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Über diese Data Analyst Stelle bei CACI

CACI · Vor Ort · Millington, TN, US
Job Title: Data Analyst

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: Secret

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Continental US

* * *

The Opportunity:
CACI is seeking data analytics support for the Navy’s Chief Information Officer (CIO) for the MyNavyHR enterprise who is responsible for executing the development and sustainment of all information technology (IT) capabilities supporting OPNAV N1. The CIO ensures that IT architecture, solutions, data, and operational performance efficiently meets the evolving mission and business needs across the entire MyNavyHR enterprise.  If you are a motivated individual looking to be a part of a critical mission, CACI would like to speak to you!

Responsibilities:
You will be responsible for maintaining knowledge of online analytical processing (OLAP) tools. Gathers analytical requirements working with subject management experts. Develops data frameworks for data analysis to support end-user data discovery. Designs and develops data models that optimize analytical reporting performance. Develops data extraction, transformation, cleansing, and loading processes between transactional and analytical systems. Builds reports, dashboards, and OLAP databases to support end-user reporting and information requirements. Performs statistical analyses on data and predictive forecasting. Analyzes and interprets results using statistical techniques. Interpret trends or patterns in complex data sets.

You will support MyNavy HR functional data management, data governance, and business intelligence and analytics. Review current practices in how data is procured, stored, managed, interpreted, analyzed, applied, and disposed of and ensure that those practices are aligned with ethical principles or core concepts such as “Impact on people, potential for misuse, and the economic value of data” as defined in the DAMA-DMBOK. You will identify relevant data security requirements, define data security policy and standards, assess current security risks and implement controls and procedures. Plan, analyze, develop, and design data integration and interoperability solutions. Implement, and control activities necessary to store, protect, and access data found within electronic files and physical records (including graphics and images {e.g. scanned service record documents}. May also manage database operations to include planning for continuity, developing instances, monitoring performance, testing, and migration. Develop and implement the techniques, processes, and policies necessary for the collection (Big Data) and analysis (Data Science, Analytics and Visualization) of many different types of data.

Qualifications:
Required: Bachelor’s degree in information technology, computer science, mathematics, statistics, business, engineering, or physical science. 
Three years general experience: Business Process Improvement and/or, Electronic Documents and/or Systems and/or Network Administration and/or Data Standardization and/or Data Management and/or Data Governance, and/or Data Quality and/or Test Data Management and/or Data Architecture, and/or Data Security. 

Desired:

Programing (SQL, JAVA, Python, R), and/or Data Analysis Software (e.g., Excel, SAS, SPSS), and/or Knowledge of Database Query Language (e.g., SQL), Report Creation and Data Visualization (Tableau and R Studio), and/or Understanding of Statistical Methods and Techniques to Analyze Data, and/or DoD Risk Management Framework (RMF), and/or Managing Enterprise Level Cross Functional.

Complex problem solving, business processes, cyber security, network, hardware installation, network management and enterprise communication and information assurance.



 

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What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.


Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$50,500 - $101,000

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
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Wie sich dieses Gehalt für Data Analyst vergleicht

Diese Stelle zahlt $75,750/yr — unter der üblichen Spanne für Data Analyst Stellen.

$62,500 dem Median $103,500 $159,340

Übliche Spanne $79,816–$130,000/yr, aus 903 vergleichbaren Data Analyst Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Analyst ansehen →

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