Analytica is an award-winning consulting and technology services provider that supports public-sector health, civilian, and national security. We specialize in data-driven solutions, which have been recognized by organizations such as NYU’s Governance Lab for driving public sector modernization and innovation. Analytica is an SBA Certified 8(a), HUBZone that has been honored as one of the 250 fastest-growing businesses in the U.S. for three consecutive years by Inc.

For information on the company visit: www.analytica.net
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Analytica

Data Engineer

Lead cloud data engineering implementations for U.S. government health, civilian, and national security missions.

• Lead cloud data engineering implementations
• Build and scale advanced cloud data pipelines
• Work hands-on with technical implementations
• Work directly with clients in consulting and delivery capacity
• Tackle complex enterprise cloud or on-premises software projects

Data Engineering Lead

Data Scientist

• Provide statistical analysis and model development using programming languages
• Develop analytics solutions that are scalable, repeatable, effective, and meet the expectations of the decision-makers and stakeholders
• Perform data analysis, research, and data manipulation tasks
• Perform queries and interpret business data requests to create efficient queries
• Directly support users by developing advanced reporting and analytics
• Work with project stakeholders and the software development team to develop data analysis
• Assisting users in choosing data sources and discovering new methods for achieving goals

Business Analyst

• Gather and analyze data for potential business expansion
• Assist with project management for selected projects
• Coordinate with project team to improve productivity, test business processes and develop structured requirements
• Convert roadmap features into smaller user stories
• Communicate and validate requirements with relevant stakeholders
• Perform data discovery, analysis and modeling

• Serve as a technical lead in broadening our clients analytics as a service offerings to internal stakeholders
• Coordinate and maintain user stories
• Serve as primary point of contact for vendors of off-the-shelf analytic applications, as well as represent the open source analytics community (Python/Spark, R, etc, and their associated notebook/integrated development environment capabilities)
• Develop and deliver internal analytics required to support cost estimation and forecasts, performance metrics, data management scripts, etc.

Lead Data Scientist

Analytics Engineer

• Support extract, transform, and load (ETL) processes for SAP/Sybase IQ database and support programs and processes to load update
• Create and maintain SQL scripts, stored procedures, and other program logic to create, update, and delete data
• Design and implement schema changes, manage indexes, and alter data objects to optimize performance
• Design efficient data models from a logical design based on business requirements and available use patterns
• Identify entity relationships, referential integrity constraints, and primary key structures
• Perform analysis of tradeoffs between alternative schemas
• Create and maintain documentation that includes file specifications, schema, core record layouts, programs, business requirements, test plans, and other artifacts used in the administration, creation, and execution of database operations

ETL Developer

• Lead architecture and implementation of on-premises and cloud big data solutions
• Build out data pipelines in AWS for data lakes and data warehouses
• Implement data pipelines for batch and streaming data sources
• Utilize AWS serverless components in the data pipeline architecture
• Use IaC tools to deploy the pipelines within AWS

Analytica Jobs in New York City