BI Engineer

This position is based in Mérida, Yucatán, México. If you do not live in/around Merida, and are still interested in this position, relocation will be required within 60 days of accepting this position. Verato will provide a relocation bonus of $42,500 MNX pesos to help with your move. ABOUT VERATO As digital transformation and AI progress at lightning speed, organizations find themselves data-rich and insights-poor. Digital transformation’s promise to drive better experiences and business performance is falling short.Data is often trapped in silos across disconnected systems of record, such as ERPs and EHRs, systems of engagement, such as CRMs, and systems of insight, such as cloud data platforms. These systems cannot integrate seamlessly without a single source of truth for identity, making it impossible to share and consume complete and trusted 360‑degree views of people, organizations, and networks. Verato, the identity intelligence experts, powers exceptional experiences everywhere by solving the problem that drives everything else — knowing who is who. The Verato MDM Cloud, the next generation of MDM, delivers unprecedented identity intelligence by uniquely combining extraordinary identity resolution and enrichment with identity verification, AI‑powered data governance, and advanced insights. Verato re‑imagines MDM to be purpose‑built and nimble to drive a complete and trusted 360‑degree view of people, organizations, and networks across complex ecosystems with unmatched speed to value, enterprise‑grade performance, and customer success. More than 75% of the US population flows through Verato, powering a single source of truth for identity across the critical industries of healthcare, life sciences, financial services, public sector, and beyond. For more information, visit verato.com. Core to Verato’s strategy for sustained growth is our commitment to building a strong, people‑first culture that attracts, develops, and retains top talent worldwide. Verato operates on the simple principle that a company must prioritize its employees first and foremost. In return, these employees will take care of the company’s customers, and in turn, those customers will support the company’s shareholders. Verato believes in empowering teams with the best tools and development opportunities available. Staff are given chances to expand their knowledge in areas like technology (e.g., big data, distributed/cloud computing, complex algorithms), healthcare, and organizational development. As Verato continues a path of high growth and significant impact, every team member gains an influential front‑row seat as we execute our business strategy. Together, we can bring about a profound and positive transformation in healthcare as we know it today. VERATO VALUES We are committed to continually raising the standard of excellence throughout the organization, from marketing to engineering to customer service. Our guiding principles are to Make a Difference, to be Trustworthy, and to be Customer Obsessed. Verato employees have a precise focus on proactively protecting the privacy and security of all systems while always ensuring they are following documented policies and procedures. 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. ESSENTIAL FUNCTIONS AND 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. 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. DESIRED SKILLS 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. #J-18808-Ljbffr