Note: The job is a remote job and is open to candidates in USA. Obviant is hiring a Senior Data & BI Automation Analyst to lead analytics and data pipeline initiatives that improve decision-making and business performance. The role focuses on automating reporting, building resilient data systems, optimizing workflows, and delivering self-service insights in partnership with business and technical teams.
Responsibilities
- 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 [obviant.com](http://obviant.com) continues to expand
Skills
- 4+ years of professional experience in data analytics, BI engineering, or data automation, with a proven track record of automating operational workflows
- 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
- Degree in Computer Science, Information Systems, Mathematics, Statistics, Economics, or a field with a strong quantitative/technical focus preferred
Benefits
- Flexible schedule; work from home when you need to.
- Sizeable equity.
- Flexible vacation time.
- Full health, dental, and vision insurance.
Company Overview