About the Role
We are currently seeking a solid BI Engineer who has expertise in both back-end data processing technologies as well as building cutting edge data visualizations to provide self-service actionable analytics products. This position will play a key role in the design and development of a cloud-based Data Intelligence and Analytics services.
Your Area of Focus
Lead and Innovate: Help lead the design and development of scalable, efficient, and user-friendly BI solutions across the organization, ensuring alignment with business needs and objectives.
Advanced Data Modeling: Develop and optimize data models, data flows, and processes to support high-quality reporting, data analysis, and business intelligence solutions.
AI-Enhanced Insights: Integrate and develop AI-driven modeling, such as semantic layers, AI "cortex" frameworks, predictive analytics, and automated feature generation into BI architectures to elevate data accessibility, accelerate insight discovery, and enhance decision-making across the business.
Platform Optimization: Ensure the performance and scalability of BI tools, including Tableau, Power BI, and Snowflake, by tuning data sets and providing recommendations for improvements.
Stakeholder Collaboration: Engage with business leaders, product teams, and stakeholders to translate complex business requirements into technical specifications, and help define reporting and analytics needs.
Complex Reporting & Dashboarding: Design, implement, and optimize complex reports and dashboards, ensuring data accuracy, consistency, and actionable insights for various business functions.
Cross-functional Leadership: Work closely with data engineers and application developers to integrate and fine-tune data sources feeding BI platforms.
Problem Solving & Troubleshooting: Proactively identify and resolve issues related to BI platforms, data inconsistencies, and reporting inefficiencies.
Continuous Improvement: Lead efforts to improve the BI tools, processes, and standards in place. Suggest and implement best practices for data handling, visualization, and reporting.
Documentation & Knowledge Sharing: Create and maintain thorough documentation for BI solutions, ensuring clear communication of processes, technical architecture, and solution designs.
Mentorship & Development: Provide technical mentorship to junior team members, helping them develop their skills in BI technologies, data analysis, and reporting best practices.
Thought Leadership: Contribute to strategic planning and decision-making around BI tools, data architecture, and analytics infrastructure.
Your Professional Qualifications
Education: BS in Computer Science, Data Science, Mathematics, or related field, or equivalent experience. A Master's degree or relevant certifications is a plus.
Experience: 5+ years of experience in Business Intelligence, data engineering, or analytics, with at least 3 years of hands-on experience with BI tools like Tableau, Power BI, and Snowflake.
Advanced Technical Skills: Expertise in BI/reporting software (Power BI, Tableau), strong SQL knowledge (T-SQL, PL/SQL), and experience with big data technologies.
Data Architecture & Modeling: In-depth understanding of data modeling, ETL processes, and data warehousing concepts. Ability to design data flows and pipelines for complex BI systems.
Statistical & Analytical Knowledge: Proficient in data analysis, statistical techniques, and study design. Familiarity with control charts, significance testing, and experimental design.
Leadership & Communication: Proven ability to lead complex projects, collaborate effectively with business and technical teams, and communicate complex data concepts to non-technical stakeholders.
Problem Solving & Optimization: Strong troubleshooting skills and the ability to optimize BI solutions for performance and efficiency.
Industry Knowledge: Experience working in industries with large-scale data infrastructure (Healthcare, Finance, Tech, etc.) is a plus.
Certifications: Microsoft SQL Server, Oracle, Snowflake, Tableau, or Power BI certifications are highly preferred.
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