Senior Data Analyst

GDIT is a technology and professional services company delivering technology solutions and mission services to government, defense, and intelligence organizations. The Senior Data Analyst will lead data analysis, cloud data architecture, migration, data management, and business intelligence initiatives while guiding data engineering and analytics teams.

Responsibilities:

• Collaborate with business stakeholders to understand data needs and translate them into technical solutions, including data modeling, data governance and integration with various systems
• Collaborate with Product Owners (POs), Temporary Duty Assignees (TDYs), and business analysts to analyze structured and unstructured data sets
• Experience in conducting advanced research for advanced technologies to determine how IT can support business needs leveraging software solutions
• Understand and implement solution in support of physical data models necessary to support business intelligence reporting initiatives. Conduct analysis to create innovative solutions
• Incorporate standards and best practices, including performance, security, scalability, and maintainability
• Lead the team of data engineers, data analysts, reporting analysts to implement enterprise content and data management solutions to reduce cost and complexity, increase trust and integrity, and improve operational effectiveness
• Spearhead data migration efforts for all on-prem databases into Azure cloud
• Architect solutions to ingest data from API’s, Big data sources into data lake and create cloud data warehouses to present the key findings and actionable insights to the leadership through reports and visualizations
• Developing and overseeing data mappings to modern systems and data platforms
• Architect, design and develop cloud-based data lake architectures for data management, master data, data warehouse to support Analytics and BI dashboards
• Hosts and conducts peer reviews of the code of other developers on the team. Mentor and train team members to promote cross training
• Optimize and enhance existing data pipelines to ensure high data quality, performance, and scalability
• Develop CICD solutions using Bamboo, Azure DevOps and bitbucket for on-prem and cloud-based solutions
• ;margin-top:0in;">Develop CICD solutions using Bamboo, Azure DevOps and bitbucket for on-prem and cloud-based solutions.;margin-top:0in;">Develop CICD solutions using Bamboo, Azure DevOps and bitbucket for on-prem and cloud-based solutions

Requirements:

• 7 + years of related experience
• At least seven (7+) years in developing IT and cloud infrastructures
• Bachelor's degree in Computer Science, Computer Programming, Computer Engineering or relevant computer-based major
• Expertise in database technologies (relational, NoSQL)
• Proficient in Data modeling tools, Data warehousing and Data Lake concepts
• Knowledge of Open-Source programming for ETL, Analytical and Statistical techniques such as Python
• Strong analytical skills and problem-solving skills with the ability to formulate and communicate recommendations for improvement
• Experienced with process design and documentation methodologies, and design and production of quality deliverables, process and use case modeling, business case development
• Experienced in understanding business requirements and mapping into technical requirements
• Demonstrated ability to work effectively, independently, and as part of a team
• Outstanding communication, organization, stakeholder management, time management, and interpersonal skills
• Good written and verbal communication skills coupled with strong listening skills
• Prior Experience with PowerBI would be nice to have
• Prior experience in cloud Data warehouse technologies such as Snowflake
• Experience in BusinessObjects administration in a Windows environment
• Experience in Office 365 Online, Microsoft Azure, Microsoft Active Directory, and other Microsoft platforms (e.g., MS SQL Server, MS SQL Service Integration Services, MS SQL Server Analysis Services)
• Knowledge of court operations and law enforcement business data