Senior Data & BI Automation Analyst

About the Role 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.

What You’ll Do

• BI Automation & Scalable Systems: Architect, deploy, and maintain automated reporting frameworks, self-updating dashboards, and data delivery pipelines using modern BI tools and orchestrators.

• Workflow & Process Optimization: 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.

• Stakeholder Alignment & Delivery: 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.

• Data Pipeline
  
  Collaboration:
  
  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).

• Cross-Functional Analytics: Collaborate with Product, Marketing, and Operations teams to translate complex, automated data models into clear, actionable, self-service business insights.

• Data Strategy & Architecture Expansion: Pioneer automated data quality frameworks, monitoring systems, and scalable metrics trees as  continues to expand.

What You Need

• Experience: 4+ years of professional experience in data analytics, BI engineering, or data automation, with a proven track record of automating operational workflows.

• Education: Degree in Computer Science, Information Systems, Mathematics, Statistics, Economics, or a field with a strong quantitative/technical focus preferred.

• Data & Transformation Mastery: Advanced proficiency in SQL and experience with modern transformation layer tools (e.g., dbt) for building scheduled, production-grade data models.

• Automation & Scripting: Strong programming skills in Python using libraries for API integration, data manipulation, and task automation (e.g., Pandas, Airflow, Prefect, or custom cron jobs).

• Modern BI & Visualization: Deep hands-on experience setting up automated, self-service BI dashboards and semantic layers using enterprise tools (e.g., Looker, Tableau, Power BI).

• Communication & Storytelling: Proven ability to distill complex automated architectures and data models into clear, actionable business narratives for both technical and non-technical stakeholders.

• End-to-End Ownership: Strong project management skills with the ability to take an automation project from initial scoping and architecture design through execution and stakeholder adoption.

• Culture Fit: Ability to thrive in an ego-free, highly collaborative, and fast-paced environment.

Our Principles

We live these every day. If they don't sound like you, this won't be a fit and we'd both rather know now.

• Impact. Our work matters. We take a lot of pride in building to advance mission outcomes.

• Overdeliver. We go above and beyond in everything we do - creating products and serving our users

• Hustle. We get stuff done, no matter what it takes.

• Empathy. Our users’ problems are our own. We don't push products, we solve problems.

• Humility. We’re not afraid to admit what we don’t know. Our job is to listen and grow.

• Integrity. Transparency & respect above all else. It’s non-negotiable, even when it isn't easy

Benefits & Structure

• We’re a…