Application (SQL) Database Analyst

Overview

Remote
$75,000 - $105,000
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Data Modeling
Database
Data-flow Diagrams
Data Security
Data Integrity
Database Security
Database Design
MySQL
PostgreSQL
PL/SQL
Query Optimization
Problem Solving
ServiceNow
VersionOne
Oracle SQL Server
Agile
Analytical Skill
Application Lifecycle Management
Data Integration
Database Administration
Federal Government
Government Contracting

Job Details

Application Database Analyst

This is a Full-Time (W2) Remote Position supporting The United States Postal Service (USPS). Full benefits, PTO, and paid holidays are inclusive to this position.

Number of Available Positions: 1

Contract Term: 10/1/2025- 9/30/2026 (With Possible Extensions)

Salary Target: $75K- $105K (Salary is flexible based on the relevant professional experience and background related to the position)

Requirements: Prior experience supporting a Federal Government Agency/Project within the past 2 years; 2+ years of relevant professional experience including database management (MySQL, Oracle SQL Server, PostgreSQL); Data Modeling; Troubleshooting; Strong SQL Proficiency; Database Administration

Project Description

Under client guidance and direction, the contractor will provide support, and review and/or participate in the development of various initiatives and other responsibilities.

Required Skills:

Knowledge with the following qualifications:

  • Database Skills: Proficiency in database management systems like MySQL, Oracle, SQL Server, PostgreSQL, etc. Strong understanding of database concepts, normalization, indexing, and query optimization.
  • Data Modeling: Knowledge of data modeling concepts and tools to design database structures, entities, relationships, and data flow diagrams.
  • Problem-Solving Skills: Ability to troubleshoot database issues, identify root causes, and implement effective solutions to optimize database performance and data integrity.
  • Analytical Skills: Strong analytical and critical thinking skills to analyze data, identify patterns, and make data-driven recommendations.
  • SQL Proficiency: Strong command of SQL (Structured Query Language) for querying, manipulating, and managing data within databases.
  • Database Administration: Familiarity with database administration tasks such as performance tuning, backup and recovery, security management, and user access control.
  • Communication Skills: Effective communication skills to collaborate with team members, stakeholders, and business users, and to translate technical concepts into non-technical terms.

Preferred Skills:

Working knowledge (2+ years experience) of one of more of the following qualifications:

  • Knowledge/experience with Agile Methodologies
  • Knowledge/experience of SDLC practices
  • DevSecOps, Secure Coding practices, and the Solutions Development Framework (Docker, Jenkins, GitLab)
  • Experience with Cloud architecture, design and development
  • Knowledge of business process re-engineering principles and processes
  • Change Management and Configuration Management (VersionOne, ServiceNow, etc.)
  • Application Lifecycle Management (ALM)

Day to Day Responsibilities:

  • Business Requirements: Analyze and translate business requirements into efficient database designs that meet the data needs of the organization and align with the business goals and processes.
  • Data Modeling: Create conceptual, logical, and physical database models using tools like ERD diagrams to depict a visual representation of the organization's data and how it relates to the business requirements.
  • Database Design Patterns: Utilize common database design patterns to solve recurring design problems.
  • Data Integration: Utilize common data integration techniques to consolidate data from multiple sources into a cohesive and consistent dataset.
  • Normalization Techniques: Utilize normalization principles to reduce redundancy and improve data integrity.
  • Indexing Strategies: Implement indexing techniques to optimize query performance and data retrieval.
  • Database Security: Use data security best practices to enforce data privacy and protect sensitive information.
  • Scalability and Performance: Design database that can scale horizontally or vertically to handle increasing workloads.
  • Collaboration and Communication: Work closely with stakeholders, developers, architects, and other team members to ensure the database design meets the project requirements.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.