Lead Analytics Developer

Responsibilities

• Lead the design and implementation of scalable, enterprise-grade BI and analytics architectures across multiple platforms (e.g., Looker/Looker Studio, Power BI, Tableau, Qlik, or similar).
• Architect and develop robust semantic/data models to support complex KPIs, large datasets, and cross-functional reporting needs.
• Design, develop, test, deploy, and maintain advanced dashboards, applications, and reporting solutions using modern BI tools.
• Develop and maintain scalable ETL/ELT pipelines using SQL, platform-native tools (e.g., Big Query, Dataform, Power Query), APIs, and/or integration frameworks to ingest data from diverse sources (cloud platforms, Oracle, SQL Server, APIs, flat files, legacy systems).
• Implement performance optimization strategies including query tuning, incremental loads, partitioning, materialized views, and data extract optimization.
• Administer enterprise BI environments, including workspace management, deployment pipelines, user/role management, row-level security, job scheduling, monitoring, and performance troubleshooting.
• Design and manage automated and subscription-based reporting solutions, enabling secure and scalable report distribution.
• Establish and enforce data governance standards, including data validation, metadata management, lineage tracking, auditability, and compliance with organizational and regulatory requirements.
• Develop and maintain technical documentation, architecture diagrams, data dictionaries, and operational runbooks.
• Provide technical leadership and mentorship to junior developers and analysts; conduct code reviews and enforce best practices.
• Collaborate with stakeholders to translate business requirements into scalable, secure analytics solutions.
• Support lifecycle management of analytics systems, including enhancements, modernization initiatives, and cloud migration efforts.
• Ensure BI solutions meet enterprise security standards, including access controls and compliance frameworks (e.g., DoD or other regulated environments as applicable).

• 7+ years of progressive experience in BI, analytics development, data engineering, or database development.
• Advanced experience with at least two enterprise BI platforms such as:
• Google ecosystem (Looker, Looker Studio, Big Query)
• Microsoft Power BI
• Tableau
• Qlik Sense/Qlik View
• Strong expertise in SQL and data modeling (star/snowflake schemas, dimensional modeling, semantic layer design).
• Experience designing and maintaining ETL/ELT pipelines using cloud-native or enterprise data platforms.
• Experience administering enterprise BI environments, including security models (row-level security, role-based access control), deployment pipelines, and performance monitoring.
• Understanding of cloud data warehouse architectures (e.g., Big Query, Snowflake, Azure Synapse, Redshift).
• Experience with Agile/Scrum or hybrid development methodologies.
• Experience in regulated or enterprise environments with formal QA, IA, and configuration management processes.
• Strong proficiency in programming languages such as Python, R, or Java for data manipulation and analysis.
• Experience in building and deploying machine learning models and algorithms.
• Familiarity with statistical analysis techniques and methodologies.
• Excellent communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
• Strong problem-solving abilities and experience with agile methodologies in a collaborative environment.
• Bachelor's degree in Information Technology, Computer Science, Data Analytics, Engineering, or related field.
• Must hold a Secret clearance.
• BI platform certifications (e.g., Looker, Power BI, Tableau, Qlik) and Cloud certifications (e.g., Google Cloud, Azure, AWS) are strongly preferred.

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Free Food & Snacks
• Wellness Resources