Senior Data Analyst

General Dynamics Information Technology, Inc.; Washington (District of Columbia); Hybrid; USD 149,000 - 201,000; Full time

Benefits offered by this job

Health plan with HSA

401(k) with company match

Paid time off

Paid holidays

Parental leave

Job summary

General Dynamics Information Technology, Inc. is seeking a Senior Data Analyst to collaborate with stakeholders, translate data needs into technical solutions, and lead a team for enterprise data management and BI reporting.

The role focuses on data integration, governance, cloud migrations to Azure, and scalable data lake/warehouse architectures to deliver actionable insights to leadership.

Qualifications

• 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 and problem-solving skills with ability to communicate recommendations for improvement.
• Experience with process design and documentation methodologies, and design and production of quality deliverables.

Responsibilities

• Collaborate with business stakeholders to understand data needs and translate into technical solutions, including data modeling, governance and integration.
• Lead data engineers, analysts, and BI staff to implement enterprise data management solutions to reduce cost and increase trust and integrity.
• Spearhead data migration efforts for on-prem databases into Azure cloud.
• Architect solutions to ingest data from APIs and big data sources into data lake and create cloud data warehouses for leadership reports and visualizations.
• Develop and oversee data mappings to modern systems and data platforms.
• Mentor team members to promote cross training and best practices.

Skills

Big Data

Data Analytics

Data Management

Python

Education

Bachelor's degree in Computer Science/Engineering

Tools

PowerBI

Snowflake

Office 365 Online

Azure

MS SQL Server

Job description

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: Other Job Family: Data Science and Data Engineering Job Qualifications: Skills: Big Data, Data Analytics, Data Management Certifications: None Experience: 7 + years of related experience US Citizenship Required: No

Job Description

The Senior Data Analyst will execute the following 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.

REQUIRED QUALIFICATIONS

• 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.

PREFERRED QUALIFICATIONS

• 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.

The likely salary range for this position is $148,750 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours: 40 Travel Required: None Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations:

Total Rewards at GDIT

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

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