Work within an Azure DevOps (ADO) environment to manage sprints and project deliverables related to data analytics. * Apply Scrum/Agile methodologies to execute data projects efficiently, ensuring ...
Work within an Azure DevOps (ADO) environment to manage sprints and project deliverables related to data analytics. * Apply Scrum/Agile methodologies to execute data projects efficiently, ensuring ...
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Work within an Azure DevOps (ADO) environment to manage sprints and project deliverables related to data analytics. * Apply Scrum/Agile methodologies to execute data projects efficiently, ensuring ...
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Senior Data Analyst
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New
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Afternoon Data Analyst R Programming information
What is an Afternoon Data Analyst R Programming?
What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?
What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?
| Aspect | Afternoon Data Analyst R Programming | Morning Data Analyst R Programming |
|---|---|---|
| Required Credentials | Bachelor's in Data Science, Statistics, or related field; R programming skills | Bachelor's in Data Science, Statistics, or related field; R programming skills |
| Work Environment | Typically in office settings, working during afternoon hours | Office environment, working during morning hours |
| Employer & Industry Usage | Used in industries with shift-based operations like finance, healthcare | Common in similar industries, often with flexible scheduling |
| Search & Comparison Intent | People comparing different shift roles or schedules in data analysis | Similar search intent focusing on shift timing differences |
The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.
What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

Other
Posted 8 days ago
Job description
Description
The Data Analyst will support data analytics and predictive analytics in support of the USCENTCOM J6 Team. This role involves working with the Data Analytic Environment (DAE) and Data Analytic Services (DAS), focusing on data management, data-centricity, data infrastructure, and analytic development to help USCENTCOM become a data-centric organization. The Data Office team will deliver, operate, and maintain the end-to-end DAE infrastructure as well as provide a data catalog consisting of discovering, cataloging, accessing, managing, and governing geographically dispersed data, sources, metadata tags, and data analysis functions. This role focuses on data analysis, reporting, and providing actionable insights using data from multiple sources. The analyst will work closely with stakeholders to ensure data integrity and effective use of analytical tools like Power BI and Qlik, operating in an Agile environment.
Essential Duties and Responsibilities- Develop and maintain dashboards, reports, and data visualizations using Power BI, Qlik, and other analytics tools.
- Conduct data modeling, data wrangling, and data cleansing to ensure quality and accuracy.
- Work within an Azure DevOps (ADO) environment to manage sprints and project deliverables related to data analytics.
- Apply Scrum/Agile methodologies to execute data projects efficiently, ensuring delivery meets changing requirements.
- Collaborate with the USCENTCOM J6 Executive Data Officer (XDO) and other stakeholders to align data analytics efforts with business goals.
- Extract, process, and analyze data from multiple sources, identifying trends and insights for decision-making.
- Ensure data quality through governance practices such as cataloging, tagging, and validation.
- Collaborate with data engineers to develop data pipelines to automate data integration, ensuring seamless access to accurate data.
- Support predictive and advanced analytics initiatives, including AI/ML models.
- Participate in daily stand-ups, sprint planning, and retrospectives to ensure continuous collaboration and transparency across teams.
Education:
- B.A./B.S. in Data Science, Computer Science, or a related field.
- Alternatively, 3-5 years of experience in data analytics.
Required Skills:
- Proficiency in Power BI, Qlik, and Excel for data reporting and visualization.
- Experience with data modeling, data integration, and data governance practices.
- Knowledge of Azure DevOps (ADO) for managing work items and sprints.
- Familiarity with Scrum/Agile methodologies to manage data projects.
- Strong ability to provide data-driven insights for leadership decision-making.
- Active Secret clearance required.
- Experience with AI/ML models and advanced analytics techniques.
- Understanding of DoD data strategy and data mesh/fabric architectures.
- Experience working with military/government data environments.
- Cloud certifications (AWS/Azure) are a plus.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
While performing the duties of this position, the employee is regularly required to talk or hear. The employee frequently is required to use hands or fingers, handle or feel objects, tools, or controls. The employee is occasionally required to stand; walk; sit; and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this position include close vision, distance vision, and the ability to adjust focus. The noise level in the work environment is usually low to moderate.
Northern Technologies Group is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, national origin, disability, age, or any other protected status under federal, state, or local law.
Travel
10%
Shift
Normal office hours that align with the core hours of the customer
Note
The company is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.
The salary range listed represents a good faith estimate and is provided in compliance with applicable pay transparency laws. The final compensation offered will be determined based on a variety of factors, including your skills, experience, qualifications, internal equity, and market conditions.