BI Engineer

Verato Inc.•Portland, OR

just now

About The Position

We are seeking a detail-oriented and analytical BI Engineer to support business decision-making through data-driven insights. The role focuses on building, maintaining, and optimizing business intelligence dashboards, reports, and data models that enable stakeholders to track performance, identify trends, and improve operational and strategic outcomes. This is a technology leadership role within the Enterprise Data Systems department. Verato’s SaaS software offering is a Master Data Management (Verato MDM Cloud) platform that provides our customers with a complete and trusted 360-degree view of their patients, consumers, and providers. This position reports to the Director of Data Insights within the Technology Department.

Requirements

Bachelor’s or master’s degree in computer science, Information Systems, or related field
3+ years of experience as a Data Analyst or Business Intelligence Analyst
3+ years of experience working in data-centric organizations, collaborating closely with data engineering teams
3+ years of experience working with reporting and analytics tools like Tableau, PowerBI, Quicksight or Looker Studio
Solid understanding of data modeling, KPIs, and reporting frameworks
Strong Python or R skills and familiarity with common Python libraries related to data analysis including pandas, boto3, pyspark, etc.
3+ years of experience with AWS S3, Lambda, Airflow, Athena, Redshift. Experience with similar services in GCP/Azure is desired but optional.
3+ years of working experience with Snowflake cloud data warehouse including integration with BI tools and query/cost optimization technics
Must have working knowledge of various data formats like csv, json.
Experience working with agile development methodology.
Experienced in CI/CD and release processes, proficient in github, code commit or other source control management systems, to streamline development and deployment workflows.

Nice To Haves

Knowledge of building Infrastructure in AWS cloud using CFT, Liquibase or Terraform.
Knowledge of data warehousing concepts and ETL processes
Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Redshift).
Experience working with large, multi-source datasets.
Understanding of Master Data Management solutions such as IBM initiate, and knowledge in healthcare domain.
Exposure to multi-tenant/multi-customer environments.

Responsibilities

Analyze large and complex datasets to identify trends, patterns, and actionable insights
Design, develop, and maintain business intelligence dashboards and reports for stakeholders
Translate business requirements into data models, metrics, and visualizations
Ensure data accuracy, consistency, and reliability across data sources, reports and dashboards
Partner with business teams to understand reporting needs and provide support
Schedule and automate reports and improve reporting efficiency including performance and cost
Document data definitions, reporting metric definitions, and operational processes
Continuously improve data quality and reporting best practices
Collaborate with other engineering and DevOps team members to implement, test, deploy, and operate data pipelines in support of insights.
Build necessary components to ensure data quality, monitoring, alerting, integrity, and governance standards are met
Able to navigate ambiguity and thrive in a fast-paced environment.
Proactive, results-oriented, and operates effectively with minimal supervision.
Ability to communicate insights clearly to technical and non-technical audiences.