITION
Location:

USA FL MacDill AFB

Full Part/Time:

Full time

Job Req:
RQ197629
Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Secret
Clearance Level Must Be Able to

Obtain:

Top Secret/SCI

Public Trust/Other Required:

None

Job Family:

Functional Experts

Job Qualifications:
Skills:

Data Analysis, Qualitative Data, Research Methodologies

Certifications:

None

Experience:

2 + years of related experience

US Citizenship Required:

Yes

Job Description:

GDIT is hiring a Sr. Assessment/Data Analyst for the Tampa FL area.

WHAT YOU WILL DO
Responsibilities:

Provide assessment through quantitative and qualitative analyses
Evaluate and execute assessment strategies requiring collection metrics related to both individual and team performance and program objectives
Restructure data from various sources, and analyzing the data to provide actionable insights
Employ superior written communication to create meaningful stories by combining quantitative (e.g., correlation, trends over time) and qualitative data
Utilize empirical methods to conduct exploratory and explanatory research using available data to determine MOP and MOE
Work with team and stakeholders to develop sound new evaluation methods

WHAT YOU WILL NEED
Qualifications Requirements:

2+ years of related work experience with statistical modelling (e.g. regression, time series, hierarchal modelling)
Experience with statistical analysis using R and/or Python and applying advanced mathematical and analytical models, probability models, statistical interference, simulations, and optimization
Proven experience with qualitative and quantitative research methods and strong written and verbal communication skills.
Proven intermediate Excel skills (e.g., PivotTables, formulas, create/update graphs)
Proven advanced data analysis skills, including the ability to understand and work with structured data in standard (e.g., CSV, JSON) & nonstandard delimited formats.
Will provide preliminary error checking (e.g., ensure correct parsing, missing values, valid data types)
Master’s degree or higher from an accredited university with a major in the Mathematics, Statistics, or Social Sciences (Behavioral Science, IO Psychology, Economics, etc.)
Minimum Secret clearance required; accepted candidates will be submitted for TS/SCI. Active TS/SCI eligibility preferred.

Preferred Experience & Qualifications:

Experience using SQL to manipulate & analyze data stored in relational databases (e.g., MS Access, PostgreSQL)
Ability to devise measurement strategy given a research question and existing data constraints
Familiarity with advanced analytics (e.g., SNA, NLP, ML)
Familiarity with data visualization including experience with common visualization software (i.e., R, Tableau, PowerBI)
Familiarity with Program Evaluation Theory
Knowledge of Behavioral or Social Sciences
Experience with survey design and analysis

GDIT IS YOUR PLACE

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you build your skills and own your career
Professional growth opportunities including paid education and certifications
Rest and recharge with paid vacation and 10 company-paid holidays
#ARMA
#armajobs
The likely salary range for this position is $68,000 – $92,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA FL MacDill AFB

Additional Work Locations:

Total Rewards at

GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.
We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.
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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
PI271684769

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