Power BI Engineer

About Convene Inc. Convene, Inc. is a Tampa based, award-winning technology services organization with offices and resources throughout the US, Mexico, and India. We have successful, referenceable customers, competitive benefits, and high-growth opportunities.

• Data Modeling & Semantic Layer – Design and maintain scalable data models and semantic layers to ensure consistent KPI definitions and trusted reporting.
• ETL / Data Preparation – Build robust ETL pipelines using Power Query / M to ingest, clean, transform, and integrate data from multiple sources (e.g., ERP, cloud databases, flat files).
• Power BI Dashboard Engineering – Develop interactive dashboards using advanced DAX measures, slicers, bookmarks, and navigation patterns to support diverse user personas (Ops, Finance, Exec).
• Azure / Cloud Data Platform Enablement – Implement and maintain scalable back-end architectures leveraging Azure SQL, Azure Synapse, and Data Lake (Gen2) for reliable data processing and analytics workloads.
• Performance & Reliability – Apply optimization techniques to improve dataset/report performance, refresh reliability, and overall user experience in high-volume environments.
• Paginated / Operational Reporting – Build paginated reports (SSRS / Power BI Paginated) for detailed operational reporting consumed by large teams on a recurring cadence.
• Dataflows & Reusability – Create and maintain Power BI Dataflows to centralize ingestion logic and streamline refresh cycles.
• Stakeholder Management & Adoption – Lead requirements discovery with business stakeholders; deliver training, documentation, and onboarding to drive adoption and data literacy.
• Operational Excellence – Create SOPs and automate recurring workflows for refreshes, QA, and deployment processes.

• Power BI Expertise – 7+ years in BI / analytics engineering, with deep hands-on expertise in Power BI delivery.
• Advanced DAX (measures, calculated columns, time intelligence, performance patterns) and strong Power Query/M skills.
• SQL & Data Modeling – Strong SQL for extraction, joining, and shaping data; solid dimensional modeling fundamentals (star schema, grain, surrogate keys, conformed dimensions).
• Cloud Data Platforms – Proven experience with Azure SQL and/or Azure Synapse and lake-based architectures.
• Reporting at Scale – Experience supporting executive and operational reporting for large user bases, including deployment and enablement.
• Communication – Strong written and verbal communication skills; able to translate business questions into data products and explain metrics clearly to non-technical audiences.

• Microsoft Fabric exposure and/or modern lakehouse patterns.
• Experience with SSRS / paginated reporting and governance for enterprise reporting.
• Experience with additional platforms (e.g., Snowflake, RDS, Salesforce, Net Suite) and integrating multi-source environments.
• Prior experience delivering investor/board-level reporting and metric storytelling (cohorts, CAC, churn, LTV).

• Strong ownership mindset; can take ambiguous requirements and drive to a high-quality deliverable.
• Detail-oriented with high standards for data quality, documentation, and usability.
• Collaborative and consultative—comfortable partnering with Finance, Operations, Sales, and Leadership.