Analytica is a rapidly growing SBA-Certified 8(a) Small Business that specializes in providing advanced analytics, digital transformation, and enterprise data management services primarily to federal agencies. The company focuses on simplifying complex data to enable its clients to make informed decisions, thereby driving success in their missions and citizen services. With a strong emphasis on management consulting and federal technology training, Analytica employs a data-driven approach to enhance the capabilities of government IT systems and organizations. The company is renowned for its collaborative culture and commitment to employee development, ensuring quality service delivery. Analytica is recognized for its support in public sector innovation and adheres to industry standards like Agile, SAFe, and CMMI. Their mission is to assist the government in utilizing digital tools and data analytics to improve service delivery to citizens.
Information Management • Analytics • Systems & Software Engineering • Data Management • GIS
March 4
Analytica is a rapidly growing SBA-Certified 8(a) Small Business that specializes in providing advanced analytics, digital transformation, and enterprise data management services primarily to federal agencies. The company focuses on simplifying complex data to enable its clients to make informed decisions, thereby driving success in their missions and citizen services. With a strong emphasis on management consulting and federal technology training, Analytica employs a data-driven approach to enhance the capabilities of government IT systems and organizations. The company is renowned for its collaborative culture and commitment to employee development, ensuring quality service delivery. Analytica is recognized for its support in public sector innovation and adheres to industry standards like Agile, SAFe, and CMMI. Their mission is to assist the government in utilizing digital tools and data analytics to improve service delivery to citizens.
Information Management • Analytics • Systems & Software Engineering • Data Management • GIS
• Build & maintain complex cloud-based data solutions based upon AWS & Snowflake • Collaborate with federal clients to architect and develop secure, cloud solutions • Develop scalable and secure cloud-based data architectures using AWS and Snowflake • Define data models, data pipelines, and ETL/ELT processes to support analytics and client needs in the federal space • Establish best practices for data storage, processing, and retrieval in cloud environments • Transition existing cloud AWS environment without interruptions to ongoing operations • Build and optimize data pipelines using AWS tools (e.g., Glue, Lambda, S3, Redshift) and Snowflake • Implement monitoring, logging, and alerting mechanisms for cloud data infrastructure ensuring data pipeline health and performance • Partner with stakeholders to gather and understand business requirements and translate them into technical solutions • Provide mentorship and technical leadership to data engineers and analysts, promoting adherence to architectural standards • Ensure data solutions meet enterprise security and compliance standards
• Bachelor’s degree in Computer Science, Information Technology Management, Engineering or related field • U.S. Citizenship required • Current AWS Solution Architect certification • 10+ years of professional experience developing and testing large scale, enterprise software • 6+ years of experience developing governed data analytics solutions, including expertise in data pipelines, transformations, and visualizations • 5+ Cloud based data warehousing experience to include Redshift, SnowFlake, Databricks • Hands-on experience designing and deploying large-scale cloud-based data solutions • Experience integrating Snowflake with AWS tools and third-party systems • Proven expertise with AWS services (e.g., S3, Glue, Lambda, EC2, IAM, Redshift, etc.) • Deep understanding of Snowflake architecture, including data sharing, multi-cluster warehouses, and Snowpipe • Strong proficiency in SQL and experience with scripting languages (e.g., Python, Java, or Scala) • Knowledge of data modeling, data warehousing concepts, and schema design • Strong communication and collaboration abilities • Analytical mindset with problem-solving skills • Ability to adapt to rapidly changing technologies and business needs
• Opportunities for bonuses • Employer-paid health care • Training and development funds • 401k match
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