Senior Analytics Engineer, Kranus Health

• Bachelor's or Master's degree in computer science, data science, mathematics, statistics, engineering, business, or a comparable
• SQL Expertise: Proven proficiency in writing efficient and scalable SQL for BigQuery or similar platforms
• Power BI: Hands-on experience developing Power BI semantic models using DAX, creating dashboards, and building reports
• Y42 and dbt Core: Familiarity with these tools or similar experience with data pipeline platforms and transformation frameworks
• Experience in a Fast-Paced Environment: Background in startups, scaleups, or other dynamic work environments
• Stakeholder Collaboration: Strong communication skills to gather requirements, align on deliverables, and present findings effectively
• Problem-Solving Skills: Ability to analyze complex problems, identify root causes, and implement effective solutions

Desirable

• Develop and maintain data pipelines: Leverage Y42 with dbt Core on GCP (BigQuery) to build, optimize, and maintain robust and scalable data pipelines
• Create Power BI/MS Fabric solutions: Develop Power BI semantic models using DAX, design interactive dashboards, and build reports in Power BI Desktop to deliver actionable insights
• Support ad-hoc analyses: Utilize Python for one-off analyses and to support the development and maintenance of custom components in the data stack and pipelines
• Collaborate with stakeholders: Work closely with cross-functional teams to gather requirements, align on expectations, and implement data solutions that meet business needs
• Drive data quality and governance: Ensure data accuracy, consistency, and security across all solutions and contribute to the evolution of data governance practices
• Stay current: Keep up-to-date with the latest trends and advancements in analytics, data engineering, and BI technologies, proactively sharing knowledge and ideas for continuous improvement