What are the responsibilities and job description for the Data - Junior Data Analyst (TS/SCI) position at Progression, Inc.?
Junior Data Analyst (TS / SCI)
Reston, VA
MUST :
Experienced Data Analyst
Active TS / SCI Required
Minimum 2-3 years in related field; Bachelors degree in related field.
The following experience / abilities are desired for all data analysts supporting this contract
Using the hardware / software / tools, to include analysis and reporting tools (required)
Experience in data management, analysis, predictive analysis, modeling, analyzing and visualization of current and future readiness data
Designing and building data warehouses. Extracting, transforming, and loading data in a large-scale data warehouse
Data analysis and predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systems
The following experience / abilities are desired for all data analysts supporting this contract
Using the hardware / software / tools, to include analysis and reporting tools (required)
Experience in data management, analysis, predictive analysis, modeling, analyzing and visualization of current and future readiness data
Designing and building data warehouses. Extracting, transforming, and loading data in a large-scale data warehouse
Data analysis and predictive analytics such as statistics, rule-based systems, regression and rule-based systems, regression, and data mining systems, and deploying such systems
DUTIES :
Data Analysis & Reporting : Use tools to analyze large datasets and generate actionable reports on current and future readiness data.
Predictive Modeling : Apply predictive analytics (e.g., regression, rule-based systems, and data mining) to forecast trends and behaviors.
Data Visualization : Create dashboards and visualizations to communicate data insights clearly to stakeholders.
Data Management : Extract, transform, and load (ETL) data into data warehouses, ensuring data integrity.
Data Warehousing : Design and build data warehouses for efficient data storage and retrieval.
Collaboration : Work with cross-functional teams to translate business needs into data solutions.
Tool Utilization : Leverage data analysis and reporting tools to optimize processes and enhance efficiency.
Data Quality : Ensure accuracy and consistency of data through validation and quality assurance measures.
Security & Compliance : Ensure adherence to security protocols and maintain confidentiality of sensitive data (Active TS / SCI clearance required).
Continuous Improvement : Stay updated on industry trends and improve data analysis methodologies.
Progression Inc. is an affirmative action / equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. #INDPRO #ZR
