Senior Analytics Engineer, Nayya

• 5+ years of experience in business intelligence, data analytics, or analytics engineering
• Strong experience with Redshift, Snowflake, or similar data warehouses to enable BI needs
• Deep understanding of data warehouse governance, schema design, environment management, data modeling and transformation
• Expertise in SQL & dbt for data modeling and transformation
• Hands-on experience developing and optimizing dashboards in Tableau, Looker, Power BI, Qlik, or Sigma
• Ability to partner with cross-functional teams to deliver innovative data and analytics solutions
• Mastery in interpreting and presenting data analysis, organized and unstructured data analysis, and data visualization
• Ability to convert data into usable information and insights that are easy for a non-technical audience to understand
• Critical thinking skills, plus the intellectual curiosity to question/test assumptions
• Excellent communication and collaborative skills - able to influence across multiple areas of the business
• We are seeking a candidate who thrives in an environment that prioritizes impatience, excellence, resilience, and courage—someone who is excited about making an immediate impact while pushing the boundaries of what’s possible
• This role requires a strong technical foundation in data modeling, business intelligence, and data governance while also collaborating with stakeholders to ensure data-driven decision-making

Desirable

• We are looking for a Senior Analytics and BI Engineer to help scale and optimize Business Intelligence at Nayya
• You will play a key role in managing and optimizing our data warehouse by owning its governance, schema design, documentation, and integration with BI tools
• Working closely with product, analytics, and data engineering teams, you’ll help shape a best-in-class data strategy that powers our benefits guidance products
• Use business intelligence expertise to build models and strategies that generate actionable opportunities aligned to business stakeholder objectives
• Oversee data warehouse management, ensuring best practices in data modeling are followed for efficient data storage and retrieval
• Own data governance, ensuring data is properly structured, documented, and governed across the organization
• Maintain documentation on data warehouse usage, including how to add data, integrate with BI tools, and optimize performance
• Design and implement data visualization reporting solutions for business stakeholders to enable delivery of key performance metrics and ensure they are maintainable and scalable to changing business needs
• Interface with key business stakeholders to ensure data fluency needs are being met and support the adoption of self-service analytics
• Work closely with cross-functional teams to identify and prioritize business intelligence needs that drive growth and innovation in product development
• Identify opportunities to enhance and further automate current data collection, visualization, and reporting techniques to better manage the business
• Contribute to an efficient and effective data architecture that enables us to collect, store, analyze, model and report data for their software solutions and digital platforms