SENIOR ANALYST – DATA ANALYTICS (Data Engineering)
Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 10, 2026.
JOB PURPOSE
The Senior Analyst - Data Analytics is responsible for transforming complex data into actionable insights that support data-driven decision-making across the organization. The role designs, develops, and maintains data models, analytics solutions, dashboards, and reporting frameworks while ensuring data quality, governance, and accessibility. The incumbent collaborates with business and technical stakeholders to deliver analytical solutions that improve operational performance and support strategic objectives.
KEY RESPONSIBILITIES
Conduct data analysis to identify trends, patterns, and correlations.
Gather business and technical requirements for data, application, API, and machine learning solutions; translate them into designs and delivery plans.
Design, build, and maintain ingestion pipelines for databases, files, APIs, and event streams, including scheduling, error handling, and recovery.
Develop warehouse and lakehouse data layers that preserve source history, standardize business entities, and publish trusted datasets for consumption.
Define data models, business keys, transformations, and historical data rules to integrate information across source systems.
Implement data quality checks, reconciliation, monitoring, and alerts for incomplete, delayed, duplicated, or inaccurate data.
Optimize data pipelines, storage, and queries for performance, reliability, scalability, and cost; investigate and resolve production issues.
Prepare and maintain datasets for dashboards, applications, APIs, advanced analytics, and machine learning use cases.
Work with relevant teams to prepare training and inference data, integrate approved ML models into applications or pipelines, and monitor their outputs and performance.
Design, develop, and maintain web applications, backend services, and secure REST APIs using .NET and other approved technologies.
Build interfaces between internal applications, third-party systems, and data platforms with appropriate authentication, authorization, logging, and error handling.
Develop automated unit, integration, and data validation tests; participate in code reviews and follow release and deployment processes.
Document data flows, interfaces, code, data definitions, operational procedures, and known limitations to support maintainability.
Work with business users and source system owners to validate delivered data and functionality and support user acceptance and sign-off.
EDUCATION / QUALIFICATIONS
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Technology, or a related field.
EXPERIENCE
Proven experience of at least 2 years in data analytics or a related field