Data Analyst Level 3

Diverse Agile Solutions (DAS) is seeking an experienced Data Analyst Level 3 to join our team supporting a large-scale data analytics and management initiative. The successful candidate will support COVID-19 data dashboards, data distribution to external entities and the public, and a variety of data management and analytics activities.

This is an excellent opportunity for an experienced data professional with strong Python, database, ETL, cloud, and data visualization experience.

Position Overview

The Data Analyst Level 3 will provide data analysis, data management, reporting, transformation, and visualization support for large-scale data environments.

The contractor will work closely with technical teams and stakeholders to research and document technical designs, develop and test programming solutions, troubleshoot and resolve defects, provide technical support, and ensure project deliverables meet established requirements and standards.

Key Responsibilities

• Perform data analysis and management supporting COVID-19 data dashboards and data distribution initiatives.
• Prepare, process, transform, analyze, and report on large and complex datasets.
• Support the development and maintenance of data processing and ETL pipelines.
• Research, analyze, and document technical requirements and solution designs.
• Develop programming solutions to support data analytics and management requirements.
• Write and execute unit test plans to validate data processing and application functionality.
• Research, troubleshoot, resolve, and test software and data-related defects.
• Develop and maintain data transformation and processing workflows.
• Support data visualization initiatives involving large datasets.
• Develop reports, dashboards, and analytical products for technical and non-technical stakeholders.
• Provide customer technical support and assist with troubleshooting data-related issues.
• Work collaboratively with other developers, analysts, engineers, project managers, and stakeholders.
• Ensure technical deliverables are properly documented and meet project requirements.
• Support cloud-native and hybrid data applications and solutions.
• Work with relational and NoSQL databases containing large volumes of data.
• Assist with data quality, validation, and integrity activities.
• Participate in technical discussions, design reviews, testing, and implementation activities.
• Perform other related duties as assigned.

Required Qualifications

• Bachelor's degree or higher in Data Engineering, Computer Science, Management Information Systems (MIS), Information Technology, or a related field from an accredited institution.
• 6+ years of experience working on medium- to large-scale technical projects.
• 6+ years of experience with data analytics, including:
  • Data processing
  • Data transformation
  • Data reporting
  • Data visualization
  • Data analysis
• Demonstrated experience ensuring project deliverables and scope are completed and properly documented.
• Must be legally authorized to work in the United States.

Important: A copy of the candidate's degree may be required as part of the candidate submission process.

Preferred Qualifications

• 6+ years of experience with Python-based data analytics projects.
• 6+ years of experience working with relational and NoSQL databases, including technologies such as:
  • Oracle
  • PostgreSQL
  • MongoDB
  • DynamoDB
  • Other enterprise-scale database technologies
• Experience working with databases containing 10+ million records.
• 6+ years of experience developing and maintaining data processing and ETL pipelines.
• 6+ years of experience developing cloud-native and hybrid applications using serverless platforms.
• 6+ years of experience designing and implementing data visualizations using large datasets, including datasets containing 1 million+ records.
• Experience with analytics and visualization platforms such as Tableau.
• Experience working with cloud platforms and cloud-based data services.
• Experience supporting public-sector, healthcare, or other highly regulated data environments is a plus.
• Strong written and verbal communication skills.
• Strong analytical, problem-solving, and troubleshooting skills.

Technical Skills

Programming & Analytics

• Python
• Data Analytics
• Data Processing
• Data Transformation
• Data Modeling

Databases

• Oracle
• PostgreSQL
• MongoDB
• DynamoDB
• Relational Databases
• NoSQL Databases

Data Engineering

• ETL/ELT
• Data Pipelines
• Data Integration
• Data Quality
• Large-Scale Data Processing

Cloud & Application Development

• Cloud-Native Applications
• Hybrid Applications
• Serverless Architecture
• Cloud Data Services

Visualization

• Tableau
• Data Dashboards
• Large-Scale Data Visualization
• Reporting & Analytics

What We're Looking For

The ideal candidate is a senior-level data professional who can work independently in a complex technical environment and has demonstrated experience working with large datasets and enterprise data platforms.

We are particularly interested in candidates who can combine Python development, data analytics, ETL/data engineering, database management, cloud technologies, and data visualization.

Candidates should be comfortable translating business and technical requirements into practical data solutions and communicating technical information to both technical and non-technical stakeholders.

Education

Required: Bachelor's degree or higher in Data Engineering, Computer Science, MIS, Information Technology, or a related field.

Work Authorization

Candidates must be legally authorized to work in the United States.

Equal Opportunity Employer

Diverse Agile Solutions is committed to providing equal employment opportunities to all qualified applicants. We value diversity and inclusion and encourage qualified professionals from all backgrounds to apply.