Senior Data & BI Automation Analyst

Obviant•Arlington, VA

2d•Hybrid

About The Position

As a Senior Data & BI Automation Analyst at Obviant, you will lead high-impact analytics and data pipeline initiatives that scale our decision-making capabilities, streamline internal workflows, and optimize overall business performance. You will act as a trusted technical partner, designing automated reporting frameworks, building robust data delivery mechanisms, and replacing manual workflows with resilient, self-service data systems for Obviant.

Requirements

4+ years of professional experience in data analytics, BI engineering, or data automation, with a proven track record of automating operational workflows.
Degree in Computer Science, Information Systems, Mathematics, Statistics, Economics, or a field with a strong quantitative/technical focus preferred.
Advanced proficiency in SQL and experience with modern transformation layer tools (e.g., dbt) for building scheduled, production-grade data models.
Strong programming skills in Python using libraries for API integration, data manipulation, and task automation (e.g., Pandas, Airflow, Prefect, or custom cron jobs).
Deep hands-on experience setting up automated, self-service BI dashboards and semantic layers using enterprise tools (e.g., Looker, Tableau, Power BI).
Proven ability to distill complex automated architectures and data models into clear, actionable business narratives for both technical and non-technical stakeholders.
Strong project management skills with the ability to take an automation project from initial scoping and architecture design through execution and stakeholder adoption.
Ability to thrive in an ego-free, highly collaborative, and fast-paced environment.

Responsibilities

Architect, deploy, and maintain automated reporting frameworks, self-updating dashboards, and data delivery pipelines using modern BI tools and orchestrators.
Audit existing manual reporting processes across teams, replacing fragmented spreadsheets and ad-hoc queries with automated, production-grade scripts and data workflows to determine requirements for fully automated systems.
Interface directly with business leaders, cross-functional teams, and government partners to conduct targeted analytics, understand operational workflows, and translate complex business needs into scalable, automated solutions.
Partner closely with Data Engineering to design and optimize analytical data models, automated data transformations, and scheduled ELT/ETL jobs (e.g., via dbt or Airflow).
Collaborate with Product, Marketing, and Operations teams to translate complex, automated data models into clear, actionable, self-service business insights.
Pioneer automated data quality frameworks, monitoring systems, and scalable metrics trees as obviant.com continues to expand.